Chapter 2 of Dissertation Proposal
THE INFLUENCE OF CROSS-CULTURAL EXPERIENCE
ON STUDENT LEADERSHIP CAPACITY DEVELOPMENT
AND ACADEMIC ACHIEVEMENT
Submitted by
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A Dissertation Presented in Partial Fulfillment
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Doctorate of Education
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(or) Doctorate of Business Administration
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Grand Canyon University
Phoenix, Arizona
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GRAND CANYON UNIVERSITY
THE INFLUENCE OF CROSS-CULTURAL EXPERIENCE
ON STUDENT LEADERSHIP CAPACITY DEVELOPMENT
AND ACADEMIC ACHIEVEMENT
by
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DISSERTATION COMMITTEE:
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Michael R. Berger, Ed.D.
Dean, College of Doctoral Studies
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Date
GRAND CANYON UNIVERSITY
The Dissertation Title Appears in Title Case and is Centered
I verify that my dissertationrepresents original research, is not falsified or plagiarized, and that I accurately reported, cited, and referenced all sources within this manuscript in strict compliance with APA and Grand Canyon University(GCU) guidelines. I also verify my dissertation complies with the approval(s) granted for this research investigation by GCU Institutional Review Board (IRB).
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Abstract
The abstract is required for the dissertation manuscript only. It is not a required page for the proposal.The abstract, typically read first by other researchers, isintended as an accurate, nonevaluative, concise summary, or synopsis of the research study. It is usually the last item completed when writing the dissertation. The purpose of the abstract is to assist future researchers in accessing the research material and other vital information contained in the dissertation. Although few people typically read the full dissertation after publication, the abstract will be read by many scholars and researchers. Consequently, great care must be taken in writing this page of the dissertation. The content of the abstract coversthe purpose of the study, problem statement, theoretical foundation, research questions stated in narrative format, sample, location, methodology, design, data sources, data analysis, results, and a valid conclusion of the research. The most important finding(s) should be stated with actual data/numbers (quantitative) or themes (qualitative) to support the conclusion(s).The abstract does not appear in the table of contents and has no page number. The abstract is double-spaced, fully justified with no indentations or citations, and no longer than one page. Refer to the APA Publication Manual, 6th Edition, for additional guidelines for the development of the dissertation abstract. Make sure to add the keywords at the bottom of the abstract to assist future researchers.
Keywords: Abstract, assist future researchers, 150 to 250 words, vital information
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ABSTRACT (Dissertation Only—Not Required for the Proposal) The abstract is typically read first by other researchers and is an accurate, non-evaluative, concise summary or synopsis of the research study. The abstract provides a succinct summary of the study and MUST include the purpose of the study, theoretical foundation, research questions (stated in narrative format), sample, location, methodology, design, data analysis, and results, as well as, a valid conclusion of the research. Abstracts must be double-spaced, fully justified with no indentions. (one page) |
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The abstract provides a succinct summary of the study and MUST include:the purpose of the study, theoretical foundation, research questions stated in narrative format, sample, location, methodology, design, data sources, data analysis, results, and a valid conclusion of the research. Note: The most important finding(s) should be stated with actual data/numbers (quantitative) ~or~ themes (qualitative) to support the conclusion(s). |
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The abstract is written in APA format, one paragraph fully justified with no indentations, double-spaced with no citations, and includes key search words. Keywords are on a new line and indented. |
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The abstract is written in a way that is well structured, has a logical flow, uses correct paragraph structure, uses correct sentence structure, uses correct punctuation, and uses correct APA format. |
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Dedication
An optional dedication may be included here. While a dissertation is an objective, scientific document, this is the place to use the first person and to be subjective. The dedication page is numberedwith a Roman numeral, but the page numberdoes not appear in the Table of Contents. It is only included in the final dissertation and is not part of the proposal. If this page is not to be included, delete the heading, the body text, and the page break below.
Acknowledgments
An optional acknowledgementspage can be included here. This is another place to use the first person. If applicable, acknowledge and identify grants and other means of financial support. Also acknowledge supportive colleagues who rendered assistance. The acknowledgments page is numbered with a Roman numeral, but the page numberdoes not appear in the table of contents. This pageprovides a formal opportunity to thank family, friends, and faculty members who have been helpful and supportive. The acknowledgements page is only included in the final dissertation and is not part of the proposal. If this page is not to be included, delete the heading, the body text, and the page break below.
