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Chapter 1: Introduction to the Study
Overview
Gun violence in Virginia has increased every year since 2012. High-profile
incidents such as the April 2007 Virginia Tech shooting, November 2013 shooting of a
state senator, August 2015 execution of a reporter and cameraman during a live telecast,
and May 2019 mass shooting at Virginia Beach have led to repeated calls for
comprehensive gun control legislation (Parsons et al., 2015). Regardless of strong public
support for some gun control measures, such as universal background checks, state-level
legislative trends throughout the United States in the last 20 years have focused on
deregulation vice strengthening gun laws (Reich & Barth, 2017). Extensive literature
exists on the interpretation of the 2nd Amendment and rulings by the U.S. Supreme
Court. Furthermore, substantial research exists on attitudes toward gun control policy and
specific gun control measures’ effectiveness. This study’s foci were Virginia gun owner
and non-gun owner perspectives on gun control initiatives and the 2nd Amendment
Sanctuary movement, specifically how their attitudes align with the conflicting legislative
efforts at the state and local levels.
This research contributes to the literature by examining an aspect of the gun
control policy debate not previously researched, highlighting the extent to which gun
owner and non-gun owner attitudes reflect the divergence between state and local gun
policy initiatives. This study has the potential to inform lawmakers, policy advocates,
special interest groups, and the public about conflicting attitudes toward gun control
measures and 2nd Amendment Sanctuary resolutions so that policy that aligns with
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constituent beliefs is implemented. This study promotes positive social change by
contributing to the literature on gun policy attitudes to assist in the development and
implementation of effective and widely endorsed policies to address gun violence in
Virginia.
In this chapter, I discuss the research study’s background and address the gap in
current knowledge. I then introduce the problem statement, the purpose of the study, and
research questions and hypotheses. Next, I describe the theoretical framework, nature of
the study, assumptions, scope, delimitations, and limitations. The chapter concludes with
a synopsis of the study’s significance and an overall summary of the main points.
Background
A vital component of the debate over gun control today centers on a “balance
between the government’s obligation and authority to protect the citizens of the nation
not only from foreign invasion but also from each other, and the ability of law-abiding
citizens to exercise their constitutional right to self-defense with a firearm” (Cooper,
2015, p. 351). In a move away from historical precedent, the U.S. Supreme Court in
District of Columbia v. Heller (2008) ruled that an individual had the right to own a
firearm to defend themselves. Two years later, in McDonald v. City of Chicago (2010),
the U.S. Supreme Court determined that an individual’s 2nd Amendment rights were
protected from infringement by both the federal and state governments (Cooper, 2015).
State-level governments enact the majority of firearm legislation, and this shift in
interpretation is at the core of the gun policy conflict today.
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In response to threats and actions toward more restrictive gun legislation at the
state level, local jurisdictions across the country have passed 2nd Amendment Sanctuary
resolutions aimed at opposing the enforcement of any gun control law that violates the
2nd Amendment. In Virginia, within a 4-month period, November 2019 to February
2020, more than 95% of the counties throughout the state had declared themselves 2nd
Amendment Sanctuaries (Gunter, 2020). The Virginia governor responded, on what was
perceived as a more robust gun control mandate during the 2019 elections, by enacting
seven new gun control laws in April 2020 (Miller, 2020).
The extensive literature on the effectiveness of specific gun control measures at
reducing gun violence shows mixed results. Data inaccuracy, inconsistencies in
methodology, subjective scoring or ratings of legislation, use of proxy variables to
measure gun ownership, inaccurate measures and testing, and inconsistent definitions
lead to skewed research results and conflicting outcomes across the spectrum of studies
(Kposowa et al., 2016; Lang, 2016; Makarios & Pratt, 2012; Martin & Legault, 2005;
RAND, 2018; Rostron, 2008). Literature is also prevalent regarding the types of exposure
to policy imaging that may influence attitudes within the gun policy debate. Specifically,
I examined eight categories relevant to policy imaging. Research shows that the media
and interest groups, high-profile events such as mass shootings, suicide rates, mental
health perspectives, culture, religion, and political identity all influence public attitudes
toward gun control policy (Cukier & Eagan, 2018; Kposowa et al., 2016; McGinty et al.,
2016; Miller, 2019; Yamane, 2016).
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Much of the literature on gun owner and non-gun owner perspectives of gun
control concentrates on specific gun control measures coupled with control variables such
as race, gender, political or religious affiliation, culture individualism versus collectivism,
and rural vice urban identity (Blanco, 2016). A specific gap exists in determining gun
owner and non-gun owner attitudes on 2nd Amendment Sanctuaries and the divergent
gun policy initiatives between state and local governments. A gap also exists in assessing
the effects of exposure to policy imaging regarding gun policy initiatives and 2nd
Amendment Sanctuaries related to gun owner and non-gun owner attitudes. This study
was needed to help researchers understand the attitudes of gun owners and non-gun
owners and the effects of policy images on those attitudes related to 2nd Amendment
Sanctuaries and the divergent gun policy initiatives between state and local governments.
Problem Statement
Prior to 2020, the Virginia General Assembly’s specific efforts to enact more
stringent laws to mitigate gun violence had been largely unsuccessful (Berti, 2019).
However, after the 2019 state-wide Virginia General Assembly election, the governor,
senate, and House of Delegates were controlled by the Democratic Party for the first time
in more than 2 decades. The Democrats had campaigned on stricter gun control and with
the shift in power the General Assembly proposed numerous legislative policies aimed at
increasing gun control. In protest, between November 2019 and February 2020, more
than 95% of counties and 42% of independent cities in Virginia passed a 2nd Amendment
Sanctuary resolution. Although these resolutions were mostly a political statement and
not legally binding, many local jurisdictions declared they would not enforce state or
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federal gun laws perceived to violate the 2nd Amendment to the U.S. Constitution
(Gunter, 2020). Regardless of the mobilization of the 2nd Amendment Sanctuary
movement in Virginia, during the 2020 general assembly session, seven state-wide gun
control bills were passed and signed into law by the governor (Arnold, 2020).
This conflict between state legislative proposals and local jurisdictions is
problematic as it suggests a divide within the constituency. Research shows that the
majority of firearm legislation is implemented at the state level. However, it is not clear
whether state initiatives or local resolutions genuinely reflect the will of the people
(Sabbath et al., 2020). Researchers do not know what Virginia gun owner and non-gun
owner attitudes are regarding local enactment of 2nd Amendment Sanctuary resolutions
and state gun law proposals. Additionally, researchers do not know what policy image
factors influence the contradictory perspectives regarding state and local government gun
policy initiatives in Virginia. The literature that I reviewed for this study suggested that
others have investigated attitudes on gun control, focusing on public preferences, police
chief, sheriff and African American legislators’ perceptions, media influence, mental
health and social issues, school security concerns, and special interest groups (Miller,
2019). None of the literature examined whether gun owner and non-gun owner attitudes
support 2nd Amendment Sanctuary resolutions or gun control legislation at the state level
or the effects of policy image on those attitudes. My research fills this gap by
contributing data to the literature to better understand the gun law conflict between state
and local jurisdictions. It potentially influences constituency-endorsed development of
policy to mitigate gun violence at the state level.
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Purpose of the Study
The purpose of this quantitative cross-sectional correlational research study was
to examine Virginia gun owner and non-gun owner attitudes on gun policy and enhance
the understanding of the conflict between divergent views that influence gun policy
initiatives at the state and local levels. In this study, I examined the attitudes of Virginia
gun owners and non-gun owners, specifically on 2nd Amendment Sanctuary resolutions
and state-level gun legislation policies and proposals. Additionally, I assessed the
influence of policy image factors on the conflicting initiatives proposed at the state and
local levels. I assessed Virginia gun owner and non-gun owner attitudes on 2nd
Amendment Sanctuary resolutions, policy image, and state-level gun control policies and
proposals through primary data gathered from surveys. This study was unique because in
it, I addressed an aspect of the gun control debate, specifically attitudes of constituents on
divergent state and local policy initiatives, which was under-researched.
In this quantitative cross-sectional correlational study, I focused on a population
(gun owners and non-gun owners) that directly influences and participates in the conflict
between greater gun control and greater gun freedom, which affects the development of
strategies to mitigate gun violence at the state level. The independent dichotomous
variable for this study was gun ownership, and the dependent variable was attitudes on
2nd Amendment sanctuary resolutions measured on a 7-point Likert scale. A composite
score of gun owner and non-gun owner attitudes based on nine specific gun control laws
comprised both a dependent and predictor variable to address the research questions. I
assessed gun control laws regarding universal background checks, protective orders,
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carrying firearms in sensitive areas, a one-gun-a-month purchase limit, reckless
endangerment of a minor, notification of lost or stolen weapons, extreme risk protection
orders, assault weapons and magazine bans, and concealed carry. I measured the variables
for generating a composite score on a 7-point Likert scale.
I generated a policy image index variable consisting of categorical factors to
provide an index score which functioned as a predictor variable. The eight exposure to
policy image factors were media coverage, interest group involvement, mass shooting
awareness, gun suicide prevalence, mental health impacts, cultural influence, religious
influence, and political identity influence. The covariates in this study were the
categorical demographic variables, gender, race, and political affiliation.
Research Questions and Hypotheses
RQ1: What is the relationship of gun ownership and exposure to gun policy
imaging in predicting attitudes on Virginia state gun laws?
H01: There is no statistically significant relationship between gun ownership and
exposure to gun policy imaging in predicting attitudes on Virginia state gun laws.
HA1: There is a statistically significant relationship between gun ownership and
exposure to gun policy imaging in predicting attitudes on Virginia state gun laws.
• Dependent variable: attitudes on Virginia state gun laws.
• Predictor variables: gun ownership; exposure to gun policy imaging.
RQ2: What is the relationship of gun ownership and exposure to gun policy
imaging in predicting attitudes on 2nd Amendment Sanctuaries?
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H02: There is no statistically significant relationship between gun ownership and
exposure to gun policy imaging in predicting attitudes on 2nd Amendment Sanctuaries.
HA2: There is a statistically significant relationship between gun ownership and
exposure to gun policy imaging in predicting attitudes on 2nd Amendment Sanctuaries.
• Dependent variable: attitudes on 2nd Amendment Sanctuary resolutions.
• Predictor variables: gun ownership; exposure to gun policy imaging.
RQ3: Do attitudes on Virginia state gun laws, exposure to gun policy imaging,
gun ownership, gender, race, and political affiliation predict attitudes on 2nd Amendment
Sanctuaries?
H03: Attitudes on Virginia state gun laws, exposure to gun policy imaging, gun
ownership, gender, race, and political affiliation are not statistically significant predictors
of attitudes on 2nd Amendment Sanctuaries.
HA3: Attitudes on Virginia state gun laws, exposure to gun policy imaging, gun
ownership, gender, race, and political affiliation are statistically significant predictors of
attitudes on 2nd Amendment Sanctuaries.
• Dependent variable: attitudes on 2nd Amendment Sanctuary resolutions.
• Predictor variables: attitudes on Virginia state gun laws, exposure to gun.
policy imaging, gun ownership, gender, race, and political affiliation.
Theoretical Foundation
A theoretical foundation shapes the topic, design, goal, and results of the research
study by integrating and aligning the research with existing literature. It enables the
researcher to place the study relative to other research and findings in the respective field
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of study, adds to the body of knowledge and understanding about phenomenon within
specific contexts, and ensures the continuous and iterative development of knowledge
(Ravitch & Carl, 2016). Jones and Baumgartner’s punctuated equilibrium theory (PET)
was the theoretical base for this study. PET involves policy change related to setting the
agenda and defining the issue within the foundation of periodic stability augmented with
sharp disruptions to the status quo. As the public debates, an agenda on the issue changes,
and the existing policy can either be strengthened, which may create difficulties for
enacting change or challenged providing opportunities for policy change (Jones &
Baumgartner, 2012). Gun violence in Virginia and the lack of political action have led to
increased public outrage and heightened attention on gun control policy. The conflicting
ideas and interest groups resulted in competing coalitions that were attempting to
redefine the issue to bolster their influence. This led to increased attention by the state
government and involvement of the previously apathetic on both sides of the issue. When
one side mobilized the other counterattacked. The result was significant policy changes
or punctuations in the near term before interest and political action subsided, and the
status quo was re-established (True & Utter, 2002). In Chapter 2 of this study, I will
further explain PET.
In this research study, I focused on the attitudes of gun owners and non-gun
owners and policy images that influence conflicting gun policy initiatives between state
and local governments in Virginia. PET provided a theoretical framework for analyzing
the elements such as issue definition, political institutions, and special interests, which
influence the gun policy debate. The current focus on gun control versus gun rights in
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Virginia was the dominant policy topic that disrupted the traditionally stable political
environment. As a critical element of PET, it is essential to examine how exposure to the
portrayed image of a policy affects gun owner and non-gun owner attitudes. PET’s
application coupled with subsequent research provided insights into the punctuated
political environment of gun control policy and potential changes in policy to mitigate
gun violence (Jones & Baumgartner, 2012).
Nature of the Study
I designed this research study as a nonexperimental quantitative correlational
cross-sectional study. The focus was examining Virginian gun owner and non-gun owner
attitudes regarding 2nd Amendment Sanctuary resolutions and state gun laws to
determine whether they reflect gun policy initiatives at the state and local levels and
whether exposure to specific policy images influences those attitudes. To understand this
phenomenon, a cross-sectional correlational research approach helped me examine the
current situation and identify data that enabled the assessment of multiple factors within
the same study. The methodology enabled me to build upon the previously established
concepts of PET and related them to gun control policy action at the state and local
levels. The research questions aligned with using a correlational analysis to examine the
themes and content surrounding Virginia gun owner and non-gun owner attitudes. I
converted objective and statistical analysis of the data into numerical values that I
statistically analyzed to determine the results (Williams, 2007). The nonexperimental
cross-sectional survey necessitated both descriptive statistical analysis to summarize and
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interpret the data and inferential statistical testing to generalize the results gathered from
the sample population.
I collected data using a SurveyMonkey instrument consisting of 7-point Likert
scale questions, dichotomous questions, index questions, and categorical demographics. I
administered the survey to Virginians older than 18 years who had resided in the state for
at least the last 2 years. According to the Census Bureau (n.d.), in 2020, Virginia had an
adult population of more than 6.6 million. Therefore, a minimum of 128 valid responses
was required for this study (Faul et al., 2009). I used the SurveyMonkey Audience
application to solicit participants and ensure adequate response rates. Surveying gun
owners and non-gun owners in Virginia afforded an opportunity to gain insight into their
attitudes on gun control and 2nd Amendment sanctuaries and determine whether policy
images influence attitudes on these themes.
Definitions
2nd Amendment Sanctuary: A local jurisdiction (county, city, or town) that has
adopted a resolution to reject the local enforcement of any firearm law (state or federal)
that they perceive as a violation of the 2nd Amendment individual right to bear arms
(Mascia, 2020).
Gun control: Any policy or law that regulates the possession, sale, transfer,
storage, or use of firearms, ammunition, or accessories such as magazines, bullets, or
bump stocks (Perez-Pena, 2015).
Mass shootings: The death of four or more people within a 24-hour period by the
same perpetrator or group of perpetrators with no cooling off period (Lott, 2018).
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Policy image: The mixture of emotional and empirical material that influences the
understanding and portrayal of policy definitions and implications (Baumgartner &
Jones, 2009).
Punctuated equilibrium: Sporadic incidents when the evolutionary development
of policy traditionally characterized by long periods of little or no change is interrupted
by isolated episodes of intense activity (Baumgartner & Jones, 2009).
Assumptions
In quantitative research, reality is assumed to be objective. The variables selected
must be sufficient to provide a realistic basis for describing the outcome with an
acceptable level of accuracy so that the findings can be generalized to a larger population.
This study’s ontological model accepted that I was searching for the relationship between
the factors being analyzed and the selected phenomenon (Arghode, 2012). In this study, I
used numbers and statistics to analyze gun ownership attitudes and quantify the results to
either prove or disprove the hypotheses. I assumed the following.
• The selection of PET as the theoretical foundation provided an accurate
reflection of the issue being studied. PET was justified because the gun policy debate in
Virginia is characterized by long periods of stability augmented with episodic disruptions
to the status quo coalesced around exposure to policy images.
• The variables selected realistically and accurately described the
phenomenon being studied. The use of gun ownership coupled with gun laws, 2nd
Amendment Sanctuary movements, and policy image categories was justified in that they
accurately and effectively described the relationship being assessed in the study.
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• The survey questions included provided an accurate and consistent
measure of the variables. I modified the questions from existing similar instruments,
tested for readability, and designed the survey to answer the research questions and
ensure validity and understandability.
• The research participants’ responses to the questions were honest and
accurate. The anonymity and voluntary nature of the survey ensured accurate and truthful
answers from the participants.
• The sampling technique and sample size selected for the total population
provided representative data to meet statistical standards and the generalizability of the
findings. I used G*Power analysis and established sampling methods that determined a
minimum of 128 valid responses were needed to ensure representative response totals
were collected.
• The statistical tests used were appropriate. I conducted an analysis to
determine multiple linear regression testing best measured the variable relationships
expressed in the research questions and hypotheses.
These assumptions were critical to the study’s meaningfulness because they
provided a context for what we think is true regarding the research. The data collected on
gun owner and non-gun owner attitudes underwent rigorous analysis, and understanding
the assumptions enhanced critical thinking and mitigated bias when drawing conclusions
about the outcomes of the study (Simon & Goes, 2013).
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Scope and Delimitations
The research study’s scope was adult gun owners and non-gun owners who had
lived in Virginia for at least the last 2 years. I selected the objectives, research questions,
and variables specifically to provide insight into the relationship between gun ownership
and gun control laws and 2nd Amendment Sanctuary resolutions in Virginia. I chose this
population sample because it offered the best perspective on Virginians’ attitudes and the
influence of exposure to policy images regarding state gun control laws and the 2nd
Amendment Sanctuary movement. I excluded non-Virginians from the study due to their
lack of potential knowledge or attitudes on Virginia gun control laws and the 2nd
Amendment Sanctuary movement. I also excluded persons 17 years of age and younger
due to their inability to legally own a gun in Virginia (Simon & Goes, 2013).
I selected PET as the theoretical framework for this study because it focuses on
policy images and episodic policy shifts. Advocacy coalition framework (ACF),
introduced by Sabatier and Jenkins-Smith in the 1980s, was another theory that may have
been appropriate to this research. ACF is often affiliated with analyzing the policy
process because it provides a shared platform for the analysis of multiple actors. ACF
focuses on the beliefs that individuals translate into political action. In ACF, a coalition is
a disparate group with shared beliefs who coordinate activity to achieve some end state.
They then compete to control and influence policy subsystems and those that try to
influence the subsystems. This study could have used the theory of ACF to analyze the
2nd Amendment Sanctuary movement and how actors who advocate specific beliefs
influence policy. However, I elected not to use ACF because its focus is on the behaviors
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of coalition members who attempt to influence policy. Although the 2nd Amendment
Sanctuary movement did attempt to influence policy action, the influence of that specific
movement on policy was not my focus for this study (Jenkins-Smith et al., 2017). In this
research study, I looked at episodic policy shifts. I assessed the relationship of individual
attitudes, specifically gun owner and non-gun owner constituents, and the influence of
policy image on the deviations between state and local initiatives. By using PET, I
incorporated a framework that provided insight into attitudes and policy images that
influence policy development at local and state levels, which aligned with my research
goals of this study. The results of this research may be generalizable beyond Virginia to
states with similar gun control laws or 2nd Amendment Sanctuary movements.