Table of Contents
List of Tables xi
List of Figures xii
Chapter 1: Introduction to the Study 1
Introduction 1
Background of the Study 1
Problem Statement 5
Purpose of the Study 8
Research Questions and/or Hypotheses 10
Advancing Scientific Knowledge and Significance of the Study 11
Rationale for Methodology 12
Nature of the Research Design for the Study 13
Definition of Terms 18
Assumptions, Limitations, Delimitations 19
Summary and Organization of the Remainder of the Study 20
Chapter 2: Literature Review 21
Introductionto the Chapter and Background to the Problem 21
Identification of the Gap 23
Theoretical Foundations and/or Conceptual Framework 25
Review of the Literature 27
Methodology and instrumentation/data sources/research materials 31
Summary 34
Chapter 3: Methodology 37
Introduction 37
Statement of the Problem 38
Research Questionsand/orHypotheses 39
Research Methodology 40
Research Design 42
Population and Sample Selection 43
Quantitative sample size 43
Qualitative sample size 45
Research Materials, Instrumentation ORSources of Data 49
Trustworthiness (for Qualitative Studies) 53
Credibility. 53
Transferability 54
Dependability. 55
Confirmability. 55
Validity (for Quantitative Studies) 58
Reliability(for Quantitative Studies) 59
Data Collection and Management 60
Data Analysis Procedures 63
Ethical Considerations 66
Limitations and Delimitations 69
Summary 70
References 72
Appendix A. Site Authorization Letter(s) 76
Appendix B. IRB Approval Letter 77
Appendix C. Informed Consent 78
Appendix D. Copy of Instruments and Permissions Letters to Use the Instruments 79
Appendix E. Power Analyses for Sample Size Calculation (Quantitative Only) 80
Appendix F. Additional Appendices 81
List of Tables
Table 1. Correct Formatting for a Multiple Line Table Title is Single Spacing and Should Look Like this Example 36
Table 2. Equality of Emotional Intelligence Mean Scores by Gender 66
Note: Single space multiple-line table titles; double space between entries per example above. The List of Tables and List of Figures (styled as Table of Figures) have been formatted as such in this template.Update the List of Tables in the following manner: [Right click Update Field Update Entire Table], and the table title and subtitle will show up with the in-text formatting.After you update your List of Tables, you will need to manually remove the italicsfrom each of your table titles per the example above.
List of Figures
Figure 1. Correlation for SAT composite score and time spent on Facebook. 69
Figure 2. IRB alert. 73
Note: single-space multiple line figure titles; double-space between entries per example in List of Tables on previous page. Use sentence case for figure titles. After you update your List of Figures, you will need to manually remove the italics per the example above.
Chapter 1: Introduction to the Study
Introduction
This chapter introduces the study by including a background study of the issue under discussion and discusses the statement of the problem. In addition, it discusses the purpose of the study and its significance, lists the research questions, and discusses the rationale for research methodology. It also includes the nature of the research design, the definition of terms, and the study's assumptions and limitations. It concludes with a summary of the chapter and the remaining parts of the study.
Background of the Study
From the beginning, the United States education system was not developed for all races; African Americans were initially alienated from formal education. When they were finally allowed to access formal education, it was through segregated and inadequate means. Indian Natives and other minorities also experienced such segregation in education. Early in the United States history, women could only access basic education and were discouraged to seek advanced education unless it focused on domestic arts, music, and dancing. Even this was applicable to those of upper-class members of the society. When the government finally decided to offer education to Native Americans, formal education meant transporting learners to boarding institutions to erase their cultural beliefs and practices (Urban, Wagoner & Gaither, 2019).
The government forcibly removed children from their families and forced them to abandon their native language. White learners also experienced discrimination in the country's education system. For instance, in the early 19th century, the government established common schools for all students irrespective of social class. This universality of common learning institutions excluded African Americans and white children who believed in strange religious beliefs including Irish Catholics. With time, the purpose of the American education system was to socialize immigrants into the country's 'superior' culture. While inequality could be less overt in the current educational system, it still exists in many learning institutions. African American students still lag behind their White colleagues on all standard measures of success or achievement. They are more likely to drop out of and be suspended from schools compared to their White counterparts. Apart from African Americans, other minority groups also experience such inequality in learning institutions (Urban, Wagoner & Gaither, 2019). According to Jackson and Addison (2018), students in high-poverty learning institutions had lower achievement in math compared to those in low-poverty schools. Moreover, Miksic (2014) found achievement gaps in math and reading between Latino students and their white counterparts.