Limitations
Possible limitations to this study were the selected sampling procedure,
representativeness in the sample population, and the survey instrument. In surveys, valid
response rates may be affected by barriers in access to the sample population, length of
the survey, or survey fatigue if the population is inundated with survey requests. I
administered the survey instrument for this research study via the web; therefore, a
specific limitation was the potential for a low response rate. Using the SurveyMonkey
Audience application to solicit participants mitigated constraints and increased valid
response rates by using a pre-established panel that met the specific inclusion criteria.
Additionally, personalizing the request, establishing a completion deadline, and
increasing methods and frequency of contact improved the response rates. Other potential
limitations were ensuring representativeness within the sample population and mitigating
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researcher bias within the sample selection. Some research participants may have had
concerns regarding anonymity, which may have presented a challenge to recruiting
participants and response rates. It was important to clearly articulate the details about the
study as well as stress the maintenance of participant anonymity to the potential sample
population. The survey instrument may also provide limitations to the data collection in
several ways. The self-reported nature of the data may result in underreporting or over
reporting and open the aperture to potential social desirability bias in the responses.
Additionally, the closed and monothematic format of the questions may have limited or
affected the responses or limit the information that I collected (Aggarwal, &
Ranganathan, 2019). I mitigated both potential limitations through the use of a
predetermined survey panel, focused and validated survey questions and a pilot survey.
Significance
The emphasis of this quantitative research was an aspect of gun control not
previously studied, specifically the attitudes of Virginia gun owners and non-gun owners
with regard to competing state and local gun policy initiatives and whether policy image
influences those attitudes. The study’s significance is that it contributes to the current
literature by educating policymakers, advocacy groups, and the public on attitudes
regarding gun control and 2nd Amendment Sanctuary and the influence of policy image
on those attitudes. This study was needed to understand the relationship of the
phenomenon. It increased the level of understanding and has the potential for positive
social change by contributing findings that may provide useful insights into gun control
policy development in Virginia and elsewhere in the United States.
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Summary
The increase of gun violence in the state of Virginia characterized by several high-
profile shootings resulted in a punctuated policy response that upended the decadesold
status quo. The Virginia state government passed several new gun control measures in
2020, and more than 95% of the local counties enacted 2nd Amendment Sanctuary
resolutions to counter those policies. According to several national surveys and research
studies the support for specific gun control measures is on the rise (Barry et al., 2018;
Parker et al., 2017; Reich & Barth, 2017). In this study, I aimed to understand the
dichotomy between state and local initiatives by examining gun owner and non-gun
owner attitudes on gun control and 2nd Amendment Sanctuaries in Virginia.
In Chapter 2, I provide an overview of the literature relevant to this study. It
begins with search strategies followed by a comprehensive analysis of Baumgartner and
Jones’ (1993) theory of punctuated equilibrium. I then review the literature on the
interpretation of the 2nd Amendment, 2nd Amendment Sanctuary movements, and
Virginia gun control laws backed by studies on gun control effectiveness. The chapter
concludes with an analysis of research on gun owner and non-gun owner perspectives of
gun control followed by assessments of factors that affect gun policy images within this
national debate.
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Chapter 2: Literature Review
Introduction
In this chapter, I review the current literature pertinent to my study on Virginians’
perspectives on gun control policy and whether they align with the legislative initiatives
at the state and local levels. The theoretical foundation for this study was based on
Baumgartner and Jones’ PET. In this chapter, I explore the tenets of PET and its
application to gun policy development at the national, state, and local levels. This
literature review includes analysis and synthesis of research studies, peer-reviewed
articles, publicly available surveys, and relevant background material on the issues
surrounding gun control policy and the variables applicable to the research study.
Following the theoretical framework, in the literature review, I provide a perspective on
current doctrine regarding the 2nd Amendment and the 2nd Amendment Sanctuary
movement. Next is a brief history of gun control policy and existing gun laws in Virginia
and an analysis of national survey data and research on the perspectives of gun owners
and non-gun owners regarding gun control policy. The literature review concludes with a
comprehensive assessment of studies on several key factors that influence the competing
perspectives on gun control policy. This combined review of the body of literature
provides insights into the theories and variables surrounding my topic. I synthesized the
data that I collected to provide context regarding the main ideas and themes within my
research and I structured the data to highlight salient ideas prevalent to the research
described throughout (Randolph, 2009). This chapter begins with a description of the
method and search strategy that I used to select the relevant literature for this review.
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Literature Search Strategy
The literature search strategy encompassed a thorough exploration of scholarly
sources and key literature for information critical to providing background and
addressing the research problem, questions, and hypotheses of this study. Significant
research and peer-reviewed material exists on gun control policy explicitly relating to the
2nd Amendment, gun owner and non-gun owner perspectives of gun control, the
effectiveness of methods for reducing gun violence, and PET. My search strategies for
those areas included online title, keyword, and phrase searches in the Walden University
Thoreau database, Sage Publications, and Google Scholar. Search terms included gun
control policy AND United States, gun rights AND state laws, gun control attitudes,
firearm legislation, gun control AND reduce violent crime, Second Amendment AND gun
control, Second Amendment AND sanctuary OR protection OR resolution, gun control
AND state level, gun rights AND state government, gun control policy AND firearm
legislation AND state legislators, General Social Survey on gun control, gun control
effectiveness, and punctuated equilibrium theory. The reference lists in many of the
articles provided additional resources. I located material specific to Virginia gun policy
through internet searches of official government sites and the Virginia Legislative
Information System (VLIS). Peer-reviewed and scholarly articles on the 2nd Amendment
Sanctuary movement were almost nonexistent therefore I gathered most of the
information for this topic through news articles via online Google searches. I explored as
many avenues as possible to ensure comprehensive background material and saturation
on the specific themes for this research study.
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Theoretical Foundation Background
In their 1993 publication Agendas and Instability, Frank Baumgartner and Bryan
Jones introduced PET, which served as the theoretical foundation for this study on
whether Virginians’ perspectives on gun control policy align to the legislative initiatives
of the state and local governments. PET focuses on the mechanisms that result in policy
change and is based on the idea that public policy is developed due to sporadic or
fragmented activity that interrupts the routine stable periods that generally typify the
development of public policy. Baumgartner and Jones characterized stability in public
policy by the inherent rules that constrain change and the emotional and cognitive
confines of the actors involved. Stability is maintained by the existing political
institutions and the unchanging definitions of the issues they promote (Baumgartner &
Jones, 2009).
Baumgartner and Jones’ (2009) concept of PET was formed in contrast to the
traditional public policy process theories that emerged in the mid-1900s, which were
organized around principles of incremental action orchestrated by agenda setting
subsystems operating within the political establishment. In these microcosms, the
participants made incremental policy adjustments based on their expertise,
onedimensional views of the world, and their assessment of public preferences, to
maintain a stable framework for political order (Jones & Baumgartner, 2012). Contrary to
the standard policy model, PET emphasizes information processing of environmental
signals and their effects on the equilibrium of the policy-making process. The punctuation
that upends that equilibrium is characterized by either the strength or accumulation of
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those external signals, which can then overcome the inherent resistance built into the
political system (Baumgartner & Jones, 2009).
PET was influenced by Redford’s (1969) theory on the differentiation of
subsystem and macro politics along with Burnham, Schattschneider, Cobb, and Elder
who introduced approaches focused on mechanisms of change that could disrupt the
status quo. Two examples of those mechanisms are critical elections where political
coalitions are redefined and the introduction of special interest topics that generate new
participation in the process (Jones & Baumgartner, 2012). PET is grounded in Herbert
Simon’s bounded rationality theory as well as attention-based choice theories. Bounded
rationality surmised that one’s capacity to solve complex problems is limited by the
inability to obtain and process all the relevant information to make a rational decision
(Jones, 2003). It purports that people do not “tally up costs and benefits from a potential
decision and then chose the best course of action” (Baumgartner & Jones, 2009, p. xxiii).
Attention-based choice theories advocate that identification, categorization, and filtering
of the stimuli by the individual determines the distribution of attention toward the choices
that affect the decision (Logan, 2004). How the attention is allocated toward an issue and
what mental shortcuts are used to parse out the attention leads to a disproportionate split
between what information is focused on and what is ignored. The foundation of PET rests
soundly on the idea that “decision makers are prisoners to their limited attention spans”
(Jones & Baumgartner, 2012, p. 3). Within the policy-making process, whether during
equilibrium or a punctuated event, the public policy decisions of both government
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institutions and individuals are influenced by their bounded rationality and limited
attention spans on the issues (True et al., 2006).
Throughout the policy-making process, punctuations can occur due to a major
event that cannot be ignored or through the buildup of minor events with time. Issue
definition and agenda setting are related elements critical to any punctuated policy
change. Issue definition is linked to image. To recruit new supporters and participants in
the process, an issue can be redefined to appeal to a broader constituency. When a policy
image is widely accepted generally so is the policy, and change is difficult. When entities
disagree on a policy, the proponents will promote one image of the issue and the
opponents will promote a different image (True et al., 2006). An example of framing the
gun control image is proponents defining it as a public safety issue (i.e., Saving Lives vs.
Taking Rights) and opponents framing it as an infringement on the 2nd Amendment (i.e.,
gun rights vs. gun control). This reimaging opens the aperture on the issue and facilitates
a shift in agenda setting. “So long as the possibility exists of mobilizing the previously
indifferent through the redefinition of issues” (Baumgartner & Jones, 2009, p. 19), the
issue can quickly move to the forefront of the public agenda for policy change.
PET has been applied in numerous research studies to understand the sporadic and
episodic policy changes at the national level with regard to the environment, crime,
drugs, nuclear energy, education, health care, and firearms control policy (True et al.,
2006). As an example, national gun control policy activity is typified by the elements of
PET through the analysis of gun policy images, engaged interest groups, and political
actors. During the past 225 years, federal gun policy can be summed up by five major
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pieces of legislation, in 1934, 1938, 1968, 1986, and 1993. All were enacted due to policy
punctuations where the subsystem incrementalism was overwhelmed by pressure from
outside the establishment. Each of these changes was characterized by the reimaging and
agenda prioritization of the issue followed by a return to the status quo once the policy
was implemented and public attention faded (True & Utter, 2002). PET reshaped the
national gun policy landscape by embracing the punctuated demands for change at the
macro level that the political subsystems could not contain (Jones & Baumgartner, 2012).
Although gun policy is periodically engaged at the national level, within the last
two decades much of the activity on gun policy has migrated to the state-level. In the
early 1900s, there were several initiatives at the state-level to restrict handguns which
were followed by a shift towards loosening regulations which was then followed by a
period of complete inaction (Vizzard, 2015). PET accounts for both “long periods of
stability and domination of important policy areas by privileged groups of elites, and for
rapid change in political outcomes, where apparently entrenched economic interests find
themselves on the losing side of the political battle” (Baumgartner & Jones, 2009, p. 3).
PET at the state and local levels was demonstrated by the Godwin and Schroedel (2000)
study on local gun control policy activity in California in the 1990s. Their study found
that the shift from the national level to the local level coupled with a re-imaging of the
issue by advocates to a public health crisis and increased involvement by gun control
groups resulted in 20 of 26 cities adopting gun control ordinances. My research aligns
with PET because most gun control policy change is accounted for by the punctuations to
the equilibrium of gun policy. There is limited research on the application for PET below
24
the national level of policy development. In this research study I applied PET at the state
and local levels to gun policy in Virginia which exemplified the PET policy foundation of
stabilized activity, characterized by decades of stalemate, punctuated by episodic major
policy change, and followed by a return to the status quo. The interactions between issue
definition, competing images, engagement of interest groups, and political institutions in
the Virginia gun policy debate align with the tenets of PET and provide a solid basis for
addressing the research questions in this study (True & Utter, 2002).
History of the 2nd Amendment
The debate surrounding interpretation of the 2nd Amendment of the U.S.
Constitution, “ a well-regulated Militia, being necessary to the security of a free State, the
right of the people to keep and bear Arms, shall not be infringed” (U.S. Const, amend. II),
has been ongoing since it was first ratified in 1791. There has been long-standing
controversy over whether the 2nd Amendment applies to an individual’s right to own and
carry weapons or whether it applies as a states’ right in order to regulate militias, and
whether it protects individuals from state government infringement on their right to own
and carry weapons (Cooper, 2015).
In pre-revolutionary America, the natural right to own a firearm for personal
defense was universally recognized as evidenced in the 1765 Blackstone’s Commentaries
on the Laws of England (Cooper, 2015). However, there were gun laws to regulate the
control of firearms and munitions in colonial America. For example, as early as 1619 the
Virginia General Assembly made it illegal to sell or give guns to Native Americans. By
the start of the American Revolution there were at least 101 gun laws in the 13 colonies.
25
However, none of them banned firearms or limited their ownership by free citizens
(Spitzer, 2017). When the 2nd Amendment was drafted most states had already
incorporated the right to keep and bear arms into their state constitutions, either as an
individual right or in relation to a requirement to serve in the militia. Specifically, the
language in Section 13 of the Virginia Bill of Rights from 1776, “a well-regulated militia,
composed of the body of the people, trained to arms, is the proper, natural, and safe
defense of a free state, therefore the right of the people to keep and bear arms shall not be
infringed” (Cooper, 2015, p. 346), was the standard used by the members of the
Constitutional Convention when drafting the 2nd Amendment to the U.S. Constitution
(Cooper, 2015).
Before 2008, Supreme Court decisions regarding the 2nd Amendment supported
the interpretation of the right to bear arms as a states’ right vice an individual right.
Therefore only the federal government was legally bound by the 2nd Amendment and
states had the power to regulate firearms in order to maintain the common good. In
United States v. Cruikshank (1876), this states’ rights interpretation was affirmed when
the Supreme Court determined that states were allowed to regulate firearms in whatever
manner they chose in order to maintain the militia. In Presser v. Illinois (1886), the states’
rights to regulate firearms were again affirmed in order to protect the public. The
United States v. Miller (1939), Supreme Court decision in response to a challenge to the
1934 National Firearms Act held that the 2nd Amendment only refers to the federal
government and not state laws (Epstein & Konig, 2019).
26
The individual versus states’ rights debate regarding the 2nd Amendment is
further complicated by incorporation doctrine. Up until the late 1800s precedent held that
protections guaranteed under the Bill of Rights applied only to actions taken by the
federal government and not actions taken by states (Cooper, 2015). With the ratification
of the 14th Amendment in 1868 states were forbidden from denying individuals the right
to life, liberty, or property without due process under the law. By the early 1900s, under
incorporation doctrine, the due process clause of the 14th Amendment applied those
protections to both federal and state actions. Subsequently, the Supreme Court on a
caseby-case basis used selective incorporation to apply the 14th Amendment protections
to most of the Bill of Rights. It therefore protected those individual rights from both
federal and state government actions (Vernick et al., 2011).
Supreme Court interpretation of the 2nd Amendment changed with the decision in
the District of Columbia v. Heller (2008). The doctrine was reframed as an individual
right for the primary purpose of self-defense vice a states’ right connected to a
wellregulated militia (Imoukhuede, 2017). The individual right to possess or use a
firearm was further upheld in McDonald v. City of Chicago (2010) when the Supreme
Court decided that the 2nd Amendment protections applied to both the federal and state
governments because of the 14th Amendment due process clause (Cooper, 2015). While
these rulings dictate that “neither Congress nor state governments have the constitutional
authority to disarm law-abiding citizens by regulating the right to keep and bear arms to a
point that endangers the right to self-defense with a firearm” (Cooper, 2015, p. 366), both
institutions do still have the authority to regulate firearms in the interest of public safety.
27
The Supreme Court decision did stipulate that the 2nd Amendment protections did not
cover all types of firearms i.e., rocket launchers or machine guns. Additionally, it allows
the prohibition of gun ownership by categories such as felons or the mentally ill. It also
allows gun regulation in certain public or sensitive locations such as government
buildings and schools (Imoukhuede, 2017). While the 2nd Amendment was historically
deemed a states’ rights issue, with the majority of firearm legislation being implemented
at the state-level, the transition to an individual right’s interpretation by the Supreme
Court in 2008 makes firearm legislation at the state and local levels even more
provocative (Sabbath et al., 2020).
2nd Amendment Sanctuary Movements
The 2nd Amendment sanctuary movement is a relatively recent phenomenon that
has swept through the United States in the past decade. The movement advocates gun
rights through resolutions established to oppose any gun legislation that the local
jurisdiction deems as an unconstitutional infringement on an individual’s right to bear
arms. The idea, which was mirrored off of the immigration sanctuary cities concept, was
born in Effingham County, Illinois as a gun rights response to state gun control proposals
and has gained momentum across the country (Mascia, 2020). By the end of 2019, more
than 20 states had counties with 2nd Amendment sanctuary resolutions, to include 70 of
102 counties in Illinois, 38 of 64 counties in Colorado, 30 of 33 counties in New Mexico,
and 10 of 16 counties in Nevada (Fields, 2020). In late 2019 Virginia became the
epicenter of the movement, as local county supervisor meetings were held with standing
28
room only crowds. Between November of 2019 and February of 2020, 91 of 95 counties,
16 of 38 independent cities, and 40 towns (see Figure 1) in Virginia had passed 2nd
Amendment sanctuary resolutions (Gunter, 2020).
Figure 1
Map of Virginia Sanctuary Status, 2020
Note. Data on map as of March 20, 2020 adapted from http://vcdl.org.
The advent of the 2nd Amendment sanctuary movement can be traced to several
factors. First was the trend of deregulation of gun control at the state-level which began
in the 1980s and favored gun rights advocates while disfavoring gun control proponents
(Fields, 2020). Specifically, from 2009 to 2013 over 546 gun laws were enacted
nationwide and over 50% of them loosened restrictions on firearms access. Additionally,
during that timeframe, “52 percent of all gun deregulation measures introduced by state
legislatures were enacted into law, versus 36 percent of gun control measures” (Reich &
29
Barth, 2017, p. 489). Virginia led the way on the liberalization of gun regulations
approving 24 laws. In this timeframe, 47 states approved at least one gun measure
reducing constraints on gun control (Reich & Barth, 2017). Nine states even went as far
as to enact some form of statewide sanctuary legislation aimed at the federal government.
In 2010 Alaska passed the Alaska Firearm Freedom Act (AFFA) which sought to “nullify
the federal government’s ability to regulate personal firearms, firearms accessories, and
ammunition that are manufactured entirely in Alaska” (Hill, 2016, p. 126). In 2013 the
Kansas legislature “declared that federal laws violating the Second Amendment are null,
void, and unenforceable in the state” (Rostron, 2016, p. 353). The second factor leading
to increased activity regarding 2nd Amendment Sanctuaries was the recent increase in
state enactment of extreme risk protection order (ERPO) laws which allow the court
ordered removal of weapons from persons deemed a risk to themselves or others. These
laws are perceived as a violation of individual rights to own a firearm and due process by
gun rights advocates. A third was the wave of Democrats elected to many state
assemblies in 2018 and their promise to pass strict gun control measures in the wake of
high profile mass shootings. The fourth was the on-going struggle between localism and
state authority (Fields, 2020).
Most 2nd Amendment sanctuary resolutions range from passive symbolic gestures
of discontent or noncooperation to more active resistance such as taxpayer funded legal
action, deputizing the public, or calling on the “militia’ to ensure citizens can own
weapons. The sanctuaries are an attempt to resist the enforcement of laws enacted by
30
higher levels of government. While both state and local governments cannot be
compelled to enforce federal law under the 10th Amendment and upheld in Printz v.
United States (1997), local governments do not have those same protections from
enforcing state law (Fields, 2020). The rule of preemption allows state governments to
prohibit local governments from enacting any law that is contrary to state law.
Traditionally, preemption was a means of maintaining uniformity of the law throughout
the state, protecting against jurisdictional or territorial conflicts, and limiting the issues
requiring action by local governments (Pough, 2018). However, with the increased divide
between local and state institutions preemption has become a political tool wielded by
both sides of the political aisle. Some states have approved civil and criminal penalties
aimed at local officials who legislate policy in conflict with state preemptive statutes.
Localities have responded by challenging the states in court. Forty-four states including
Virginia have preemption laws that do not allow local jurisdictions to enact any firearm
regulation (Davidson, 2019). Specifically, Virginia follows “Dillion’s Rule”, “which
provides no autonomy for local governments and treats them as entirely subservient
subdivisions of the government” (Fields, 2020, p. 26). It is important to note that 2nd
Amendment sanctuary resolutions are not binding laws or regulations but are instead
attempts to influence policy by refusing to use local resources to enforce state laws. As of
November 2020 the legality and enforceability of 2nd Amendment sanctuary resolutions
was still up for debate as no judicial test has been ruled on by the courts (Fields, 2020).
History and Effectiveness of Gun Legislation in Virginia
31
Legislation governing firearms in Virginia dates back to the first Virginia General
Assembly in 1619. Since then Virginia has had firearms legislation covering numerous
broad categories such as concealed carry, carry and use in sensitive areas, requirements
for registration, prohibition of dangerous or unusual weapons, and prohibited use by
select persons (Frassetto, 2013). The current Virginia State Code, Title 18.2, Chapter 7
Crimes Involving Health and Safety has five sub-sections covering over 70 laws
regarding firearms (Virginia Legislative Information System [VLIS], n.d.). Some of the
historic gun laws in Virginia were predecessors to the types of laws passed by the
Virginia General Assembly in 2020. While all legislation must be assessed based on the
context of the time period in which it was enacted, it is clear the gun control legislation
controversy in Virginia pre-dates the current debate over 2nd Amendment rights.
Following the mass shootings at Virginia Tech on April 16, 2007 which killed 32
people, Governor Kaine established a panel to study the event and make
recommendations to prevent any future incidents. Overall the panel made 91
recommendations covering mostly mental health reform and campus security. Although
the panel cited several loopholes in Virginia gun laws very little was done about gun
control, specifically recommended with no action taken was the issue of universal
background checks (Friedenberger, 2019). Twelve years later, following the Virginia
Beach mass shooting on May 31, 2019 which killed 12 people, Governor Northam
convened a special session of the General Assembly to address eight gun control
measures. The special session ended after two hours without any votes and postponed
discussion on gun control until after the November 2019 elections. Instead a panel was
32
convened to prepare a report on 78 prospective firearm measures for review by the State
Crime Commission (Berti, 2019). In April 2020 Governor Northam signed seven new
gun control laws, more in one session than Virginia had passed collectively in over two
decades. The actions foreshadowed by the Virginia General Assembly and Governor
Northam were the catalyst for the 2nd Amendment Sanctuary movement in Virginia that
was launched statewide between November 2019 and February 2020 (Miller, 2020).
Gun control research demonstrating the effectiveness of specific gun policies is
extensive and varied. Data accuracy, reliability and transparency are critical to ensuring
research findings are valid. A systemic issue pervasive throughout gun control research is
the variation and inconsistency in definitions, methodologies, data, and testing that drives
the divergent results regarding effectiveness (Lang, 2016; Makarios & Pratt, 2012; Martin
& Legault, 2005; Rostron, 2008). To evaluate effectiveness, often a subjective or arbitrary
score is assigned to rate gun control policies such as the Brady Campaign or the Giffords
Law Center to Prevent Gun Violence scorecards (Kposowa et al., 2016). Additionally,
many research studies use a proxy for gun ownership such as national gun sales,
background checks, surveys, state level estimates, and percentages of suicides,
homicides, or robberies involving guns. The use of these inaccurate measures can skew
the relationship between crime and gun ownership (Lang, 2016). A 2018 analysis of gun
control policy research reviewed thousands of studies published since 2003 and found
only 62 met the standardized criteria for inclusion based on the methods used to
determine causal effects, evidence and rigor (RAND, 2018).
33
The following is an analysis of the historical context and literature on gun policy
effectiveness of Virginia gun laws relevant to this study, which include 1) universal
background checks, 2) protective orders, 3) carrying firearms in sensitive areas, 4) a
onegun-a-month purchase limit, 5) reckless endangerment of a minor, 6) notification of
lost or stolen weapons, 7) extreme risk protection orders, 8) assault weapons and
magazine bans, and 9) concealed carry.
Prior to July 2020, in compliance with the Brady Law of 1994, Virginia law only
required background checks on purchases from licensed dealers and not secondary
markets such as gun shows or private sales (Rostron, 2008). Senate Bill 70 now requires
mandatory background checks for the sale or transfer of all firearms in Virginia (VLIS,
n.d). Policy on background checks has been extensively researched. Sen and
Panjamapirom (2012) found that having more background checks is associated with
fewer suicides and homicides. A 2016 study on firearm mortality and legislation also
found that universal background checks were related to the potential reduction of firearm
fatalities (Kalesan et al., 2016). Sabbath et al. (2020) determined an association between
reduced homicides in the workplace and strengthened state laws regarding background
checks. Conversely, Vernick et al. (2017) and Crifasi et al. (2018) determined that there
was no benefit to having comprehensive background checks unless the state law also
required a permit to purchase weapons. As of 2020, Virginia does not require a permit or
license to purchase or own a weapon (VLIS, n.d). Lang (2016) found no “significant
relationship between homicide and background check rates…[and] all violent crimes
with the exception of rape are insignificantly related to background checks” (Lang, 2016,
34
p. 64). A comprehensive review on gun control studies to determine the effectiveness of
the policy outcomes by RAND (2018) found that universal background checks were
inconclusive at reducing mass shootings and suicide, however they had moderate success
at reducing violent crime.
The inconsistency of data compiled in the National Instant Criminal Background
Check Systems (NICS) is another factor affecting universal background checks. Data for
NICS is pulled from several databases. There is no universal standard for the type of data
required to be reported to NICS by each law enforcement jurisdiction, which leads to
gaps in quality and timeliness (Crifasi et al., 2019). Additionally, NICS “relies on states
to voluntarily report the names of individuals who fall into one of the prohibited
categories… [as] Congress cannot compel states to contribute to a federal regulatory
system” (Record & Gostin, 2014, p. 562). A Kessler (2007) study found that millions of
records that would generally disqualify an individual from purchasing a weapon were not
included within the NICS system, which led to the NICS Improvement Amendments Act
(NIAA) of 2008. The act is aimed at refining the records provisioning and maintenance
and requires states to estimate the availability for inclusion in NICS of seven categories
of records that would prohibit an individual from purchasing firearms (Krouse, 2019).
Newly enacted Virginia Senate Bill 479 prohibits persons subject to a protective
order from possessing a firearm. These types of gun laws are aimed at reducing familial
and intimate partner gun violence. Between 2004 and 2013 Virginia had an intimate
partner gun homicide rate for women 21% greater than the national average (Parsons et
al., 2015). A RAND (2018) analysis of gun policy studies found that while protective
35
order laws had inconclusive results in lowering suicides they did show moderate success
at reducing violent crime. Evidence also supports that prohibited persons most often
acquire weapons from acquaintances or the secondary market so other laws in
conjunction with protective orders, such as universal background checks may be required
to determine their overall effectiveness at reducing gun violence (Vizzard, 2015).
Virginia Senate Bill 35 authorizes local ordinances to prohibit the possession or
carrying of firearms in government buildings, public parks, recreation or community
centers, or public streets and sidewalks open to the public or requiring a permit (VLIS,
n.d.). Dating back to 1794 Virginia had a law prohibiting the armed presence of
individuals at fairs, markets or in the presence of justices (Frassetto, 2013). Federal law
already bars firearms in some sensitive areas or gun-free zones, such as schools, post
offices, and federal buildings (Wolfson et al., 2017). A 2017 study on public opinion
drawn from the GfK Knowledge Panel (n=3949) found that both gun owners and nongun
owners supported some restrictions on areas where guns could be legally carried to
include college campuses, places of worship, sports stadiums and bars (Wolfson et al.,
2017). The RAND (2018) analysis found no applicable research to determine the
effectiveness of these types of prohibitions on gun violence.
Virginia Senate Bill 69 prohibits anyone who is not a licensed handgun dealer
from purchasing more than one handgun in a 30-day period (VLIS, n.d.). In 1993
Virginia enacted a law to limit the number of guns an individual could purchase within a
month called the One-Gun-A-Month law, which was repealed in 2012. At the time the
law was introduced Virginia was ranked 1st as the largest source for crime guns used in
36
the northeast corridor of the United States and the law was put in place to stop the
trafficking of guns from Virginia to areas to the north with stricter gun laws (Evans,
2019). A study by Weil and Knox (1996) found that this law was effective at reducing the
interstate trafficking of crime guns out of Virginia, however a subsequent study by Webster
et al. (2009) contradicted these earlier results and found no effect of the One-
Gun-A-Month law on reducing the interstate trafficking of firearms out of Virginia.
Kalesan et al. (2016) found no association between limiting the number of guns
purchased and reducing gun violence. Senate Bill 69 restored the One-Gun-A-Month law
in Virginia in April 2020.
Child access protection (CAP) laws are aimed at limiting children’s access to guns
by allowing the prosecution of adults who negligently or carelessly allow unsupervised
access to guns (RAND, 2018). Prior to 2020, Virginia had a CAP law which was
modified through House Bill 1083 which states that any person who recklessly leaves a
loaded or unsecured firearm in a manner that endangers the life or limb of a person under
the age of 14 is guilty of a class 1 misdemeanor. This bill was controversial and went
through several iterations where the age was debated between 21, 18, or 14. Ultimately
the law was amended to keep the age at 14 but increase the penalty from a Class 3
misdemeanor to a Class 1 misdemeanor, which could mean up to 12 months in jail
(VLIS, n.d.). There is limited peer-reviewed research on CAP laws. A Webster and
Starnes (2000) comprehensive analysis of CAP laws in 15 states found that only one state
showed a significant decrease in the rate of unintentional gun-related deaths among
children; the remaining 14 states showed no effect. A subsequent study by Lott and
37
Whitley (2001) concluded no reduction in accidental gun deaths or suicides due to CAP
laws. The Kalesan et al. (2016) study found that CAP laws had no significant association
with reducing homicides or suicides while the RAND (2018) analysis of the literature
found limited evidence to support decreases in suicides or unintentional injury or death
due to CAP laws.
Virginia House Bill 9 requires a person to notify police within 48 hours of
discovering the loss or theft of a firearm. Failure to notify results in a $250 fine; however
if the notification is made then any civil or criminal liability is waived if the gun is used
in a future crime (VLIS, n.d.). The intent of this law is to limit the availability of guns on
the illegal market and to better account for and trace guns used in violent crimes. There is
limited research on this element of gun control. A study by Kalesan et al. (2016) did find
an association between mandatory theft reporting and reduced homicides or suicides but
the RAND (2018) analysis did not find any studies that corroborated those findings.
One of the most controversial new laws was Senate Bill 240 which allows any
attorney for the Commonwealth or a police officer to apply to a court for a 14 day
emergency substantial risk order to prohibit a person who poses a risk from purchasing,
possessing or transporting a firearm (VLIS, n.d.). By 2020 extreme risk protection orders
(ERPO) or red flag laws had been passed in at least 17 states and the District of Columbia
(Kohrman & Stephens, 2020) “authorizing pre-emptive, risk-based, time-limited gun
removal orders” (Bonnie & Swanson, 2018), for persons deemed a danger to themselves
or others. ERPO laws are designed to reduce suicides which account for almost twothirds
of gun deaths, protect against domestic and intimate partner homicide, and stop violent
38
offenders such as mass shooters and terrorists by interceding before they can take action
(Bonnie & Swanson, 2018). Opponents argue that red flag laws are a violation of an
individual’s 2nd Amendment and the right to due process (Kohrman & Stephens, 2020).
ERPO laws are touted as an evidence-based policy grounded on the premise that denying
access to firearms reduces firearm violence (Vernick et al., 2017), however relatively
limited statistical research exists on ERPOs and the RAND (2018) study found
inconclusive results. Empirical evidence from two other studies suggests that suicide
rates have declined by as much as 7.5% in Indiana and in Connecticut ERPO laws
averted one suicide for every 10-20 gun removals (Bonnie & Swanson, 2018).
In addition to the seven laws from 2020, two other gun control measures are
publicly contested in Virginia. First is a ban on assault weapons and high capacity
magazines and second is concealed carry permits. The 2020 Virginia General Assembly
considered an assault weapons ban, however it did not make it out of the Senate Judiciary
Committee. House Bill 961 would have made the sale or transfer of assault weapons,
silencers, and magazines holding greater than 12 rounds illegal. Governor Northam has
stated he will re-introduce the bill during the 2021 session (Booker, 2020).
In 1994 the federal government enacted an assault weapons ban which expired in
2004. The term “assault weapon” is a misnomer as assault weapons do not technically
exist. An assault rifle is a military style shoulder fired weapon that can switch between
semi-automatic mode (requires one trigger pull for each shot) and automatic mode (one
trigger pull fires multiple bullets continuously). In most gun policy and gun violence
research the terms assault weapon or assault rifle are used interchangeably to refer to a
39
semi-automatic rifle that looks similar to a military style rifle. An example would be an
AR-15, which actually stands for Armalite Rifle not automatic rifle and requires one
trigger pull for each bullet fired. A significant difference between automatic and
semiautomatic weapons is how they are regulated by the government. While it is
relatively easy to acquire a semi-automatic handgun or rifle, all automatic weapons are
heavily regulated by the 1934 National Firearms Act (Lord, 2019). According to Kleck
(2012), “assault weapons” account for less than 1.2% of the firearms used in homicides.
According to Federal Bureau of Investigation statistics most gun violence incidents do
not involve firing more than three rounds. A 2001 preliminary analysis of the federal
assault weapons ban found the ban had “no effect on gun violence” (Koper & Roth, 2001,
p. 67). This finding was substantiated in a study of state-level assault weapons bans by
Kalesan et al. (2016) who found no decrease in homicide mortality due to assault
weapons bans and no association between high capacity magazine bans and reducing
firearm mortality rates. However, when assessing only the effect on public mass
shootings, which account for less than 4% of gun violence deaths each year (Cukier &
Eagan, 2018), a de Jager et al. (2018) study found that from 2000 to 2017, 24.6% of
active shooter incidents (n=248) involved a semi-automatic rifle and that when a
semiautomatic rifle is involved more people were killed or injured. RAND (2018) found
inconclusive evidence to determine whether a ban of specific assault weapons and
magazine types had any effect on overall gun deaths or mass shootings. Research
suggests that an assault weapon and high capacity magazine ban will affect the number of
40
casualties, specifically in mass shootings; however the evidence does not show that a ban
would have an effect on overall gun violence and mortality rates in the United States.
Concealed carry permits is another gun policy issue contested in Virginia. In 1838
the state passed its first conceal carry prohibition. The law was amended after 1868 so
that anyone deemed of good character could carry a concealed weapon with an approved
application (Frassetto, 2013). Currently Virginia is a “Shall Issue” state which means that
a license is required, however as long as specific criteria are met the state must issue a
concealed carry permit without any discretion to deny it. As of June 2020 there are
approximately 640,000 concealed carry permits issued in Virginia. Virginia does not
require guns to be registered with the state or local law enforcement, it is legal to openly
carry a gun without any permit as long as applicable laws are adhered to, and you can
defend yourself with no duty to retreat as long as you are not the initial aggressor (U.S.
Concealed Carry Association, n.d.). There are mixed results in the literature on the
relationship between shall issue concealed carry laws and gun homicides with most
research showing no clear effect (RAND, 2018). In a 2017 study researchers evaluated
data from 25 years (1991-2015) comparing concealed carry shall issue laws and handgun
homicide rates and found a significant relationship with 8.6% higher firearm homicide
rates and 10.6% higher handgun homicide rates in shall issue states (Seigel et al., 2017).
In contrast, a Hamill et al. (2018) study of 30 years of data (1986-2015) did not find a
statistically significant association between homicide rates and liberalized concealed
carry policies. A 2019 study of concealed carry permits among young adults aged 18-20
found no increase in murder, robbery, or assault rates by allowing concealed carry (Kleck,
41
2019). The RAND (2018) analysis of studies on shall issue law effects concluded that
there is inconclusive evidence on their effect on gun homicides, robberies or assaults.
However, the RAND (2018) study did find minimal evidence that shall issue concealed
carry laws result in an increase in overall violent crime and unintentional firearm injury.
Gun Owner and Non-Gun Owner Perspectives on Gun Control
Individual perspectives of gun control are often associated with varying
characteristics and demographics, such as political affiliation, individualism versus
collectivism, race, gender, rural vice urban identity, religious affiliation, or culture
(Blanco, 2016). The purpose of this quantitative research study was to examine Virginia
gun owner and non-gun owner attitudes on gun policy, and enhance the understanding of
the conflict between divergent views that influence gun policy initiatives at the state and
local levels. Recent comprehensive analysis comparing perspectives of gun owners to
non-gun owners on a national level has been accomplished through a 2017 Pew Research
Center study and a 2018 national survey through the non-partisan and objective research
organization (NORC) at the University of Chicago.
American society has a long and complex association with guns. According to the
2017 Pew survey, over 30% of Americans own guns and 66% of those gun owners own
more than one firearm. An additional 11% of Americans live with someone who owns a
gun. Over half (52%) of Americans think that gun laws should be more strict, however
64% think that most people should be able to legally own a firearm. Interestingly, in
2017, 51% of Americans thought it was more important to control gun ownership than to
protect the right to own a gun which is the inverse of 2016 when 52% said it was more
42
important to protect gun rights than control gun ownership. As to why they own guns,
67% of gun owners say it is for their own protection. Hunting, sport shooting, and gun
collecting are other major factors contributing to gun ownership in the United States
(Parker et al., 2017).
The 2017 Pew survey assessed several gun control policy perspectives between
gun owners and non-gun owners (see Table 1). There is relatively close agreement
between gun owners and non-gun owners on prohibiting the mentally ill and individuals
on no-fly lists from purchasing guns, and on employing universal background checks for
all gun purchases. Yet there is a large variance on creating a federal database to track gun
sales and banning assault weapons and high capacity magazines (Parker et al., 2017).
Table 1
Pew Survey Results, 2017
Gun Policy
Gun Owners
Support
Non-Gun Owners
Support
Preventing mentally ill from purchasing guns
89%
89%
Barring gun purchases by people on no-fly or
watch lists
82%
84%
Background checks for private sales and at gun
shows (universal background checks)
77%
87%
Creating a federal database to track gun sales
54%
80%
Banning assault-style weapons
48%
77%
Banning high-capacity magazines
44%
74%
In addition to the Pew survey, a 2018 study by Barry et al. used the NORC online
panel to compare gun owner and non-gun owner opinions on 24 firearm policies. The
sample population (n=2124) was gathered from a probability based representative pool
43
covering 95% of American households. There was a 75% completion rate from the
sample population. Of the 24 policies assessed eight had a disparity of support greater
than 10 percentage points between the two groups. There were 10 policies assessed in the
Barry et al. study which correlate to the scope of my research study (see Table 2).