Communities are becoming culturally diverse and soon the increase in immigrant numbers will result in the minority groups in the United States. The rapid change in the United States demographics is evident in schools. Goddard (2010) asserted that urban learning institutions in the 21st century western countries deal with more ethnocultural diverse students than ever before. Grothaus, Crum, and James (2010), in their support, indicated that students of color will account for a bigger percentage of the United States' total student population in 2020. These changes in demography have already happened in some areas in the United States. Currently, minority students constitute the biggest percentage of learners in the southern part of the country.
These demographic changes imply that the United States must start offering equal education to all children if it aspires to change the existing inequality in society. To so, schools and educators must understand that learning institutions reflect the country's dominant culture, which can put learners from other cultures at disadvantage. Generally, white, middle-class values are considered the dominant culture in the United States. It also includes values held by the male, non-disabled, as well as heterosexual persons. Diller and Moule (2012) discussed the values held by members from dominant groups. They include an emphasis on long-term goal setting, belief in internal locus of control, and self-disclosure. It is the consideration of these values as the dominant ones and differing values as the inferior ones that lead to differences in leadership performance and academic achievement between white students and those from minority groups.
The answer to the problem is the development of culturally competent students and teachers. Culturally competent individuals strive at understanding their own biases as well as patterns of discrimination. Diller and Moule (2012) define cultural competence as a set of congruent attitudes and beliefs that converge in a system or agency and enable that agency or system to operate effectively in a cross-cultural environment. Thus, culturally competent individuals can function successfully with those from different cultural backgrounds such as race, culture, gender, sexual orientation, religious orientation, or culture. Being culturally competent is a daunting task because culture manifests itself in visible and hidden manners. Visible aspects such as clothing, food, and artifacts are obvious as well as easy to understand compared to hidden cultural elements such as beliefs and values (Kochan, 2012). Cultural competence comprises the knowledge, skills, behaviors, and attitudes that are vital for students to respond to other people's needs. The ability of a student to operate in a cross-cultural environment is an asset.
The current lack of studies on cross-cultural competence among learners is a matter of great concern. It is high time that researchers looked for ways to customize curricular and co-curricular activities to promote student leadership in culturally diverse learning institutions (Boberg & Borgeois, 2016). Cultural competence empowers students to commence a lifelong commitment to self-critique as well as self-awareness. Cultural awareness allows students to assess their multicultural backgrounds, to assess determinants of prejudice, and to acknowledge their inherent power as well as privilege. It also allows students to use this awareness to mitigate discriminatory practices for equity. Moreover, cultural competence empowers students to assess and critique power structures as well as imbalance in society. In doing so, learners develop an awareness of their society as individuals and their abilities in collaborative spaces. Third, cultural competence equips learners with the ability to establish mutually beneficial relationships with individuals. Student's awareness of cross-cultural differences also enhances their communication and leadership capabilities (Diller & Moule, 2012). In essence, developing intercultural knowledge allows students to improve their ability to engage and interact with diverse groups.
Apart from leadership skills, results from past studies show that promoting cultural competence enhances students' academic performance (Triggs, 2021). Many researchers have studied the differences in academic achievement existing between White American students and those from racial minority groups and provided possible reasons for the gap. One major explanation for the difference in academic achievement among students from different racial backgrounds is the dissonance between the culture of the home of minority students and the culture of learning institutions (Miksic, 2012). American schools, like other social systems, reflect the dominant culture's values and beliefs. Thus, the United States' education system reflects the values of white, middle-class Americans. While the system seeks to benefit many students, it does not benefit all learners. Many students do not grow up in the white, middle-class culture thereby not benefiting in schools.
Many researchers have studied diversity issues among learners in culturally diverse k-12 schools. However, most of these studies that focus on leadership in culturally diverse k-12 learning institutions have concentrated on leadership concerning school heads and administrators, educational stakeholders, and teachers instead of leadership issues among students in culturally diverse k-12 learning institutions (Genao, 2016). Only a limited number of studies have explored the impacts of cross-cultural factors on learners' leadership development and academic performance (Bartel-Radic & Giannelloni, 2017).
Problem Statement
It is not known how cross-cultural experience influences students' leadership capacity development and academic achievement. There is no clear information about the correlation between cross-cultural curricular and co-curricular activities, as well as student leadership and academic performance. Nonetheless, co-curricular and curricular activities tend to influence a learner's leadership behaviors as well as academic performance in diverse k-12 schools. This study will focus on students in a high school in central florida, with the sample of 16 -24 teachers who provide data including girls and boys from different grade levels. The preferred learning institutions are those offering cross-cultural enrichment programs including, summer and winter exchange programs as well as immersion programs.