Table 2
NORC Survey Results, 2018
Gun Policy
Gun Owners
Supporta
Non-Gun Owners
Supporta
Requiring a background check system for all gun
sales (universal background checks)
85%
90%
A person who can legally carry a concealed gun
should be required to pass a test
83%
85%
Requiring states to report a person to the
background check system who is prohibited
from a buying a gun due to involuntary
commitment or declared mentally
incompetent
84%
84%
Prohibiting a person subject to a temporary
domestic violence restraining order from
having a gun
77%
83%
Allowing family members to ask the court to
temporarily remove guns if a relative is at
risk of harming himself or other (red flag
law)
73%
80%
Allowing law enforcement to temporarily
remove guns from individuals who pose
an immediate threat to themselves or others
(red flag law)
69%
78%
Requiring by law that a person lock up guns in
their home to prevent handling by children
58%
79%
Banning the sale of military style semi
automatic assault weapons
44%
68%
44
Banning the sale of large capacity ammunition
clips or magazines holding more than ten
rounds
41%
67%
Allowing legal concealed carry on school grounds
(K-12)
43%
19%
a Percentages are approximate based on data provided in the Barry et al. (2018) study.
Of the relevant policies, universal background checks (87.8%), requiring a person to pass
a test in order to carry a concealed weapon (84.7%), reporting individuals disqualified
from owning a gun due to mental health background checks (83.6%), and ERPO or red
flag laws (78.9%) garnered the most support overall from both gun owners and non-gun
owners (Barry et al., 2018).
Factors Affecting Imaging of Gun Policy
Media Coverage and Interest Groups
Within the gun policy debate divergent definitions and imaging are shaped by the
media and advocacy groups who often use evidence, scientific studies, public opinion
polls, regulations, laws, celebrity endorsements, or lobbying efforts to advocate for their
policy agenda (Smith-Walter et al., 2016). The competing narratives portrayed in the
media and by advocacy messaging can influence the outcome of public policy
discussions by shifting engagement and support among key constituencies not normally
engaged in the issue. “Policy makers and interest groups frame issues in ways that they
believe will shape policy debates in their favor and work to garner news coverage that
uses those frames” (McGinty et al., 2016, p. 9).
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Both the content and volume of news coverage on gun policy is often a result of
punctuated incidents such as mass shootings or assassinations. After the Columbine
School shooting in 1999, 42% of the media stories defined the problem of school
shootings as “too many guns or too few gun controls” (Kleck, 2009, p. 1448). Within six
months of the Sandy Hook Elementary School shooting in 2012, the intense media
coverage coupled with public opinion polls, led to an influx of over 1500 legislative
proposals on gun control at both the federal and state levels (McGinty et al., 2016).
In 2016 a study assessed policy imaging in the media on gun control by
examining the volume of coverage, frequency, and level of advocacy on both sides of the
issue of universal background checks right after Sandy Hook. The results demonstrated
that immediately following a high profile incident the volume of coverage peaked within
four months and then dropped off precipitously coinciding with the defeat or
implementation of legislation. By a margin of 23%, news coverage was more likely to
favor pro-gun control messages than anti-gun control messages and only 32% of news
reports presented both the supporting and opposing message. Counter-arguments by
advocacy groups were used often with 43% of the message framing on universal
background checks cited as a means of keeping guns away from dangerous people while
24% cited universal background checks as ineffective (McGinty et al., 2016).
Media coverage of high profile events often affects public opinion, and gun policy
is no different. Seate et al. (2012) assessed the effects of media coverage on attitudes
regarding gun policy following the 2007 Virginia Tech mass shooting which killed 32
people and wounded 15. The results showed that for non-gun owners’ media exposure to
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news regarding gun violence did influence their opinions on gun control while for gun
owners it did not. This is consistent with other research that showed that media messages
are not accepted if they are seen as a threat to an individual’s social identity.
In assessing how advocacy groups use narrative strategies and certain types of
evidence regarding gun policy, Smith-Walter et al. (2016) compared the policy stance of
the Brady Campaign to Prevent Gun Violence and the National Rifle Association (NRA).
The results demonstrated that Brady Campaign narratives target emotional and
intellectual responses by combining their interpretation of statistical and legal truths with
evocative portrayals of victims and heroes. The strategy of this approach is “designed to
draw in more participants and expand the scope of conflict” (Smith-Walter et al., 2016, p.
1073). Conversely the NRA narrative focuses on the groups arrayed against them who
threaten intrinsic values such as liberty and freedom. The strategy of the NRA is to define
the problem as us vs. them where an elitist enemy is determined to take away the rights of
the average American citizen. This type of framing relies on emphasizing “the power of
an opponent while understating the power of the narrating group or coalition”
(SmithWalter et al., 2016, p. 1073). The interpretation of evidence by coalitions is critical
to how the narrative on gun policy is received and promulgated.
Mass Shootings
There is no universally accepted definition of a mass shooting. Therefore the
results of research studies can vary drastically, which can affect the messaging and image
of this highly volatile topic. Prior to 2013 the FBI historically defined a mass murderer as
someone who kills four or more individuals in a single incident however in 2013 the
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definition was changed to three or more. Most academic researchers continue to use the
death of four or more people within a 24 hour period with no cooling off period as their
definition of a mass shooting (Lott, 2018).
Statistics show that mass shootings account for less than 4% of the more than
35,000 gun deaths in the United States each year, however due to the lethality of these
types of attacks they are often the epicenter for renewed gun control debate (Cukier &
Eagan, 2018). According to Lott (2018) the United States is not unique when it comes to
mass shootings. Between 1998 and 2015 the United States accounted for 2.2% of the
world’s mass public shootings and 1.5% of the worldwide mass shooting casualties. In a
per capita ranking the United States ranks 64th out of 97 countries in the number of mass
shooting attacks. Additionally, the growth rate in the number of mass shootings is not as
high as the rest of the world; however there has been an increase in the annual number of
mass shootings in the United States over the last five years. Analysis of data from the
Global Terrorism Database strongly supports Lott’s findings. Of the 58,445 mass
shootings worldwide since 1970 only 402 were instigated in the United States. In contrast
a study by Lankford (2016), which consisted of a data set derived from 292 cases of mass
shootings worldwide between 1966 and 2012, found that the United States accounted for
31% of the world’s mass shootings.
Mass shootings typically garner a high level of media attention which leads to
increased gun policy debate. In the 12 months after Columbine more than 800 pieces of
firearm legislation were introduced, however only about 10% ever became law
(Schildkraut & Hernandez, 2014). Research from 2012 showed a divide among gun
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owners and non-gun owners on the causes of mass shootings. Republicans typically
blame the individual shooter while Democrats blame weak gun laws and poor mental
healthcare. A follow-up study in 2017 found that both gun owners and non-gun owners
attributed the most blame to the shooter however, gun owners next blamed parents, then
pop culture, then gun laws, while non-gun owners blamed gun laws followed by parents
and then pop culture (Joslyn & Haider-Markel, 2012). A study by Lemieux (2014) found
that gun availability did have an effect on mass shootings from which the author surmised
that increased gun control would reduce access and therefore reduce mass shootings.
However, a RAND (2018) comprehensive review on gun control studies to determine the
effectiveness of the policy outcomes found there is inconsistent evidence from the studies
they reviewed that any gun control measure reduces mass shootings. The contradictory
findings highlight that the discrepancy in the definitions and data sets in mass shooting
research affects the results and affects perceptions and messaging within the gun control
debate.
Suicide and Mental Health
Another category integral to the policy image on gun control is the relationship of
suicides and mental health to the overall gun violence problem. Over 60% of all gun
deaths each year in the United States are from suicides and over 50% of all suicides
involve a firearm (Alban et al., 2018). Re-framing the gun violence problem as a public
health crisis to address suicides and mental health deficiencies has had a significant effect
on increasing the involvement of the medical community in the gun policy debate and led
to an increase in gun violence research motivated by that lens.
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Kposowa et al. (2016) examined the effect of gun ownership, firearm storage, and
state level firearm laws on suicide rates. The results showed that gun ownership slightly
increases the gun suicide rate, maintaining unloaded firearms in the home increases the
rate by 50% and keeping them unsecured by as much as 75%, and there is a small
relationship between strict gun regulations and decreased suicide rates. These findings
were supported by a 2018 study which used the Brady Scorecard rankings for state
firearm regulations and compared them to the National Inpatient Sample (NIS) of
hospital admissions for firearm related suicide injuries. The study found that over a 14
year period, firearm suicide attempts occurred significantly more frequently in states with
less restrictive gun laws (Alban et al., 2018). Another study examined four specific gun
regulations and their effect on suicide rates between 2013 and 2014. The outcomes
exemplified mixed results. Although there were significant differences in suicide rates
between states with universal background checks and mandatory waiting periods and
states without those restrictions, they found no significant differences in suicide rates for
gun locks or open carry restrictions between states that had those types of laws and those
that did not (Anestis et al., 2017).
The mental health component of gun violence is amplified by mass shootings,
however only 3% - 5% of all violence can be attributed to an individual who has a serious
mental illness (Miller, 2017). Federal law does not mandate that all mental health records
be included in the NICS background check system, and does not address reporting of
those who have never been deemed mentally unfit, never received outpatient treatment,
or never been committed to a mental health institution (Schildkraut & Hernandez, 2014).
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At the time of the 2007 Virginia Tech shooting, Virginia state law only required
information on admissions or detention in a mental health facility be included and not
medical records. As a consequence, although the perpetrator Seung Hui Cho had been
temporarily detained and ordered to receive outpatient mental health treatment, it was not
reported and he was able to pass the required checks and purchase a gun. Also at that
time the one-gun-a-month law was in effect in Virginia so Cho waited 30 days and
purchased the second gun he used to ultimately kill 32 people. Subsequently Virginia
enacted an executive order to increase reporting requirements regarding mental health
disabilities (Davies, 2007).
Culture, Religion, and Political Identity
There are numerous variables that have been associated with attitudes on gun
control. All of which are used to frame the image on gun policy. The General Social
Survey (GSS), a representative stratified multi-stage probability sample of American
households used for numerous gun control studies, includes many of these applicable
control variables such as political views, religion, gender, race, age, and urbanization.
There are also several gun-related variables within the GSS that measure gun ownership
and attitudes. GSS data from 1984-1998 consisting of a stratified probability sample
(n=7174) was used to demonstrate that gun ownership is related to cultural values.
Specifically, possessing individualistic cultural traditions is a strong predictor of attitudes
against requiring gun permits (Celinska, 2007). Yamane (2016) also used GSS data from
51
2006-2014 to study the influence of religious affiliation and religiosity on gun ownership.
The results showed that sects of Protestantism are more likely to own a gun than other
religions, with Evangelicals being the most likely. These findings were enhanced by a
Merino (2018) study using a random sample survey from the Public Religion Research
Institute (n=1006). The results demonstrated that Evangelical Protestants are more likely
to oppose stricter gun control laws than other religions. A later study conducted by Miller
(2019) assessed 26 waves of the data from the GSS from 1972 to 2016 and found that
neither increased political partisanship nor the urban/rural divide caused a significant
reduction in support for gun control. The results demonstrated that most Republicans
support some measure of gun control and that the polarization on gun control policy is
not at the level of the general population but instead resides within the political elite. The
Miller (2019) study provides an underpinning for evaluating the effect of policy image
from the perspective of political affiliation and the difference between constituent
attitudes regarding local and state level policy initiatives.
While GSS data is useful in assessing general attitudes of varying demographic
groups on gun control, the use of GSS data for my research study was not feasible due to
the focus of the gun related questions not addressing the perspectives of gun owners and
non-gun owners towards specific gun control policies and the 2nd Amendment Sanctuary
movement in Virginia.
Summary
The controversial issue of gun policy in America has been extensively examined
from many different viewpoints. It is consistently characterized by outrage, then action,
52
followed by reaction which specifically aligns to Baumgartner and Jones’ theory of
punctuated equilibrium (Watkins, 1997). There is an abundance of contradictory research
about the effectiveness of gun control policies at reducing gun violence. However, there
is a lack of literature specifically addressing the perspectives of gun owners and non-gun
owners as it relates to contrasting legislative initiatives at the state and local levels. It is
important to analyze and understand this issue as overall current opinion polls show an
increase in public support for some gun regulation which is in contrast with the trend
from the last two decades which was marked by a decline in public support for more
regulation (Vizzard, 2015). This study explores the dichotomy between public opinion
polls and the rise of the 2nd Amendment Sanctuary movement in Virginia. Examining
what factors drive engagement contributes to the existing literature on gun policy and
may influence future policy development aimed at curbing gun violence while protecting
individual rights. The next chapter describes how the study was conducted and how the
participants were selected. It also explains the rationale for the type of study
methodology, instrumentation design, data analysis as well as reviews any validity and
ethical considerations.
53
Chapter 3: Research Method
Introduction
The purpose of this quantitative cross-sectional correlational research study was
to examine Virginia gun owner and non-gun owner attitudes on gun policy and enhance
the understanding of the conflict between divergent views that influence gun policy
initiatives at the state and local levels. It is unknown what Virginia gun owner and
nongun owner attitudes are regarding local enactment of 2nd Amendment Sanctuary
resolutions and state gun law proposals or if gun policy imaging exposure influences the
contradictory perspectives regarding state and local government gun policy initiatives in
Virginia. The dichotomy between the explosion of localized 2nd Amendment Sanctuary
resolutions and the enactment of state level gun legislation sets the stage for assessing the
attitudes behind both initiatives and the effect of various gun policy images on those
attitudes. In this chapter, I focus on the research questions and variables, explain the
rationale for the quantitative nonexperimental cross-sectional correlational study design,
and articulate any constraints. I also address the methodology by defining the population,
discussing sampling procedures and participant recruitment, and conclude with a
breakdown of the data collection procedures and threats to validity. The chapter ends with
a summary of the key points.
Research Design and Rationale
I designed this quantitative nonexperimental cross-sectional correlational study to
assess the attitudes of Virginia gun owners and non-gun owners on gun control laws, 2nd
Amendment sanctuary resolutions and the influence of policy images on their attitudes.
54
The independent variable for this study was gun ownership. This dichotomous variable
was represented by 1 = yes and 2 = no. Attitudes on 2nd Amendment sanctuary
resolutions was a dependent variable measured on a 7-point Likert scale. I measured the
composite score of the attitudes on nine specific gun control laws: universal background
checks, protective orders, carrying firearms in sensitive areas, a one-gun-a-month
purchase limit, reckless endangerment of a minor, notification of lost or stolen weapons,
extreme risk protection orders, assault weapons and magazine bans, and concealed carry
on a 7-point Likert scale which functioned as both a dependent variable and a predictor
variable to address the research questions. The policy image factors that potentially
influence attitudes on gun control were also predictor variables. These eight variables:
media coverage, interest groups, mass shootings, suicides, mental health, culture,
religion, and political identity, were measured to provide an index score of positive,
negative, and no effect for analysis. Additionally, the categorical variables for the
demographics of gender, race, and political affiliation functioned as covariates.
In establishing a research design, I used quantitative analysis to convert observed
data into a format that could be manipulated using statistical techniques to provide an
explanation or description of the outcomes. I used a nonexperimental approach because
the independent variable was not subject to any manipulation, a cross-sectional approach
because the collected observational data came from samples of a pre-existing group
within the studied population at a single point in time, and a correlational design to
measure a statistical relationship between variables (Babbie, 2017). These four criteria
were characterized in the design of this study. I converted the collected data into
55
numerical values represented by dichotomous, categorical, or interval values. I did not
manipulate the independent variables. The sample population was a pre-existing group of
Virginians at least 18 years of age who had resided in the state for a minimum of 2 years.
I used multiple linear regression to test for a relationship between the variables. Analysis
of the empirical data collected using a quantitative nonexperimental cross-sectional
correlational approach efficiently and effectively addressed the aspects of the research
questions in this study of Virginians’ attitudes on gun control and 2nd Amendment
Sanctuary resolutions.
In this study I used a quantitative nonexperimental cross-sectional correlational
design due to the compressed timeframe and constrained resources characteristic of this
research study. This approach incorporated the use of statistical tools for data analysis,
which provided a means for accurate and timely outputs without any manipulation of the
variables by me, the researcher. A survey enabled me to describe the characteristics of the
phenomenon being studied. Using a survey required little interaction between the study
participants and me, which saved time and resources. With web-based tools such as
SurveyMonkey, I was able to design and administer an instrument to a large cross-section
of the population within a short timeframe at little to no cost. Ultimately, this design
streamlined the process and allowed for robust statistical analysis for determining the
outcomes.
Attitudes and perceptions of sample populations at a given time are often
measured in quantitative studies where the data are converted into numerical elements
and then analyzed through statistical procedures (Creswell, 2013). The design of this
56
study was consistent with this type of research. The use of this method enabled me as the
researcher to compare the differences in attitudes between gun owners and non-gun
owners and advance the knowledge of incongruent perspectives on gun policy at the state
and local levels.
Methodology
Population, Setting, and Sample
The target population for this research study was the adult population of the
Commonwealth of Virginia who were at least 18 years of age and therefore legally
eligible to own a firearm. As of July 2020, anyone 18 years or older in Virginia can
purchase a rifle or shotgun; however, the individual must be 21 years old to purchase a
handgun. According to the U.S. Census Bureau (n.d.), Virginia’s total adult population as
of June 2020 was estimated at 6.657 million. Virginia’s population was 49% male and
51% female and was composed as follows: approximately 61% White, 20% Black, 10%
Hispanic, 7% Asian, and 2% other. More than 89% of the population had a high school
degree and 38% had a bachelor’s degree or higher. The median household income was
$71,564 with 10.7% of the population living in poverty.
I determined two other important demographics for this study using proxy data.
Virginia recognizes only two official political parties: Democrat and Republican. In
2016, approximately 49% of the population of Virginia voted Democrat and 44% voted
Republican (Virginia Department of Elections, n.d.). Because Virginia does not require
registration with a specific political party to vote, the demographic for political affiliation
in this study was instead based on the proxy data from overall party identification in the
57
United States. In 2020, a Pew survey found that 33% of Americans identified as
Democrat, 29% identified as Republican, and 34% identified as Independent (Gramlich,
2020).
Gun ownership is also difficult to determine because Virginia does not have a
requirement to register firearms. In 2020, RAND conducted a study, “State-Level
Estimates of Household Firearm Ownership,” which assessed years of survey data from
the Behavioral Risk Factor Surveillance System (BRFSS), GSS, Pew Research Center,
and Gallup along with proxy measures of the rates from gun suicides, hunting licenses,
and Guns & Ammo magazine subscriptions to determine household firearm rates (HFR).
The result for Virginia was an HFR of 44% (Schell et al., 2020). This number may be
high because several individual survey estimates of gun ownership in Virginia quote
lower numbers. Specifically, the Pew study had a gun owner rate for Virginia closer to
30% (Parker, 2017). In this study, I used the HFR score of 44% as the baseline for
comparing gun ownership rates between the sample population and demographics for
Virginia.
In research to determine the probability of an outcome, a robust representative
random sample of the population being studied is required. Probability is defined as the
measure of whether an event will happen in relation to the total number of possible
outcomes. A random selection means that each participant has an equal chance of being
selected. However, probability samples are not always feasible or appropriate. Therefore,
due to the nature of this nonexperimental study design, I used a nonprobability sampling
technique to gather the sample by a means unrelated to random selection and probability
58
theory (Babbie, 2017). In this study, I selected a subset of Virginians older than 18 years
using the SurveyMonkey application. I sent the survey to individuals who met the
screening criteria which provided a basis for examining the attitudes of a segment of the
population. Using this technique for this study ensured that a large enough sample that
was generally representative of the target population was collected. This enabled
statistically sound assessments of the data (Babbie, 2017). I compared the overall
demographics for the population of Virginia with the sample population in the study
using chi-square analysis to demonstrate the representativeness of the sample.
SurveyMonkey (n.d.) consists of a panel of volunteers who agree to participate in
research studies. The sample obtained from SurveyMonkey was limited based on the
number of participants maintained within their database. The population size was the
entire population represented in this study which is an estimated 6.6 million Virginians
who are 18 years of age or older (Census Bureau, n.d.). The confidence level shows how
reliable the outcomes are and for this study it was set at 95%. The margin of error
informs how much of a deviation there is in the sample population from the total
population and for this study the margin of error was 5%. The G*Power (see Figure 2)
sample size results showed that a minimum of 128 valid responses were needed as the
sample for this study. The representativeness of the SurveyMonkey sample was assumed
but could not be validated although a chi-square analysis was conducted to assess the
representativeness of the sample. The population was screened to include only those who
have lived in Virginia for at least the last 2 years and were 18 years or older.
59
SurveyMonkey only included those participants who self-reported that they met the
screening criteria, and any survey responses that did not meet the screening criteria were
excluded from the study. All potential respondents were provided with an informed
consent letter attached to the survey that articulated the study purpose, the voluntary
nature of their participation, and the parameters of their involvement in the study. Those
who consented to the survey and met the criteria were able to participate in the study
(SurveyMonkey, n.d.).
Power Analysis
Power analysis is typically used by researchers to ensure that the sample size is
large enough to determine with some degree of confidence that an effect can be detected.
There are four elements to power analysis; sample size, effect size, significance level
(alpha), and power (beta). In knowing any three of the elements the fourth can be
determined. The sample size is the minimum number of participants or subjects required
in the analysis to prove a statistically significant result. Effect refers to the outcome or
results of what was actually studied regardless of how many subjects were included. The
expected effect is traditionally assessed based on findings from similar studies and
knowledge of the topic and is ranked as small, medium, or large. The study design will
also influence the effect size benchmarks that should be used. The effect size is a
measurement of the strength or significance of the study results independent of the size of
the sample. The significance level or p-value refers to the likelihood that an effect is not a
result of chance. Power refers to the probability that the effect that is present will be
found (Hunt, 2015).
60
The purpose of conducting a power analysis for this study was to exemplify the
number of subjects needed to prove that the effect is statistically significant and not due
to chance. It ensured that a statistically significant predictor could be detected from the
sample size. Prior to beginning the research I conducted a priori power analysis to show
the feasibility of the multiple linear regression statistical tests used in this study and
determine the size of the sample needed. The power analysis used G*Power version
3.1.9.2 software for the specific statistical tests (Faul et al., 2009).
Figure 2
Power Analysis for Multiple Linear Regression
In multiple linear regression Cohen (1988) states that a medium effect size is f2 =
61
.15, which equates to a .13 medium effect size for multiple-R2 and a .059 medium effect
size for a partial r2. When calculating to remove any shared variance from the partial r2, the
result is a part r2 of .0545 which accounts for any unique variance of a specific predictor.
When conducting the multiple linear regression analysis the residual variance is defined as
the proportion of variance that is not explained by the entire set of predictors and equates to
1 – multiple-R2 or .87 for a medium effect size of the overall multiple-R2. To detect a
medium effect size part r2 of a predictor within an overall medium effect size multiple-R2
the power analysis values are a Cohen’s f2 = .0626, p = .05, and power = .80
(Cohen, 2003).
The result of the G*Power analysis (see Figure 2) was a required minimum
sample size of 128 to ensure there was a 5% chance that the null hypothesis is correct but
will be rejected and an 80% probability of finding a significant relationship in the effect. I
have multiple predictors in my test and the sample size of 128 remains consistent for up
to 37 predictors (Cohen 2003).
Participant Recruitment and Data Collection
Recruitment of participants for this study was managed through the
SurveyMonkey (n.d.) application which drew from a pool of participants who met the
screening criteria. The SurveyMonkey panel of participants for this study was comprised
of individuals who live in Virginia. SurveyMonkey encourages participation and honest
input by offering incentives such as donations to the participants’ favorite charity and
opportunities to win prizes. The survey was sent directly to the participants via an email
link. The email also contained the purpose of the study, the participant consent letter,
62
information on the length of the survey, the approximate time required to complete it, and
contact information in case any participant requests the results or has a question. The
participant consent letter included a guarantee of anonymity and informed on the
potential risks, harms and benefits of participating in the study (Babbie, 2017). Once the
participant agreed to the terms outlined in the consent letter they were granted access to
the survey instrument. The survey took approximately 5 minutes to complete. Once the
survey was completed the participants received an auto-generated thank you that
appeared after they clicked the submit button. The results from the survey were compiled
by SurveyMonkey and the raw data made available to me for statistical analysis. It was
expected to take approximately 5 days to collect the data for this study (SurveyMonkey,
n.d.).
Cognitive Testing Pilot Study
Cognitive testing of the questions is conducted when developing a survey to
determine if the questions perform as designed. It ensures that the respondents are able to
correctly understand what is being asked and provide accurate responses. Specifically, is
the intent of the question captured and does it make sense to the audience? The test
examines four aspects of each question which include comprehension of the topic, recall
of relevant knowledge, bias or sensitivity, and completeness of the response format. The
goal of a cognitive pilot is to improve the survey quality by addressing any
misunderstandings or concerns prior to fielding the survey to the sample population
(Centers for Disease Control and Prevention, n.d.).
63
In this study I administered a cognitive pilot (see Appendix B) to test the
readability and understandability of eight of the survey questions that were not pulled
from established and verifiable survey instruments. These eight questions related to the
influence of policy images on attitudes towards gun control. The format for the questions
was based on the Political Attitudes Questionnaire (PAQ) developed by Koleva et al.
(2012). The question design used a multiple choice option of three contrasting statements
to garner the pro, con, or no effect view of the participant by asking which statement
about the issue was closest to their views. My survey questions inserted the policy
imaging issues into the pro, con, no effect formatted statements. The policy imaging
elements were an index and did not constitute a scale measure. Therefore neither factor
analysis nor a Cronbach’s alpha was appropriate nor necessary since the variables were
not correlated or coalesced into a common variance construct (Warner, 2013).
The pilot was administered to 12 participants who met the criteria of the sample
population using convenience sampling. The pilot only included the eight requisite
questions and made no reference to the other survey questions. The pilot participants
were asked to provide any comments or recommendations in writing geared towards
improving the readability and understandability of the survey questions. The feedback
was assessed and incorporated as required into the final survey instrument. The cognitive
pilot outcomes and modifications to the final survey instrument are discussed in the study
outcomes.
64
Instrumentation and Operationalization of Constructs
Survey Development
The survey instrument I used in this study (see Appendix A) was comprised of 25
questions pulled from two empirically validated survey instruments and my cognitive
pilot. The authors granted permissions to use the survey questions and modify them
where necessary to fit the scope of my study. My survey consists of two screening
questions for participation, four multiple choice demographic questions, one dichotomous
question on gun ownership, one Likert scale question on 2nd Amendment Sanctuary
attitudes, nine Likert scale questions on gun control attitudes, and eight multiple choice
questions on the influence of gun policy imaging.
The 2017 Pew Research Center’s American Trends Panel (ATP) consists of a
nationally randomly selected representative group of adult respondents n = 3930 and asks
99 questions related to American gun attitudes. Pew survey material is free to the public
for use and written permission to use the questions without any modification was granted
by Ms. Julia O’Hanlon via email on July 27, 2020 (see Appendix C). Pew uses a
multistep approach to designing and validating survey instruments. They assess wording,
format, and ordering through focus groups and pilots. Questions from the ATP are used
over many years on various survey instruments to ensure consistency and validity in the
collected data. The 2017 survey margin of error was 2.8% with a 95% confidence
interval. My survey included the verbatim question on gun ownership measured as a yes
or no and demographic questions on race, gender, and political affiliation taken from the
2017 Pew survey (Parker et al., 2017).
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The Police Chiefs’ Perceptions of Firearm Policies (PCPFP) survey is a 29 item
instrument designed by Dr. Amy Thompson in 2006 to assess support for various firearm
regulations by Police Chiefs. The questions ask respondents to rate on a 5-point Likert
scale how strongly they agree or disagree with specific gun regulations. The survey
design aligned with my questions on gun regulations and was modified to address the
nine specific Virginia gun laws and incorporate a 7-point Likert scale. Written permission
to use and modify the questions as appropriate was granted by Dr. Thompson via email
on July 27, 2020 (see Appendix C). The PCPFP survey content was validated through two
iterations of a pilot consisting of a convenience sample of 20 police chiefs. The
correlation coefficient was .64 and the Cronbach’s α = .90 on the firearm regulation
questions. The survey instrument was used in a 2006 study of police chiefs n = 405
perceptions and a subsequent 2011 study of sheriffs n = 398 perceptions (Thompson et
al., 2006).
The PAQ instrument was developed by Koleva et al. (2012) to assess the attitudes
on specific political issues. The instrument was pulled from the PsycTests database and
written permission was not required for use in educational research (see Appendix C).
The questions were collected and adapted from national polls conducted by Gallup, Inc.,
the New York Times, and the Pew Research Center. The survey was administered to
selfselected volunteers from the general population n = 14,517. For my study the format
design of eight of the questions was a modified version from PAQ and tested for
readability and understandability with a cognitive pilot of 12 participants.
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Variable Definitions, Measures, and Scales
1. Gun Ownership - legally owning one or more firearms to include handguns, rifles,
and shotguns (Parker et al., 2017).
2. 2nd Amendment Sanctuary - a local jurisdiction (county, city, or town) that has
adopted a resolution to reject the local enforcement of any firearm law (state or
federal) that they perceive as a violation of the 2nd Amendment individual right to
bear arms (Mascia, 2020).
3. Universal Background Checks - requiring a mandatory review of records in the
National Instant Criminal Background Check System (NICS) to legally purchase
or transfer any firearm (VLIS, n.d.).
4. Protective Orders - prohibiting any person subject to a legal protective order
issued by a magistrate or judge from possessing a firearm (VLIS, n.d.).
5. Carrying in Sensitive Areas - authorizing local ordinances to prohibit carrying or
possessing firearms or requiring a permit to carry or possess a firearm in
government buildings, public parks, recreation or community centers, or public
streets and sidewalks (VLIS, n.d.).
6. One Gun a Month Limit - prohibiting anyone who is not a licensed gun dealer
from purchasing more than one handgun in a 30-day period (VLIS, n.d.).
7. Reckless Endangerment of a Minor - mandating any person who recklessly leaves
a loaded or unsecured firearm in a manner that endangers the life or limb of a
person under the age of 14 is guilty of a class 1 misdemeanor (VLIS, n.d.).
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8. Notify of Lost or Stolen Weapon - requiring a person to notify police within 48
hours of discovering the loss or theft of a firearm (VLIS, n.d.).
9. Extreme Risk Protection Orders - allowing any attorney for the Commonwealth or
a police officer to apply to a court for a 14-day emergency substantial risk order to
prohibit a person who poses a risk from purchasing, possessing or transporting a
firearm (VLIS, n.d.).
10. Assault Weapons and Magazine Ban - prohibiting the sale or transfer of assault
weapons, silencers, and magazines holding greater than 12 rounds (VLIS, n.d.).
11. Concealed Carry - requiring a legally issued permit to carry a concealed handgun
in public (VLIS, n.d.).
12. Media Coverage of Gun Policy - general attention and exposure to policy
initiatives related to gun violence and crime in print, television, radio, the internet,
or social media.
13. Interest Group Involvement in Gun Policy - familiarity with or membership in a
group or an organization with a specific common interest in gun rights or gun
control advocacy or issues that attempt to influence public policy.
14. Mass Shooting Awareness - the familiarity or knowledge of a gun violence
incident that involves the death of four or more people within a 24 hour period by
the same perpetrator or group of perpetrators with no cooling off period (Lott,
2018).
15. Gun Suicide Prevalence - familiarity or knowledge of the prevalence of gun use
by people who intentionally killed themselves.
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16. Mental Health Aspect of Gun Violence - the familiarity or knowledge of an
incident that involves an individual with diminished psychological, emotional,
and social capacity that results in gun violence.
17. Cultural Influence on Gun Policy - the shared beliefs, values, knowledge, social
norms and characteristics that affect attitudes towards gun policy.
18. Religious Influence on Gun Policy - the organized system of beliefs or attitudes
related to the worship of God or the supernatural that influence support or
opposition to gun policy.
19. Political Identity Influence on Gun Policy - the knowledge and support of a set of
political ideals or issues that inform an individual belief system on gun policy.
Table 3
Variable Measures and Scales
Variable
Measure
Scale
Gun Ownership
Predictor
Dichotomous
Attitudes on 2nd Amendment Sanctuary
Dependent
Interval
Attitudes on Gun Control Policies (universal
background checks, protective orders,
carrying firearms in sensitive areas, a one-
gun-a-month purchase limit, reckless
endangerment of a minor, notification of
lost or stolen weapons, extreme risk
protection orders, assault weapons and
magazine bans, and concealed carry)
Dependent and
Predictor
Interval w/ a
composite
score
Exposure to Policy Imaging (media
coverage, interest group involvement,
mass shooting awareness, gun suicide
prevalence, mental health effects, cultural
influence, religious influence, and
political identity influence)
Predictor
Categorical w/
an index score
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Demographics (gender, race, and political
affiliation)
Covariate
Categorical
Data Analysis Plan
Multiple linear regression was used in this study to test the relationship between
the variables and determine if the null hypotheses should be rejected for each of my three
research questions. This type of test was used to estimate how the dependent variable
might change when exposed to changes in the independent or predictor variables. The
predictor variable gun ownership is dichotomous and the exposure to policy imaging
variable is categorical. The dependent and predictor variables on attitudes regarding gun
control and 2nd Amendment sanctuary resolutions are measured on a 7-point Likert scale
which is traditionally considered ordinal. There is an ongoing debate among researchers
as to whether Likert scale values should be treated as ordinal or interval. This
differentiation affects the types of parametric or nonparametric statistical tests that can be
applied. Some statisticians prefer to use parametric analysis if all assumptions are met
whereas others are less stringent and prefer parametric methods due to their enhanced
statistical power. If Likert scale data is treated as ordinal then nonparametric testing
should be used meaning there is no assumption that the data is distributed normally.
Conversely if they are treated as intervals then parametric testing applies meaning it is
assumed that there is a normal distribution within the data (Warner, 2013). A 2017 study
by Wu and Leung demonstrated that increasing the number of points on the Likert scale
improves the approximation to true intervals, reduces kurtosis and skewness, and
increases the normality of the distribution. Based on other research (Knapp, 1990;
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Lovelace & Brickman, 2013; Wu & Leung, 2017) regarding the treatment of Likert scale
variables, the projected sample size, and the assumption that the sample will be evenly
distributed, I elected to treat the data from the 7-point Likert scales as interval and apply
parametric testing in this study.
The software used to analyze the data in this study was the IBM Statistical
Product and Service Solutions (SPSS) v27. Before beginning any analysis the data
gathered from the surveys was screened to ensure accuracy, consistency, and identify
outliers or missing data elements. Outliers are data points that are significantly different
from the rest of the data. These extremes fall outside the normal distribution or z scores.
A boxplot, histogram or scatterplot was used to identify outliers. If outliers are detected
the data set may be trimmed or the outliers converted to a mean or median. For missing
data the course of action will depend on the amount that is missing. If the missing data
equals less than 3.29% of the total it will be omitted; if it is greater than 3.29% then
values will be randomly imputed using the SPSS software (Warner, 2013).
The data were tested for any assumptions relative to the statistical tests that were
used. For multiple linear regression this includes linearity, normality, multicollinearity,
and homoscedasticity. If the assumptions were not met then further action was applied for
the variable in question. The linear relationship between the dependent and independent
variables was assessed by testing for the linearity assumption. Normality assumed that
there was a normal distribution of the variables’ scores. The multicollinearity assumption
tested for the correlation between predictor (independent) variables. Homoscedasticity
assumed equal variances for the populations being assessed (Warner, 2013).
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I tested Hypothesis 1 using multiple linear regression to determine the
relationship between the predictor variables (gun ownership and exposure to gun policy
imaging) and the dependent variable (attitudes on Virginia state gun laws). The test
provided descriptive statistics, confidence intervals, regression coefficients r2 or
estimated effect, standard error which shows the variation in the estimates, t statistic, and
p-value (Warner, 2013).
I tested Hypothesis 2 using multiple linear regression to determine the
relationship between the predictor variables (gun ownership and exposure to gun policy
imaging) and the dependent variable (attitudes on 2nd Amendment Sanctuary
resolutions). The test provided descriptive statistics, confidence intervals, regression
coefficients r2, standard error, t statistic, and p-value (Warner, 2013).
I tested Hypothesis 3 using multiple linear regression to determine the
relationship between the dependent variable (attitudes on local 2nd Amendment
Sanctuary resolutions) and multiple predictor variables including (gun ownership,
attitudes on gun control, exposure to policy imaging, race, gender and political
affiliation). These covariates were added to the analysis to increase the precision of the
predictions and reduce any bias. The test provided descriptive statistics, confidence
intervals, estimated effect, and variation in the estimates, t statistic, and p-value.
Additionally, the Part R-squared values were assessed to learn the relative importance of
the predictors (Warner, 2013).
The research questions and hypotheses for this study were:
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RQ1: What is the relationship of gun ownership and exposure to gun policy
imaging in predicting attitudes on Virginia state gun laws?
H01: There is no statistically significant relationship between gun ownership and
exposure to gun policy imaging in predicting attitudes on Virginia state gun laws.
HA1: There is a statistically significant relationship between gun ownership and
exposure to gun policy imaging in predicting attitudes on Virginia state gun laws.
• Dependent variable: attitudes on Virginia state gun laws.
• Predictor variables: gun ownership; exposure to gun policy imaging.
RQ2: What is the relationship of gun ownership and exposure to gun policy
imaging in predicting attitudes on 2nd Amendment Sanctuaries?
H02: There is no statistically significant relationship between gun ownership and
exposure to gun policy imaging in predicting attitudes on 2nd Amendment Sanctuaries.
HA2: There is a statistically significant relationship between gun ownership and
exposure to gun policy imaging in predicting attitudes on 2nd Amendment Sanctuaries.
• Dependent variable: attitudes on 2nd Amendment Sanctuary resolutions.
• Predictor variables: gun ownership; exposure to gun policy imaging.
RQ3: Do attitudes on Virginia state gun laws, exposure to gun policy imaging,
gun ownership, gender, race, and political affiliation predict attitudes on 2nd Amendment
Sanctuaries?
H03: Attitudes on Virginia state gun laws, exposure to gun policy imaging, gun
ownership, gender, race, and political affiliation are not statistically significant predictors
of attitudes on 2nd Amendment Sanctuaries.
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HA3: Attitudes on Virginia state gun laws, exposure to gun policy imaging, gun
ownership, gender, race, and political affiliation are statistically significant predictors of
attitudes on 2nd Amendment Sanctuaries.