Many studies have not explored the issue of cultural competence among students (Litts et al., 2020). Boberg and Borgeois (2016) admit the lack of focus by researchers on cultural competencies among learners, and how curricular as well as co-curricular activities can be customized to foster student leadership in culturally diverse learning institutions. Engagement gaps, including the inequality and alienation among foreign as well as minority learners, have only been examined within administrative leadership (Mawhinney, 2018).
With the demographic make-up of the United States quickly changing and minority learners are becoming the majority in learning institutions (Grothaus, Crumm & James, 2010), there is a need to focus on cross-cultural competence among students. Multiple researches have demonstrated the difference in academic achievement and leadership development between white American students and their counterparts from minority groups (Miksic, 2012). This issue becomes more important in the face of the current demographic composition of the United States compared to the country's teaching force. The United States is increasingly turning into a diverse nation more than ever.
In 1980, white Americans comprised 80 percent of the national population with African Americans accounting for only 11.5 percent, Hispanics at 6.5 percent, and Asian Americans at 1.8 percent. By 2000, white Americans accounted for 69.1 percent, Hispanics at 12.6 percent, African Americans at 12.1 percent, and Asian Americans at 3.8 percent. In 2019, white Americans accounted for 60.1 percent, Latinos at 18.5 percent, African Americans at 12.1 percent, and Asian Americans at 6 percent (Frey, 2020). In 2050, white Americans will constitute 47 percent of the entire country's population. Hispanics, African Americans, and Asian Americans will account for 29 percent, 13 percent, and 9 percent of the entire population, respectively (Passel & Cohn, 2008).
While the country has made significant advancement in student enrollment across different racial groups, white American students record better academic performances than their counterparts from other racial minorities. Between 2000 and 2017, the proportion of white students attending public schools declined from 61 percent to 48 percent, and the proportion of African American students also declined from 17 percent to 15 percent over the same period. On the contrary, the percentage of Hispanic students attending public schools increased from 16 percent to 27 percent during the same period (NCES, 2021). However, white American students still perform better than their counterparts, especially in math and reading (Carnoy & Garcia, 2017). In the United Kingdom, a report by the Higher Education Council for England found that 72 percent of white students who scored grades BBB at A-level gained first or upper second class degree honors compared with 56 percent of Asian students and 53 percent of black students (Adams, 2014).
The above statistics show the need for cultural competence among students to enhance their leadership skills and academic achievements. Studies on how to promote student leadership as well as academic achievement in culturally diverse k-12 learning institutions must be given significant attention. The gap of the need to apply both curricular and co-curricular activities to foster student leadership in k-12 learning institutions has received less attention in favor of other areas of concern considered to be more significant such as educational attainment.
Student academic performance and leadership development in culturally diverse learning institutions are vital indicators of effective culture in k-12 learning environments. Student leaders in culturally diverse learning institutions encounter different diversity challenges such as contempt and intimidation. These issues can negatively affect a person's mental, emotional, as well as social well-being apart from academic performance (Allen, 2017). Thus, it is important to develop culturally inclusive curricular and co-curricular activities to foster social cohesion among students. This cohesion will help in improving their leadership behaviors and academic outcome (Allen, 2017). Hence, it will be important to explore how cultural inclusivity and the development of appropriate curricular as well as co-curricular activities affect student's academic performance and leadership behaviors.
Purpose of the Study
The purpose of this qualitative descriptive study is to understand how cross-cultural experiences influence student leadership capacity development and academic achievement, located at a high school in Central Florida. It will investigate issues of student academic performances and leadership behaviors in culturally diverse learning institutions. It will do so by examining the relationship between culturally inclusive co-curricular activities and curriculum initiatives and student leadership as well as the academic outcome. The study can be used in communities as well as communities that have individuals from culturally diverse backgrounds for the promotion of social cohesion in communities and effective student leadership behaviors. It can also be applied for the improvement of student social as well as learning outcomes in schools (Oplatka & Arar, 2016).
Studies on cross-cultural experience show a direct relationship between cultural competence and effective leadership. In schools, culturally competent teachers develop a caring community for all students irrespective of race and ethnicity. Culturally competent teachers also develop their background knowledge on institutional as well as structural racism. They read different perspectives about cultural competence and emerge with a broader view of the concept. Moreover, they collaborate with others and are more patient as well as comfortable in their vulnerability (Pope, Reynolds & Mueller, 2014).