• Dependent variable: attitudes on 2nd Amendment Sanctuary resolutions.
• Predictor variables: attitudes on Virginia state gun laws, exposure to gun
policy imaging, gun ownership, gender, race, and political affiliation.
Threats to Validity
Threats to External Validity
External validity is determined when the results of the research are valid across
many different contexts such as time, settings, or individuals. The idea is to ensure
generalizability of the results within the context of the entire population even though they
were not explicitly included in the research. The more closely the study resembles the
real world the stronger the external validity. A potential external threat to validity in this
research study was experimenter effect or the unintentional influence of the participants
by the researcher. This was mitigated by the online anonymous nature of the survey
instrument and the specific survey questions included in the instrument. Another potential
factor effecting external validity was the specific nature or selection bias associated with
the variables being assessed. This was minimized through the use of established and
meaningful definitions of the variables extracted from comparable studies on attitudes
and gun control (Burkholder et al., 2016).
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Threats to Internal Validity
Internal validity addresses the rigor of the study so that there is no plausible
explanation other than the outcome you reached. In quantitative research a threat to
internal validity is an alternative explanation that challenges the validity of a proposition.
The issue is that in research you must consider whether one explanation is better than a
rival explanation; basically you must be able to reasonably infer that the outcome is
accurate by ruling out any threats (Burkholder et al., 2016). The category of history was a
potential threat to internal validity in this study. This threat appears when during the
course of the study an event occurs that may influence the results. The topic of attitudes
on gun control and policy image could be influenced by major high profile events such as
a mass shooting, rising crime, riots, and other events that affect individual perceptions.
This potential internal threat was mitigated by ensuring the survey data was collected
within a short span of time so that outside influencers did not alter respondent answers to
the survey questions. Gun control is a volatile topic that garners extreme attitudes on both
sides of the debate. A second possible threat to internal validity was statistical regression
which is when an extreme position negatively affects the outcome. In this study there is a
potential threat to statistical regression if the attitudes of the respondents are so extreme
that they lead to a significant regression towards the mean. To mitigate this threat the
survey responses were collected using SurveyMonkey to generate a diverse sample
population. A third threat was selection bias which will be mitigated by conducting the
survey online via SurveyMonkey where the sample populations are generated from a
panel that enables a representative although not completely random group of respondents
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(Babbie, 2017).
Threats to Construct Validity
Construct validity assesses the relationship between the variables based on
whether or not the instrument reliably measures what it is designed to measure. It
demonstrates how well your ideas regarding your research match the measures you plan
to use. There are several factors to consider when assessing the construct validity in your
study. Content is assessed to determine if specific criteria associated with the topic are
clearly defined and deemed applicable. The correlation between variables is considered
to determine if there is a predictable relationship. The measures are evaluated to see if
they can distinguish between groups and therefore discriminate between concurrent
relationships. The convergent and discriminant relationships are also reviewed to
demonstrate validity of the instrument. Threats to construct validity include poor
definition of the measures, limited application of the measures, confounding factors, and
researcher expectations (Trochim, 2020b). To mitigate these threats well defined and
validated questions were used in the survey instrument gleaned from previously
established and comparable surveys. A cognitive test pilot was conducted for the eight
questions not pulled from other instruments. Additionally, exposure to other factors that
may influence the sample population was limited and protocols were instilled to limit
researcher bias such as the use of an anonymous online survey.
Threats to Statistical Conclusion Validity
Statistical conclusion validity requires the selection of the correct statistical test
and appropriate sample size to ensure accurate and reliable conclusions. It expresses the
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extent to which the conclusions about the relationship between the variables is credible.
In quantitative research if you are looking for a relationship between variables the
expected answer is the relationship either does or does not exist. However, as a researcher
you must consider that your conclusion may be incorrect, and therefore statistical
conclusion validity should be assessed to determine if the conclusion is reasonable. The
threats to statistical conclusion validity may include factors such as reliability,
implementation, and statistical power. Reliability refers to the quality and consistency of
the measures being used in the study. Threats to reliability in this study were mitigated by
using established and validated questions from comparable survey instruments related to
gun control and attitudes and conducting a cognitive pilot. The threat from statistical
power was limited by ensuring an adequate sample size and by applying the appropriate
significance level and effect size during the statistical analysis of the data. The threat to
good implementation of the study was minimized by using a standardized survey
instrument and corroborated protocols (Trochim, 2020a).
Ethical Procedures
There are numerous ethical procedures required when conducting research studies
to ensure the protection of the participants, data, and researchers. These include but are
not limited to the concepts of voluntary participation, informed consent, risk of harm,
confidentiality, and anonymity. Voluntary participation means that no one should be
coerced to participate in the research. Informed consent requires that the researcher
ensure that all prospective participants understand the risks and procedures of the
research study and that they agree to participate. A typically informed consent letter
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would include things such as a statement about what the research involves and its
purpose, a description of potential risks and benefits, a disclosure on any alternative
treatments, confidentiality expectations, or compensation, a point of contact for
questions, and a statement asserting the voluntary participation of the subjects. The risk
of harm relates to the three principles outlined in the Belmont Report that include making
sure that the individuals are respected, not harmed, and that the research is fairly shared.
Confidentiality is applied when the researcher assures the participants that any
identifying information acquired during the course of the study will not be provided or
made available to those who are not directly involved with the research. Anonymity
implies that the individuals involved in the study will remain unknown to everyone
including the researcher (Babbie, 2017).
This research study complied with the Walden University Institutional Review
Board guidelines. The Walden University’s IRB approval number for this study is 10-
2520-0912272 and it expires on October 24, 2021. All potential participants in the
research were given an informed consent letter that articulated the purpose, procedures,
benefits and risks associated with the study. There was no compensation provided by me
for participation although SurveyMonkey (n.d.) does offer opportunities for prizes to
individuals registered in their panel pool. No individuals were harmed during this study.
The participants were all volunteers and able to withdraw from the study at any time. No
specific identifiable information was collected other than basic demographics and results
from the data collection were coded to ensure anonymity. The data will be stored for the
requisite five-year period in a locked cabinet and then destroyed.
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Summary
In this quantitative research study a survey methodology was employed to gather
primary data to assess gun owner and non-gun owner attitudes on 2nd Amendment
Sanctuary resolutions, exposure to policy imaging, and state level gun control policies
and proposals. This study addressed attitudes of constituents on divergent state and local
gun policy initiatives, an under-researched area of gun control. The sample for this study
was obtained through SurveyMonkey (n.d.), an online tool designed to include access to
a population pool that meets specific screening criteria. The survey instrument was
designed to assess the attitudes of gun owners and non-gun owners providing numerical
data for quantitative statistical analysis. Hypotheses were tested using multiple linear
regression to answer the research questions in this study. Any threats to validity and
ethical procedures were assessed and mitigation strategies were employed.
Chapter 4 summarizes the results of my study and outlines the data collection
process as it relates to the population studied. The chapter includes an in-depth
explanation of the study results consisting of an analysis of the descriptive statistics and
evaluation of any assumptions. Specifically, the results of the statistical analysis are
reported regarding each research question and hypothesis. This includes the results for
any statistical tests accompanied by graphs, charts, tables, and figures. The chapter
concludes with a summary of the answers to each of the research questions and a
transition to the final chapter of the study which focuses on the interpretation of the
findings, limitations of the study, recommendations for further research, and implications
for positive social change.
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Chapter 4: Results
Introduction
The purpose of this research study was to examine Virginia gun owner and
nongun owner attitudes on gun policy to better understand the divergent views that
influence gun policy initiatives at the state and local levels. To gain insight into Virginia
gun owner and non-gun owner attitudes on the local enactment of 2nd Amendment
Sanctuary resolutions and state gun law proposals, I analyzed survey data of gun owners
and nongun owners older than 18 years who had resided in Virginia for at least the last 2
years. The results provided an opportunity to explore the dichotomy between the
explosion of localized 2nd Amendment Sanctuary resolutions and the enactment of state-
level gun legislation and whether policy image had any influence on attitudes toward
those elements. The research questions and hypotheses for this study were as follows:
RQ1: What is the relationship of gun ownership and exposure to gun policy
imaging in predicting attitudes on Virginia state gun laws?
H01: There is no statistically significant relationship between gun ownership and
exposure to gun policy imaging in predicting attitudes on Virginia state gun laws.
HA1: There is a statistically significant relationship between gun ownership and
exposure to gun policy imaging in predicting attitudes on Virginia state gun laws.
RQ2: What is the relationship of gun ownership and exposure to gun policy
imaging in predicting attitudes on 2nd Amendment Sanctuaries?
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H02: There is no statistically significant relationship between gun ownership and
exposure to gun policy imaging in predicting attitudes on 2nd Amendment Sanctuaries.
HA2: There is a statistically significant relationship between gun ownership and
exposure to gun policy imaging in predicting attitudes on 2nd Amendment Sanctuaries.
RQ3: Do attitudes on Virginia state gun laws, exposure to gun policy imaging,
gun ownership, gender, race, and political affiliation predict attitudes on 2nd Amendment
Sanctuaries?
H03: Attitudes on Virginia state gun laws, exposure to gun policy imaging, gun
ownership, gender, race, and political affiliation are not statistically significant predictors
of attitudes on 2nd Amendment Sanctuaries.
HA3: Attitudes on Virginia state gun laws, exposure to gun policy imaging, gun
ownership, gender, race, and political affiliation are statistically significant predictors of
attitudes on 2nd Amendment Sanctuaries.
In this chapter, I discuss the pilot study and its effect on the final survey
instrument. I provide a detailed overview of the data collection timeline and process. This
is followed by a comprehensive review of the data analysis including, descriptive
statistics and results. The chapter concludes with a summary of the research outcomes.
Pilot Study
I conducted a pilot study from November 27 to November 30, 2020, to assess the
understandability and readability of eight of the survey questions that I developed
specifically for this research study. These eight questions related to the influence of
policy images on attitudes toward gun control and were designed with a multiple-choice
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option to garner the pro, con, or no effect views of the participants by asking which
statement about the issue was closest to their views. I used the pilot to ensure the
questions performed as designed and that respondents were able to correctly understand
what was being asked and provide accurate responses.
For the pilot study, I sent the eight relevant survey questions (see Appendix B) to
12 friends and family via direct email. I asked the pilot participants to review each of the
eight survey questions and answer whether they were clear and easy to follow, easy to
read and understand, whether the answer options were clear and easy to understand, and
whether the answer options accurately reflect their view or if a different answer option
was necessary. All 12 pilot participants responded and provided comments. None of the
responses to the specific eight multiple choice survey questions were included in the final
statistical data analysis for this research study
Overall, the results of the pilot study demonstrated that the instructions were
clear, the questions were easy to read and understand and formatted correctly, and the
answer choice options were valid. Based on specific feedback from the pilot, I made
some minor adjustments to the final survey instrument to ensure clarity for three of the
questions. Specifically, for the first pilot question on news media, several respondents
highlighted that social media was a distinct platform from the internet, so I added social
media to this question as an example of a source of news media. This addition
corresponded to the definition of the variable in Chapter 3, which did include social
media. For the second question, several pilot participants were not familiar with the
examples of gun control advocacy groups presented and pointed out that both pro and con
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groups have an influence on policy image. To mitigate this confusion, I modified the
second question to include both pro and con gun policy advocacy. Examples from both
types of groups were added to clarify the intent. This addition also matched the definition
for this variable in Chapter 3. For the third question on mass shootings, it was
recommended that a more noteworthy example outside of Virginia be added to enhance
understanding of mass shootings. Therefore, I added another example of a mass shooting,
specifically Las Vegas 2017, to the question. Additionally, I corrected one grammatical
and one spelling error. None of the implemented changes affected the intent of the survey
instrument, data analysis, or strategies for the research study.
Data Collection
I collected the data for this research online via SurveyMonkey during a 4-day
timeframe between November 2, 2020, and November 5, 2020. The target population
included Virginians 18 years or older who had lived in Virginia for at least the last 2
years, since November 1, 2018. I incorporated screening questions to ensure participants
met the criteria for participation in the study. I used the SurveyMonkey Audience tool,
and sent the surveys to 202 potential respondents, of which 192 responded and fully
completed the survey for a response rate of 93%. All respondents provided informed
consent via the online form prior to gaining access to and completing the survey. The
survey responses were anonymous, and no identifying data or IP addresses were provided
to me. On average, the survey took the participants 4 minutes and 59 seconds to
complete.
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Prior to any analysis, I screened the data for any missing values using frequency
counts. No cases of missing values were present within the dataset. I also screened the
data for outliers by transforming the raw scores to z scores and comparing them to the
critical value of ± 3.0 with p < .001. Based on the z scores and boxplots, seven outliers
were detected in the dataset for the demographic variable of race and outliers were found
in four of the gun control variables (protective order = 4, reckless endangerment = 2, lost
or stolen weapon = 4 and concealed carry = 3). In analyzing the outliers, I determined
that neither a measurement error nor a sample population anomaly caused the outliers.
The outliers were a natural part of the population being studied, and all 192 records were
therefore included in the statistical analysis (Warner, 2013).
I compared the respondents’ descriptive and demographic characteristics from the
survey and those automatically provided by SurveyMonkey with the population in
Virginia in 2020 to ensure I used a comparable sample population in the study.
Figure 3
Gender Demographic Comparison
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According to the U.S. Census Bureau (n.d.), Virginia’s population in 2020 was 49% male
and 51% female. The survey participants’ gender breakout (see Figure 3) was similar,
with 50.5% male (n = 97) and 49.5% female (n = 95). Analyzing the results of the
chisquare one-way goodness of fit test, the covariate of gender for the sample population
was not statistically different at p = .563, which indicates the sample matched the
expected gender breakout of the population of Virginia.
Both the median household income and racial demographics for the survey
participants were skewed as compared to the overall Virginia demographics. The median
household income of survey participants was categorized in SurveyMonkey as $75,000 -
$99,000 while the Virginia median household income in 2020 was approximately
$71,564. This demographic was not a covariate in the study analysis. The racial breakout
of survey respondents was statistically different from Virginia at p < .001. For example
92.2% of respondents identified as White (n = 177) which was much higher than the state
population of approximately 61% White. As a result the other racial categories were
much lower than the Virginia demographic breakout for race (U.S. Census Bureau, n.d.).
As stated in Chapter 3, political affiliation and gun ownership are difficult to
accurately measure. In assessing the results for political affiliation it is important to note
that Virginia only recognizes two political parties. The voting statistics from 2016 were
measured as approximately 49% of the population voted Democrat and 44% voted
Republican (Virginia Department of Elections, n.d.). However, the national party
identification in 2020 was 33% Democrat, 29% Republican, and 34% Independent
(Gramlich, 2020). These national statistics differ slightly from the study participants
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where 41.1% identified as Democrat (n = 79), 24.5% identified as Republican (n = 47)
and over 1/3 of the survey respondents (n = 66), 34.4% identified as Independent,
NoPreference, or Other (see Figure 4). In comparing the survey respondents to the overall
United States political affiliation Democrats were more statistically represented while
Republicans and Independents were slightly underrepresented in the study population.
Figure 4
Political Affiliation Comparison
For gun ownership the RAND (2020) study was used to approximate a baseline
household firearm rate (HFR) in Virginia of 44% which is significantly higher than the
Pew (Parker et al., 2017) study which approximated gun ownership in Virginia at closer
to 30%. The survey participant results for this study reported gun ownership (n = 76) at
39.6% and non-gun ownership (n = 116) at 60.4% (see Figure 5). The gun ownership
percentage is closer to the HFR rate of 44% than the Pew approximation of 30%. Of the
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total participants 24.5% of the males and 15.1% of the females were gun owners.
Additionally, gun owners were comprised of 39.5% Republican, 22.4% Democrat, and
27.6% Independent, with 10.5% identifying as Other/No Preference.
Figure 5
Gun Ownership Comparison
Since November 2019, 91 out of 95 counties and 56 independent cities and towns
in Virginia passed some form of 2nd Amendment Sanctuary resolution. One additional
demographic question on the survey asked respondents if they lived in a 2nd Amendment
Sanctuary county, city, or town. Of the survey participants 41.1% responded that they did
not know if they lived in a 2nd Amendment Sanctuary county, city, or town. While 43.8%
responded they did not live in a 2nd Amendment Sanctuary county, city, or town and
15.1% responded that they did live in one. Of gun owners 39.5% responded they did not
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know and of non-gun owners 42.3% responded they did not know. It is interesting that
while more than 95% of counties in Virginia are 2nd Amendment Sanctuaries, over 40%
of participants (relatively evenly split between gun owners 39.5% and non-gun owners
42.3%) are seemingly unaware of whether or not their local government passed a
2nd Amendment Sanctuary resolution (see Figure 6).
Figure 6
Live in 2nd Amendment Sanctuary Comparison
The analysis and comparison of the descriptive and demographic characteristics
of the survey respondents and Virginia’s overall population were determined to be
representative of the total population for the covariate gender but not for the race
variable. Both the predictor variable gun ownership and the covariate political affiliation
were compared to proxy data which is difficult to measure accurately. The survey data for
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those two variables approximate the baseline proxy data established in this study for the
total population and therefore were used to reflect the characteristics of the sample
population. Based on the comparison of the demographics and descriptive data between
the total population and sample population the overall data was determined generally
representative and appropriate for use in this study.
Results
To conduct the statistical analysis and answer the research questions several
variables were combined to produce both a composite and index variable. Nine interval
variables on gun policy were combined to produce a composite score for attitudes on gun
control policies. Eight nominal variables were used to produce an index variable for the
influence of policy image. To assess the outcomes for each of the research questions
descriptive statistics of the dependent and independent variables were evaluated followed
by an analysis of the multiple linear regression tests for each hypothesis to include details
on the assumptions and results.
Prior to developing the composite gun control variable the raw data on gun owner
and non-gun owner attitudes regarding the nine specific Virginia gun control measures
was assessed (see Table 4). When compared with previous research conducted by Parker
et al. (2017) and Barry et al. (2018) all three studies demonstrated that both gun owners
and non-gun owners overwhelmingly supported several gun control policies such as
universal background checks to purchase a firearm, prohibiting persons with a protective
order from purchasing a firearm, extreme risk protective orders or red flag laws, and
requiring tests or permits for concealed carry of a firearm. The studies consistently
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demonstrated conflicting opinions between gun owners and non-gun owners on bans for
assault weapons and magazines, laws that limit firearm purchases to one gun a month,
and laws that prohibit the carrying of firearms in certain sensitive areas. The results of the
survey of Virginia gun owner and non-gun owner attitudes on specific gun policies
reinforce prior research that shows gun owners and non-gun owners both strongly support
some types of gun legislation while they diametrically oppose others.
Table 4
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Study Participant Gun Control Support Results, 2020
Descriptive Statistics
Descriptive statistics were analyzed for the dependent, independent, and covariate
variables in the study. This data provided information on the variables’ sample size (n =
192), mean to illustrate central tendency, and standard deviation (within ± 3.0) to depict
how far spread out the data was from the mean. The skewness score (within ± 3.0)
depicted if the distribution had symmetry and kurtosis (within ± 10.0) exemplified the
shape and spread of the data as having either a heavy or light tail (Warner, 2013). For this
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study the dependent variable attitudes on Virginia state gun laws was developed as a
composite of the data from the nine questions on gun control measured on a 7-point
Likert scale. This composite score was developed in SPSS by multiplying the mean or
average of the nine specific gun control variables. The Gun Control Composite scale
variable reliability had a Cronbach’s α = .939, which is greater than the generally
accepted baseline α > .70. This demonstrated a very strong internal consistency of the
items in the composite variable. The nine variables in the composite had a strong to
moderate correlation coefficient ranging between .475 and .798 at a significance of p <
.001 (Warner, 2013). The predictor variable exposure to gun policy imaging was
developed as an index variable. The data was nominal based on a pro, con, and no effect
assessment. The index was computed using the sum of the eight policy image variables
and then dividing them by the total number of variables. Neither a factor analysis nor
Cronbach’s alpha was applicable because the index variable was not measured on a scale.