In organizations, culturally competent leaders treat all employees equally and utilize their knowledge, skills, and abilities to the fullest irrespective of their background. By doing so, they increase staff morale across the organization. Cross-cultural leaders can also handle conflicts among employees without bias and determine how to utilize conflicts as a means of enhancing workplace communication and as a method to foster innovative approaches to businesses. A leader also shows cultural competency by recruiting people from diverse groups such as race, ethnicity, disability, religious orientation, gender, age, and sexual orientation (Pope, Reynolds & Mueller, 2014).
The Boundary-Breaking Leadership Development Model will be used to promote education across multicultural settings because of its ability to overcome issues associated with gender, ethnicity, and/or nationality. The model focuses on numerous factors within the educational context such as leadership development and the creation of discussion forums that foster diversity, responsibility, and a sense for the community. The model also focuses on generative learning, ethical and collaborative spirit, as well as cultivation of respect. The Boundary-Breaking Leadership Development Model can be used to create unity through collaboration among learners with diverse features (Tomlinson, 2013).
Research Questions and/or Hypotheses
A research question is a question that a particular study seeks to answer. It addresses an issue, through data analysis and interpretation, which is answered in the conclusion part of a study. As the name suggests, a research question is grounded on research. Cross-cultural awareness is closely linked with positive student leadership qualities and behavior. Hence, this study will be guided by two questions.
RQ1: How does cross-cultural experience affect student leadership capacity development?
RQ2: How does cross-cultural experience influence student academic achievement?
Advancing Scientific Knowledge and Significance of the Study
This study is significant in the sense that there is little research examining the relationship between cross-cultural experience and students' academic achievement as well as leadership development. It seeks to understand how cross-cultural experiences influence student leadership capacity development and academic achievement, thereby adding an updated qualitative aspect to cultural competence studies as it relates to student leadership development and academic achievement. Much of the study conducted on leadership in culturally diverse k-12 learning institutions tend to focus on leadership regarding school heads and administrators, educational stakeholders, and teachers instead of leadership issues among students in culturally diverse k-12 learning environments (Genao, 2016).
Bartel-Radic and Giannelloni (2017) acknowledge that there is a scarcity of scholarly materials exploring the impacts of cross-cultural issues on students' academic performance and leadership development. On the contrary, this study investigates the relationship between cross-cultural experience and students' academic performance as well as leadership development. This is crucial because cultural competence involves the development of internal knowledge, skills, and abilities that students bring to the school environment daily rather than the strategies they use in classrooms with their colleagues.
Several studies explore the impact of cultural competence on school heads and instructors (Genao, 2016), but this study is more directed on the effect on students. Other studies on the field of education have focused on how to develop cultural awareness and competence in healthcare students (Forsyth et al., 2019). Some have discussed the importance of developing cross-cultural experience among nursing students (Cruz et al., 2018). Moreover, there are many studies on issues related to cross-cultural awareness such as culturally relevant pedagogy (Ladson-Billings, 2014), culturally responsive teaching (Hernandez, Morales & Shroyer, 2013), and cultural congruence (Bayanova et al., 2016). Yet, there is a scarcity of studies on the topic being explored. The meaning of cultural competence implies that this asset is vital for effective leadership skills and good academic performance. In essence, a student must develop a higher cultural competence to become an all-round person in life. This study aims to fill the existing gap in literature such as the need to explore the impact of cultural competence on students' academic performance and the need to investigate the influence of cultural competence on students' leadership development.
Rationale for Methodology
This study will use the descriptive qualitative method of research design because it aims at understanding how cross-cultural experiences influence students' academic performance and leadership development. This study is more concerned with what issues instead of why or why a certain phenomenon has happened. Descriptive qualitative research methodology aims at describing a phenomenon and its features (Cresswell & Cresswell, 2012). Moreover, the descriptive qualitative approach will be used because it explores how a specific socio-cultural phenomenon operates (Poucher et al., 2020).
A qualitative study focuses on collecting non-numerical data such as the feelings and perceptions of research participants. The qualitative method of research design will be used because it is subjective and focuses on the interpretation as well as an understanding of a social phenomenon within natural settings (Saunders et al., 2018). Thus, the methodology is suitable for this study because it helps in understanding as well as interpreting the current state of student academic performance and leadership competence in culturally diverse k-12 learning institutions. The method can also be used to determine the appropriate strategies that can help in preventing and managing diversity-related issues that hinder academic attainment and obstruct leadership.