The descriptive statistics for the dependent scale variable Gun Control Composite
(n = 192, M = 5.829, SD = 1.471) had a negative skewness of -1.287 which was within ±
3.0 and kurtosis was .505 which fell between ± 10.0 (see Table 5). The dependent scale
variable Second Amendment Sanctuary (n = 192, M = 3.35, SD = 2.445) had a positive
skewness at .364 and kurtosis of -1.585 both within acceptable ranges (see Table 5).
Table 5
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Descriptive Statistics: Gun Control Composite and 2nd Amendment Sanctuary
The descriptive statistics for the dichotomous predictor variable of Gun
Ownership (n = 192, M = 1.60, SD = .490) resulted in skewness of -.429 which was
within the range of ± 3.0 and kurtosis of -1.835 which was also within tolerance of ± 10.0
(see Table 6). A cross-tabulation was conducted comparing Gun Ownership to agreement
with 2nd Amendment Sanctuary resolutions (see Table 7). While more total participants
(n = 105) did not agree with establishing 2nd Amendment Sanctuaries (54.7%), the
results showed that 55% of gun owners agreed that counties, cities, or towns should enact
2nd Amendment Sanctuary resolutions to not enforce state or federal gun laws deemed a
violation of the 2nd Amendment. In comparison 24.1% of non-gun owners supported
enacting resolutions (see Figure 7).
The Policy Image Index nominal predictor variable (n = 192, M = 13.3229, SD =
3.969) was outside the acceptable range of ± 3.0. This indicates that the data may not
precisely follow a normal Gaussian distribution and require more than three standard
deviations to get 99.7% of the data within the norm. The skewness was .555 and the
kurtosis was -.450, both within acceptable ranges (see Table 6).
Table 6
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Descriptive Statistics: Gun Ownership and Policy Image Index
Table 7
Cross Tabulation for Gun Ownership and 2nd Amendment Sanctuary
Figure 7
Comparison of Support for 2nd Amendment Sanctuary Resolutions
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The dichotomous covariate of Gender (n = 192, M = 1.49, SD = .501) had a
skewness of .021 which was within the range of ± 3.0 and kurtosis of -2.021 which was
also within tolerance of ± 10.0 (see Table 8). Political Affiliation was a categorical
covariate (n = 192, M = 2.20, SD = .952). Both skewness of .613 and kurtosis of .167 fell
within the acceptable range (see Table 8). The categorical covariate Race (n = 192, M =
1.17, SD = .653) had both skewness of 4.039 and kurtosis of 15.863 outside the
acceptable range meaning there was a heavy tail in the distribution which was very
peaked on one end (see Table 8). The non-normal distribution was also evident in the
demographics analysis discussed previously where 92.2% of the survey respondents
indicated they were white and the other race percentages were well below the total
population baseline.
Table 8
Descriptive Statistics: Gender, Political Affiliation and Race
Assumptions and Statistical Analysis
Regression analysis is an assessment of the residuals which are characterized as
the difference between the dependent variable observed value and predicted value.
Therefore before assessing the outcomes in a multiple linear regression model the
assumptions of normality, linearity, multicollinearity, and homoscedasticity must be met.
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This means the residuals must be close to normally distributed, be independent of each
other, and have a constant variance (Warner, 2013). To account for any violations of the
assumptions during the regression analysis bootstrapping was applied to estimate
distributions in the sample. Bootstrapping involves resampling the data set of the studied
population to create multiple new samples from the original sample population. The new
samples served as a proxy for the total population based on the assumption that the
sample data accurately reflected the total population. The outcome produced confidence
intervals and the normalization of the sample to combat any assumption violations (Frost,
n.d.). Following the validation of the assumptions I used multiple linear regression testing
and inferential statistics to inform the conclusions.
Hypothesis 1
H01: There is no statistically significant relationship between gun ownership and
exposure to gun policy imaging in predicting attitudes on Virginia state gun laws.
To evaluate Hypothesis 1 with a multiple linear regression model SPSS v27 was
used to determine if there was a statistically significant relationship between gun owner
and non-gun owner attitudes and exposure to policy image factors in predicting
Virginians’ attitudes on state gun control laws. The assumption of normality was not
violated. This assumes the residuals were distributed normally as evidenced by the
histogram for the dependent variable Gun Control Composite which depicted a normal
distribution (see Figure 8). The assumption of linearity was not violated as the residual
points generally followed the line on the predicted probability plot (see Figure 9).
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Additionally the Cook’s distance was used to measure whether outlier data influenced the
slope. For Hypothesis 1 the Cook’s distance minimum value was .000 and the maximum
value was .075 which was below the threshold of .7915 and indicated that outliers should
not affect the results.
Figure 8
Hypothesis 1 Assumption of Normality Results
Figure 9
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Hypothesis 1 Assumption of Linearity Results
The assumption of multicollinearity was not violated as the Variance Inflation
Factor (VIF) was 1.215 which was less than 10 and indicated a low correlation between
the predictor variables (see Table 9). In this model the assumption of homoscedasticity
was violated as the scatterplot residuals fell into a fan-shaped pattern and two points were
outside the ± 3.0 range on the y axis which indicates heteroscedasticity (see Figure 10).
Table 9
Hypothesis 1 Assumption of Multicollinearity Results
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Figure 10
Hypothesis 1 Assumption of Homoscedasticity Results
To account for this homoscedasticity assumption violation a bootstrapping technique
called bias corrected accelerated (BCa) was conducted during the multiple linear
regression analysis to stabilize the parameter estimate variance by producing confidence
intervals to test the hypothesis (Frost, n.d.). The bootstrap in SPSS v27 consisted of 2,000
iterations of sampling to estimate the distribution.
For Hypothesis 1 the output of the multiple linear regression test was based on a
generally representative sample size (n = 192). The R square was used to show the
proportion of dependent variable variance explained by the predictor variables
collectively (Warner, 2013). The R2 = .639 with a statistical significance p < .001
indicated that 63.9% of the variability for Gun Control Composite was explained by Gun
Ownership and Policy Image Index (see Table 10).
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Table 10
Hypothesis 1 Model Summary Results
The outputs from the coefficient correlation (see Table 9) showed the predictor
variables were statistically significant p < .001 from zero. So they both had a statistically
significant effect on Gun Control Composite. The Part correlation coefficient for Gun
Ownership .165 and Policy Image Index -.640 indicated the unique contribution of each
variable (Warner, 2013). This demonstrated that Gun Ownership accounted for only 2.7%
(.165 x .165) of the variance in Gun Control Composite while Policy Image Index
uniquely accounted for 41% (-.640 x -.640) of the variance (see Table 9).
The bootstrapped coefficient (see Table 11) depicted the calculated confidence
interval with a significance level. The results for the estimated model exemplify how
much variance between Gun Control Composite and one predictor variable when the
other predictor was held constant. When the bootstrap confidence intervals do not cross
zero between the lower and upper bound they are assumed to be statistically significant
and align with the p-value (Frost, n.d.).
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Table 11
Hypothesis 1 Bootstrap Coefficient Results
Controlling for Policy Image Index, the regression coefficient for Gun Ownership
[β = .547, 95% C.I. (.234, .865) p = .002] suggests that with each one unit increase in
Gun Ownership, Gun Control Composite increases by approximately .547. The Part
correlation suggests that 97.3% of the variation in Gun Control Composite cannot be
explained by Gun Ownership alone.
Controlling for Gun Ownership, the regression coefficient for Policy Image Index
[β = -.261, 95% C.I. (-.300, -.227) p < .001] suggests that with each one unit increase in
Policy Image Index, Gun Control Composite decreases by approximately .261. The Part
correlation suggests that 59% of the variation in Gun Control Composite cannot be
explained by Policy Image Index alone.
The results of the multiple linear regression for Hypothesis 1 revealed Gun
Ownership and Policy Image Index to be statistically significant predictors to the model
(p < .05). Both of the predictor variables had a 95% confidence interval that did not
contain zero, which means the null hypothesis was rejected.
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Hypothesis 2
H02: There is no statistically significant relationship between gun ownership and
exposure to gun policy imaging in predicting attitudes on 2nd Amendment Sanctuaries.
Hypothesis 2 was evaluated with a multiple linear regression model using SPSS
v27 to determine if there was a statistically significant relationship between gun owner
and non-gun owner attitudes and exposure to policy image factors in predicting
Virginians’ attitudes on 2nd Amendment Sanctuary resolutions. The assumption of
normality was not met. The residuals were not distributed normally as shown by the
histogram for the dependent variable 2nd Amendment Sanctuary (see Figure 11). This
violation lends itself to inaccurate results for the p-values and confidence intervals.
Bootstrapping was used to address the issue of non-normality and fit the data within a
linear model framework. The intent of bootstrapping was to simulate the sampling
distribution to enough instances whereby a normal distribution was approximated due to
the Central Limit Theorem (Pek et al., 2018). In SPSS v27, the bootstrap consisted of
2,000 iterations of sampling to estimate the distribution.
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Figure 11
Hypothesis 2 Assumption of Normality Results
The assumption of linearity was met as the residual points generally followed the
line on the predicted probability plot. Although there were some minor deviations overall
linearity was assumed (see Figure 12). Cook’s distance was reviewed and had a minimum
value of .000 and a maximum value of .107 which was below the threshold of .7915 for
this model which indicated that outliers should not affect the results. The assumption of
multicollinearity was met as the VIF of 1.215 was less than 10 and indicated low
correlation between the predictor variables (see Table 12). The assumption of
homoscedasticity was not met as the residuals depicted on the scatterplot (see Figure 13)
showed a clear pattern although no points were outside the ± 3.0 range. A bootstrap
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(BCa) was conducted to produce confidence intervals to correct for this assumption
violation and ensure statistically valid conclusions (Pek et al., 2018).
Figure 12
Hypothesis 2 Assumption of Linearity Results
Table 12
Hypothesis 2 Assumption of Multicollinearity Results
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Figure 13
Hypothesis 2 Assumption of Homoscedasticity Results
For Hypothesis 2 the multiple linear regression output was based on a generally
representative sample size (n = 192). The R square was used to show the proportion of
dependent variable variance explained by the predictor variables (Warner, 2013). The R2
= .225 with a statistical significance p < .001 indicated that 22.5% of the variability for
2nd Amendment Sanctuary was explained by Gun Ownership and Policy Image Index
collectively (see Table 13).
Table 13
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Hypothesis 2 Model Summary Results
The coefficient correlation (see Table 12) showed the predictor variables Gun
Ownership (p = .011) and Policy Image Index (p < .001) were statistically significant
from zero and therefore had a statistically significant contribution to 2nd Amendment
Sanctuary. The Part correlation coefficient for Gun Ownership -.165 and Policy Image
Index .334 indicated each variable’s unique contribution (Warner, 2013). This
demonstrated that Gun Ownership accounted for only 2.7% (-.165 x -.165) of the
variance in 2nd Amendment Sanctuary while Policy Image Index uniquely accounted for
11.2% (.334 x .334) of the variance (see Table 12).
The bootstrapped coefficient (see Table 14) shows the confidence interval and a
significance level. The results for the bootstrap model portray the amount of variance
between 2nd Amendment Sanctuary and one predictor variable when the other predictor
is held constant (Frost, n.d.).
Table 14
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Hypothesis 2 Bootstrap Coefficient Results
Controlling for Policy Image Index, the regression coefficient for Gun Ownership
[β = -.906, 95% C.I. (-1.633, -.177) p = .011] suggests that with each one unit increase in
Gun Ownership, 2nd Amendment Sanctuary decreases by approximately .906. The Part
correlation suggests that 97.3% of the variation in 2nd Amendment Sanctuary cannot be
explained by Gun Ownership alone.
Controlling for Gun Ownership, the regression coefficient for Policy Image Index
[β = .227, 95% C.I. (.136, .320) p < .001] suggests that with each one unit increase in
Policy Image Index, 2nd Amendment Sanctuary increases by approximately .227. The
Part correlation suggests that 88.8% of the variation in 2nd Amendment Sanctuary cannot
be explained by Policy Image Index alone.
The results of the multiple linear regression for Hypothesis 2 revealed Gun
Ownership and Policy Image Index to be statistically significant predictors to the model
(p < .05). Both of the predictor variables had a 95% confidence interval that did not
contain zero, which means the null hypothesis was rejected.
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Hypothesis 3
H03: Attitudes on Virginia state gun laws, exposure to gun policy imaging, gun
ownership, gender, race, and political affiliation are not statistically significant predictors
of attitudes on 2nd Amendment Sanctuaries.
Hypothesis 3 was assessed in SPSS v27 with a multiple linear regression model to
determine if there was a statistically significant relationship between gun owner and
nongun owner attitudes towards gun policies, exposure to policy image factors, gun
ownership, gender, race, and political affiliation in predicting Virginians’ attitudes on 2nd
Amendment Sanctuary resolutions. The assumption of normality was not met. The
residuals were not distributed normally with a slight positive tail as shown by the
histogram for the dependent variable Second Amendment Sanctuary (see Figure 14).
Bootstrapping in SPSS v27 of 2,000 iterations was used to ensure accurate results for the
p-values and confidence intervals.
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Figure 14
Hypothesis 3 Assumption of Normality Results
The assumption of linearity was met as the residual points generally followed the
line on the predicted probability plot. There were some minor deviations; however the
overall linearity was assumed (see Figure 15). The Cook’s distance minimum of .000 and
a maximum of .056 were below the .7915 threshold and signified that no outliers would
affect the analysis. The assumption of multicollinearity was met as the VIF for all six
variables was less than 10 which demonstrated a low correlation between the predictor
variables (see Table 15).
Figure 15
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Hypothesis 3 Assumption of Linearity Results
Table 15
Hypothesis 3 Assumption of Multicollinearity Results
The assumption of homoscedasticity was violated. The residuals of the scatterplot
(see Figure 16) depicted a pattern and overlap of some points even though no points were
outside the ± 3.0 range. To produce confidence intervals and ensure conclusions were
statistically valid a bootstrap was conducted to correct for heteroscedasticity (Pek et al.,
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2018).
Figure 16
Hypothesis 3 Assumption of Homoscedasticity Results
Table 16
Hypothesis 3 Model Summary Results
The multiple linear regression output for Hypothesis 3 was based on a generally
representative sample size (n = 192). The R square demonstrated the proportion of
dependent variable variance explained by the predictor variables (Warner, 2013). The R2
= .345 with a statistical significance p < .001 indicated that 34.5% of the variability for
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2nd Amendment Sanctuary was explained by the combined predictors and covariates (see
Table 16).
The coefficient correlation (see Table 15) showed the variables Gun Ownership (p
= .085), Policy Image Index (p = .812), Political Affiliation (p = .854) and Race (p =
.082) were not statistically significant from zero. The variables Gun Control Composite
(p < .001) and Gender (p < .001) had a statistically significant effect on the dependent
variable 2nd Amendment Sanctuary. The Part correlation coefficients (see Table 15)
demonstrated Gun Control Composite (-.292) had a unique contribution of 8.5% and
Gender (.211) uniquely contributed 4.5% to the variable 2nd Amendment Sanctuary
(Warner, 2013).
Table 17
Hypothesis 3 Bootstrap Coefficient Results
The bootstrapped coefficient (see Table 17) exemplified the confidence intervals
with a significance level. The results for the estimated model show the amount of
variance between 2nd Amendment Sanctuary and one predictor variable when the other
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predictor variables are held constant. For Hypothesis 3 the multiple linear regression
revealed the predictor variables Gun Ownership, Policy Image Index, Political Affiliation
and Race were not statistically significant (p < .05) predictors of the model. However, the
results of the multiple linear regression did indicate a statistically significant association
between Gun Control Composite and Gender as predictors of the model (Wood, 2005).
Controlling for Gender, the regression coefficient for Gun Control Composite
[β = -.851, 95% C.I. (-1.153, -.546) p < .001] suggests that with each one unit increase in
Gun Control Composite, 2nd Amendment Sanctuary decreases by approximately .851.
The Part correlation suggests that 91.5% of the variation in 2nd Amendment Sanctuary
cannot be explained by Gun Control Composite alone.
Controlling for Gun Control Composite, the regression coefficient for Gender
[β = 1.093, 95% C.I. (.529, 1.624) p < .001] suggests that with each one unit increase in
Gender, 2nd Amendment Sanctuary increases by approximately 1.093. The Part
correlation suggests that 95.5% of the variation in 2nd Amendment Sanctuary cannot be
explained by Gender alone.
The results of the multiple linear regression for Hypothesis 3 revealed Gun
Control Composite and Gender to be statistically significant predictors to the model (p <
.05). Both of the predictor variables had a 95% confidence interval that did not contain
zero, which means the null hypothesis was rejected.
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Summary
In this quantitative correlational cross-sectional research study the online survey
methodology was used to collect primary data from 192 Virginians over the age of 18
who had resided in Virginia for at least the last 2 years. The survey instrument consisted
of 25 questions designed to address three research questions on gun owner and non-gun
owner attitudes towards state level gun control policies, 2nd Amendment Sanctuary
resolutions, and exposure to policy imaging. Demographics were collected and provided
a description of the sample population that demonstrated the general representativeness
of the sample to the total population.
In this study multiple linear regression analysis was used to answer the research
questions. Both confidence intervals and p-values were assessed to determine if the
observed difference aligned to the predicted difference in the total population. To increase
statistical precision and mitigate assumption violations bootstrapping was implemented to
decrease variability and increase observations. For the three research questions
confidence intervals and p-values were used to demonstrate the probable effect within the
population parameter and indicate whether or not the observed data matched the null
hypothesis (Ranstam, 2012).
RQ1: What is the relationship of gun ownership and exposure to gun policy
imaging in predicting attitudes on Virginia state gun laws?
RQ2: What is the relationship of gun ownership and exposure to gun policy
imaging in predicting attitudes on 2nd Amendment Sanctuaries?
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RQ3: Do attitudes on Virginia state gun laws, exposure to gun policy imaging,
gun ownership, gender, race, and political affiliation predict attitudes on 2nd Amendment
Sanctuaries?
The RQ1, RQ2, and RQ3 assessment of the confidence intervals indicated the
independent variables were a statistically significant predictor of the outcome. Therefore
the null hypothesis for all three questions was rejected. The findings for RQ1 and RQ2
demonstrated a statistically significant relationship between gun ownership and exposure
to gun policy imaging in predicting both attitudes on Virginia state gun laws and attitudes
on 2nd Amendment Sanctuaries. The RQ3 findings indicated two of the independent
variables, attitudes on gun control and gender, were a statistically significant predictor of
attitudes on 2nd Amendment Sanctuaries.
The next chapter provides an overview, exploration, and interpretation of the
outcomes of this research study. A thorough analysis of the findings is presented within
the context of Baumgartner and Jones’ theory on punctuated equilibrium coupled with
descriptions of any limitations to the research. Chapter 5 provides recommendations for
further research and a detailed assessment of the implications for positive social change.
The chapter concludes with a synopsis of the key elements captured in the study.
Chapter 5: Discussion, Conclusions, and Recommendations
Introduction
The purpose of this quantitative nonexperimental cross-sectional correlational
research study was to examine Virginia gun owner and non-gun owner attitudes on gun
policy and 2nd Amendment Sanctuary. Gun violence is a national epidemic in the United
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States. I designed this study to enhance the understanding of the conflict between
divergent views that influence gun policy initiatives at the state and local levels.
In 2019 and 2020, a noted disparity existed between the exponential increase in
2nd Amendment Sanctuary resolutions in Virginia and the enactment of state-level gun
legislation. This research assessed the attitudes of gun owners and non-gun owners
regarding both initiatives and the effect of various gun policy images on those attitudes.
The overall findings showed there was a statistically significant relationship between gun
ownership and policy image in predicting Virginians’ attitudes toward gun control and
2nd Amendment Sanctuary resolutions. Additionally, the study findings indicated that
attitudes on gun control and gender were statistically significant predictors of attitudes on
2nd Amendment Sanctuary resolutions.
In this final chapter, I discuss a summary of the three research questions findings
and how they relate to the theoretical framework. Next, I provide a synopsis of the study
limitations and recommendations for further research on this topic. I conclude with an
analysis of the implications for positive social change followed by a summation of the
study’s chief elements.
Interpretation of Findings
The participants in this research study (n = 192) consisted of Virginians older than
18 years who had resided in Virginia since at least November 1, 2018. With the exception
of the race demographic, the sample population was generally representative of the total
population of Virginia in 2020. Gender for the sample population was on par and evenly
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split between males (50.5%) and females (49.5%). Political affiliation aligned with the
baseline national party affiliation data in the United States at 41.1% Democrat, 24.5%
Republican, and 34.4% Independent, no preference, or other. Gun ownership also
matched proxy data for Virginia with 39.6% of study participants owning a gun and
60.4% not owning a firearm.
I examined the descriptive statistics for the dependent and independent variables,
which provided general observations about the data set. The central tendency, standard
deviation, and distribution symmetry allowed for a comparison summary for all 192
respondents. A cross-tabulation of the variables gun ownership and 2nd Amendment
Sanctuary disclosed that 54.7% of participants in this study did not agree with enacting
2nd Amendment Sanctuary resolutions. A total of 8.8% of respondents neither agreed nor
disagreed, and 36.5% agreed. The results demonstrated that the majority of constituents
did not support local jurisdictions enacting 2nd Amendment Sanctuary resolutions. This
statistic directly contradicted the local government actions in Virginia where more than
95% of counties enacted 2nd Amendment Sanctuaries in 2019 to 2020. Although gun
owners (55%) were overall more supportive of enacting resolutions than non-gun owners
(24.1%), an apparent disconnect exists between constituent support and action by local
governments on 2nd Amendment Sanctuary resolutions.
Some of the findings from this research confirmed certain aspects presented in
previous literature. Specifically, gun owners and non-gun owners strongly support some
forms of gun control, although they disagree on others. As noted by Parker et al. (2017)
and Barry et al. (2018) and evidenced in this research, universal background checks to
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purchase a firearm, prohibiting persons with a protective order from purchasing a
firearm, extreme risk protective orders or red flag laws, and requiring tests or permits for
concealed carry of a firearm are overwhelmingly supported by gun owners and non-gun
owners alike. Conversely, bans for assault weapons and magazines, laws that limit
firearm purchases to one gun a month, and laws that prohibit the carrying of firearms in
certain sensitive areas were not supported by gun owners but were strongly endorsed by
non-gun owners. All three studies validated that gun owners and non-gun owners do
agree on some forms of gun control.
In this study, I used multiple linear regression to statistically test hypotheses and
answer the research questions. This testing procedure required an assessment of four
assumptions: normality, linearity, multicollinearity, and homoscedasticity. Due to the
violation of the normality and homoscedasticity assumptions for multiple linear
regression, I conducted a bootstrap of the data to estimate the distributions in the sample.
I then tested the hypotheses for the three research questions based on the bootstrap to
produce confidence interval results. I used inferential statistics to assess the results from
the linear regression. An interpretation of the findings for the three research questions and
an overall synopsis of the study outcomes follow.
The first research question in this study queried whether gun ownership and
exposure to gun policy imaging had a statistically significant relationship in predicting
attitudes on Virginia state gun laws. The results of the data analysis indicated that with a
95% confidence interval (CI), both gun ownership and exposure to gun policy imaging
were statistically significant predictors (p < .05) of Virginians’ gun control attitudes.
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The second research question in this study queried whether gun ownership and
exposure to gun policy imaging had any relationship in predicting attitudes on 2nd
Amendment Sanctuaries. The data analysis results demonstrated that with a 95% CI, both
gun ownership and exposure to gun policy imaging were statistically significant
predictors (p < .05) of Virginians’ attitudes on 2nd Amendment Sanctuary resolutions.
This study’s third research question queried whether attitudes on Virginia state
gun laws, exposure to gun policy imaging, gun ownership, gender, race, and political
affiliation predicted attitudes on 2nd Amendment Sanctuaries. The data analysis results
exemplified with a 95% CI that gun control attitudes and gender were statistically
significant predictors (p < .05) of Virginians’ attitudes on 2nd Amendment Sanctuary
resolutions.
The combined findings of the research analysis illustrated several points. First, in
Virginia in 2019 and 2020, a divide existed between constituent views on gun policy and
local jurisdiction gun policy initiatives. More than half of the participants in the study
(54.7%) indicated a lack of general support for 2nd Amendment Sanctuary resolutions,
which contrasts with the fact that more than 95% of local county governments enacted a
2nd Amendment Sanctuary resolution during that period. Although gun owners (55.3%)
were more likely to support 2nd Amendment Sanctuary resolutions, they represent only
approximately 39.6% of the constituency. In analyzing the results, it could be inferred
that actions taken by local governments may be influenced by a vocal and involved
minority and therefore do not accurately reflect the attitudes of the majority of the
constituency.
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Second, the research participants reaffirmed that gun owners overwhelmingly
support some forms of gun control. Specifically, five of the seven gun control laws
passed in Virginia in 2020 were strongly supported by gun owners in this study; universal
background checks (71%), legal protective orders (78%), reckless endangerment of a
minor (74%), reporting lost or stolen firearms (74%), and ERPO/red flag laws (68%). In
assessing the outcomes from this research, it is clear that although gun control as a whole
is a contentious topic of debate, specific gun control measures hold strong appeal for both
gun owners and non-gun owners.
Third, Virginians’ attitudes on gun control and 2nd Amendment Sanctuaries are
predicted by both gun ownership and exposure to gun policy imaging. Specifically, gun
ownership and exposure to gun policy imaging combined account for 63.9% of the
variability in gun control attitudes (R2 = .639, p < .001) and 22.5% of the variability in
attitudes on 2nd Amendment Sanctuaries (R2 = .225, p < .001). Additionally, attitudes on
gun control and gender were also strong predictors of attitudes on 2nd Amendment
Sanctuary resolutions. Combined, they accounted for 32.2% of the variability in attitudes
on 2nd Amendment Sanctuaries (R2 = .322, p < .001). In interpreting these results, it is clear
that several factors contribute in varying degrees to predicting Virginians’ attitudes on gun
control and 2nd Amendment Sanctuaries.
This research contributed to the extensive body of knowledge on gun policy. It
demonstrated that local policy initiatives, such as 2nd Amendment Sanctuary resolutions,
do not necessarily represent the attitudes of the majority of the constituency. Additionally,
the outcomes provided information that supported previous studies on attitudes towards
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gun policy. This research expanded the body of knowledge by providing information on
an area not previously studied. Specifically, it measured gun owner and non-gun owner
attitudes regarding the rapidly growing 2nd Amendment Sanctuary movement, along with
an analysis of factors such as views on gun control, gun policy image and gender that
contribute to those attitudes.
Interpretation of the Theoretical Foundation
Baumgartner and Jones’ theory of punctuated equilibrium was the theoretical
foundation for this study. PET is based on the premise that public policy is the result of
sporadic or fragmented activity that interrupts the status quo. I used the elements of PET
to understand the mechanisms that influence gun policy initiatives at the state and local
levels in Virginia. The policy debate and activity on gun policy in Virginia between 2019
and 2020 is similar to the national level gun policy debate. Both typify PET through the
analysis of gun policy images, engaged interest groups, and political actors. Within the
context of PET, state and local gun policy initiatives are exemplified by intermittent
action that interrupt a routine stable policy period (Baumgartner & Jones, 2009).
For the past 25 years, gun policy in Virginia was characterized by stability. The
existing political institutions and unwavering definition of the gun control debate resulted
in no significant gun policy action at the state or local level. That changed when the
political sub-systems at both the state and local levels in Virginia were overwhelmed by
pressure from outside the establishment. Each of these changes was characterized by the
re-imaging of the issue by advocates. The result was agenda prioritization for gun policy
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followed by a return to the status quo once the policy was implemented and public
attention waned.
At the state level high-profile incidents of gun violence coupled with increased
engagement resulted in a policy image promoting a prioritization for gun control
legislation. The result was a change in political actors and a shift in agenda setting. In the
first three months of 2020, the Virginia legislature passed seven new gun control laws,
more than the previous 25 years combined. The results of this study demonstrated that
policy image did affect attitudes towards gun control policy. Both gun owners and
nongun owners strongly supported five of the seven gun laws passed by the Virginia
General Assembly in 2020. The re-imaging of the debate focused on safety, increased
engagement by interest groups, and a shift in political actors epitomizes PET and the
disruption to the status quo by the sporadic development of state level gun control policy.
The threat of gun control laws due to policy re-imaging, increased engagement,
and a shift in political actors at the state level resulted in a counter-movement. Amplified
local advocacy and a policy image focused on protecting individual rights and freedoms
led to a punctuation in the status quo at the local level. The results were a political
tsunami of 2nd Amendment Sanctuary resolutions at the local level where over 95% of
local county governments enacted a 2nd Amendment Sanctuary resolution between
November 2019 and February 2020. The results of this study demonstrated that policy
image did affect attitudes towards 2nd Amendment Sanctuary. Based on the fact that
more than half of the study participants (54.7%) indicated a lack of general support for
2nd Amendment Sanctuary resolutions, I concluded that gun policy images, pressure
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from outside the establishment, and actions by the previously apathetic led to the
disruptive policy activity at the local level.
PET characterizes public policy as generally stable periods defined by the
inherent rules that constrain change. This characterization is coupled with the emotional
and cognitive restrictions of the actors involved. The sporadic events that interrupt that
stability are driven by challenges to those constraints and restrictions. The Virginia gun
policy landscape in 2019 and 2020 encompassed the elements of punctuated demands for
change at the state and local levels followed by a return to a level of low engagement on
the issue. Gun owner and non-gun owner perspectives on gun control policy and 2nd
Amendment Sanctuary resolutions embody challenges to the restrictions of the status quo
at the state and local levels. In Virginia gun policy exemplified PET through complex
issue re-definition, competing policy images, increased advocacy engagement, and
shifting political institutions. This study showed that punctuated equilibrium not only
encapsulates the national gun policy debate. The tenets of PET clearly reflect the
dynamics of state and local gun policy development in Virginia (True & Utter, 2002).
Limitations of the Study
To significantly contribute to the literature on gun policy, it is essential to
recognize the limitations of this study and how they may affect the outcome. The
research design, sampling procedure, and survey instrument all presented varying degrees
of limitation to the research. The correlational cross-sectional design had two limiting
factors. The correlational design meant there was no ability to determine causation. The
123
study was able to determine the existence of a relationship between the dependent and
independent variables. While an experimental approach would be needed to determine
any causation, the results of this correlational study were very informative in
understanding that gun ownership is a predictor of attitudes on gun control policy and
2nd Amendment Sanctuary. Additionally, the cross-sectional approach provided a
snapshot in time of gun owner and non-gun owner attitudes. To better understand the
effects of policy image on those attitudes it would be necessary to measure the influence
of policy images and gun owner and non-gun owner attitudes at different points in time
with a longitudinal study. This would illuminate any patterns or changes in participant
attitudes related to policy image and gun ownership not apparent in a cross-sectional
approach.
The sampling procedure was another limitation of this study. The sample
population was derived from a SurveyMonkey panel. This provided a pre-screened group
that met the inclusion criteria and exceeded the minimum required sample with a very
high 93% response rate. However, the lack of a truly random sample population and use
of proxy baseline demographics affected the representativeness of the sample population
and the generalizability of the results. Although gender, gun ownership, and political
affiliation were relatively aligned to the total population of Virginia, the approximation of
the baseline for gun ownership and political affiliation affected data precision. The race
demographic of the sample population was significantly skewed and therefore limited the
accuracy of the outcome regarding that variable. Despite the limitations of nonrandom
sampling the research was able to provide a generalizable approximation of Virginia gun
124
owner and non-gun owner attitudes on gun control policy and 2nd Amendment Sanctuary
resolutions.
The survey instrument also presented some limitations to the study. The survey
was designed to provide scale responses on attitudes. However, the survey format limited
the quality and content of information that was collected. The development of an index
and composite score limited the assessment of specific individual variables. While a pilot
study was conducted to determine an appropriate means for assessing the influence of
policy image, developing a different method for assessing policy image may provide
more robust data for analysis of gun owner and non-gun owner attitudes. Additionally,
the self-report nature and contentious topic presented a potential for social desirability
bias in the responses. Overall these limitations did not detract from the validity and
reliability of the data gathered and assessed in this research study.
Recommendations for Further Research
My research study contributed to the body of knowledge on gun violence and gun
control policy by assessing attitudes on 2nd Amendment Sanctuaries, an area not
previously addressed in the literature. However, the limitations of the study highlight
avenues for consideration in future research studies. First, a qualitative approach to the
study design would enhance this research by providing additional insights into the
attitudes of gun owners and non-gun owners. A phenomenological approach designed to
explore the lived experiences of the sample population might provide evidence of a
causal relationship. Interviewing participants would accumulate a depth and breadth of
125
understanding on the predictors of attitudes on gun control policy and 2nd Amendment
Sanctuaries not likely in an online survey.
Second, to generalize the findings an in-depth exploration of sample populations
outside of Virginia would be beneficial. The literature referenced other states within the
United States, such as Illinois, Colorado, New Mexico, Nevada, Kansas, and Alaska who
have a large 2nd Amendment Sanctuary movement. By replicating this study with an
analysis of gun owner and non-gun owner attitudes in different states, more
generalizability to the findings would be feasible. Additionally, assessing differing
demographic characteristics may also enhance the understanding of the attitudes of gun
owners and non-gun owners. Factoring in parameters such as regional locations or rural
vs. urban settings may expand the knowledge. Or an in-depth assessment of race,
education level, or income may demonstrate other predictors of attitudes on gun policy
and 2nd Amendment Sanctuary movements.
Third, the survey instrument limited the data collected and applicable analysis.
The attitudes on gun control were combined into one composite score and the attitudes on
policy image were combined into an index score. A more comprehensive survey
instrument could be designed for future research that assesses the specific influence of
individual factors on attitudes. The research findings in this study supported the literature
reviewed. Some gun control policies are more widely supported by both gun owners and
non-gun owners. By assessing specific gun policies or gun policy images this approach
would enable researchers to pinpoint what factors directly predict attitudes on gun control
and 2nd Amendment Sanctuaries.
126
A final recommendation to gather wide-ranging data for analysis would be to
conduct a longitudinal study that assesses gun owner and non-gun owner attitudes over
time. The participant responses in this study were self-reported attitudes and therefore
potentially driven by social bias or environmental influences such as news cycles or
societal events. A longitudinal approach might remove some of this bias or influence by
assessing the attitudes of the sample population and how they change over time.
Additionally, this type of approach could factor in the applicability of PET to the
changing political and societal landscape on gun policy and 2nd Amendment Sanctuaries.
Specifically assessing the awareness and support of 2nd Amendment Sanctuaries within
the gun policy debate. This would provide enhanced insights and understanding on
factors that influence gun policy development at the state and local levels in the United
States.
Implications for Positive Social Change
The findings from my research study promote positive social change for society
by providing useful insights into gun control policy development in Virginia and
elsewhere in the United States. The outcomes could be beneficial to policymakers, gun
policy advocacy groups, and the general public. Public policy development often
involves an assessment of public preferences. All groups involved must process
environmental signals to determine their strategies and how they can affect the
policymaking process. As outlined in PET, public policy decisions of both government
institutions and individuals are influenced by their bounded rationality and limited
attention spans on the issues (True et al., 2006).
127
This study found that gun ownership and gun policy image are predictors of
attitudes on gun control and 2nd Amendment Sanctuaries. The significance of these
findings and implications for positive social change are inherent in providing a better
understanding of the multifaceted nuances surrounding the development of gun policy.
For policymakers knowing constituents’ perspectives on gun control policy will ensure
legislative initiatives at the state and local levels align with public sentiment. For groups
advocating gun rights or gun control, characterizing their message through the strength
and accumulation of external signals can overcome any inherent resistance built into the
political system (Baumgartner & Jones, 2009). For the general public recognizing the
dichotomy between state and local initiatives provides a broad understanding of the issue
and an informed base upon which to debate and act.
Gun violence is an epidemic affecting individuals and communities throughout
the United States. The attitudes of gun owners and non-gun owners reflect the complexity
involved in establishing gun policy that balances the requirements to protect individual
rights and ensure public safety. Implementing change based on a perceived notion of
public support can lead to ineffective, contradictory, and unpopular policy. To mitigate
gun violence it is necessary to understand all perspectives regarding gun control and 2nd
Amendment Sanctuary and the influence of policy image on those attitudes. Assessing
perspectives from both sides of the issue highlights commonalities that can be used to
build trust. It also highlights gaps and potential areas for compromise. Systemic social
change is needed to address the gun violence problem in America. The findings from this
research provide stakeholders in the gun policy debate with a foundation for developing
128
strategies for establishing comprehensive gun policy. The outcome would be positive
social change aimed at mitigating gun violence at the state and local levels.
Conclusion
Gun violence is prevalent in the United States and accounts for over 35,000
deaths every year. Additionally, there are approximately seven nonfatal shootings for
every homicide that involves a gun (Cukier & Eagen, 2018). There are numerous
contributing factors to the gun violence problem and no single solution can address them
all. To mitigate this problem it is imperative that multiple avenues be explored to develop
comprehensive and effective solutions that balance the need to protect the public with the
requirement to ensure Constitutional rights.
The purpose of this research study was to examine Virginia gun owner and
nongun owner attitudes on gun policy and enhance the understanding of the conflict
between divergent views that influence gun policy initiatives at the state and local levels.
Previous research illustrated the relationship between gun ownership and some forms of
gun control. However, through the underpinnings of PET, this research demonstrated the
environmental influence on gun policy at the state and local levels. Specifically, years of
status quo were upended by an episodic period of activity triggered by a combination of
gun policy re-imaging, engaged interest groups, and shifting political actors. The findings
of this study demonstrated gun ownership and policy image were both significant factors
in predicting attitudes on gun control policy and 2nd Amendment Sanctuary.
The significance of this research is that it enhances the body of existing
knowledge. It aids policymakers, advocacy groups, and the general public in expanding
129
their understanding of this complex narrative so that they can collaboratively develop
strategies for addressing gun violence. Ultimately gun policy that encompasses a
multilayered approach incorporating the various aspects of the problem can meet the
requirements to both protect individual rights and ensure public safety.
130
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