Moreover, the qualitative methodology of research design accommodates both the complexities and several realities regarding new ideas as well as themes emerging from the gathered data (Saunders et al., 2018). Therefore, the qualitative method of research design would facilitate the expansion of the study and allow accommodation as well as the generation of new ideas that would enhance understanding of diversity issues in learning institutions. The sensitivity of cultural diversity means that there is a need to have caution when choosing the type of research methodology for data collection. It is also important to focus on the researcher's behavior (Poucher et al., 2020). In this regard, the qualitative methodology is appropriate because the emphasis is to use ethical behaviors to create a socially conducive atmosphere where research subjects can comfortably provide their genuine responses. Genuine responses are crucial for data accuracy and reliability. Furthermore, the qualitative methodology allows for data analysis in a nonlinear, iterative, as well as holistic manner, which will improve the quality of the research (Cresswell & Cresswell, 2017).
Nature of the Research Design for the Study
The purpose of this qualitative descriptive study is to understand how cross-cultural experiences influence student leadership capacity development and academic achievement, located at a high school in Central Florida. A descriptive qualitative method of research design will be used to explore the relationship between cross-cultural experience and student academic performances as well as leadership development. Poucher et al. (2020) indicate that the purpose of a qualitative descriptive research design is to provide a comprehensive summarization of specific events faced by an individual or a group of people. In essence, it focuses on people's experiences, including the integration of people's experiences with consciousness, as well as the implication of the situation (Poucher et al, 2020).
The descriptive qualitative research design focuses on an understanding of the essence and core structure as well as the impacts of experiences. Allen (2017) asserts that a qualitative descriptive research design is used when there is a need for an uncomplicated description that focuses on the what, why, and when, as well as where of an experience. Doyle et al. (2020) offered a major reason for using the qualitative descriptive approach of research methodology. The rationale is that a qualitative descriptive research design offers a clear description of experiences as well as perceptions, especially in areas where there is insufficient information about the issue under investigation.
A descriptive qualitative research design will be used for this study as it requires an uncomplicated description of how cross-cultural experiences affect a student's leadership development and academic outcome. Moreover, a descriptive qualitative research design can help in understanding the lived experiences as well as academic performance of students in culturally diverse learning institutions based on the current state of cross-cultural cooperation as well as cohesion in schools. The qualitative methods of research methodology that will be used in this study are semi-structured interviews and observation. Allen (2017) defines the semi-structured interview as a qualitative method of data collection in which a researcher asks respondents a series of predetermined open-ended questions.
The semi-structured interview method of data collection is effective if a researcher wants to explore the thoughts, feelings, and beliefs of a research participant about a particular issue. It is also effective when a researcher wants to delve deeply into sensitive issues and to gather qualitative, open-ended data. Semi-structured interviews will be used because of their framework, which makes it easy to focus on the main themes of a study. Moreover, they are not restricted to particular questions (Poucher et al., 2020). Semi-structured interviews also permit flexibility to some limit, which can allow a researcher to interactively respond to the interviewees' respondents, thereby allowing the development of new themes and identification of new issues as they arise (Allen, 2017). The experimental form of the interview will be used because it enables a researcher to capture a respondent's perceptions, feelings, and experiences during the time they have been a culturally diverse learning institution.
In addition to semi-structured interviews, observation methods of data collection will also be used. It is a method of data collection in which a researcher observes within specific research. This method of data collection will be used since it allows a researcher to understand as well as capture the context within which interactions take place. Firsthand experience with the culturally diversified k-12 schools will allow the researcher to embrace inductive and discovery instead of guessing about the context. Moreover, the researcher will see some things that normally escape the respondents' awareness when using a different method of data collection. Most importantly, it will provide the researcher with an opportunity to learn new things that respondents may not be willing to discuss in an interview. Cresswell and Cresswell (2017) indicate that the observation method of data collection allows researchers to view events, norms, and actions from the respondents' perspectives. It also allows researchers to attend to mundane details needed to understand ongoing experiences and provide clues to other aspects of reality. Most importantly, observation enables researchers to contextualize events from social and historical perspectives.
The study will also utilize focus groups for data collection to complement semi-structured interviews. Guest et al. (2017) assert that focus groups are a qualitative method of data collection used to gather in-depth information about a topic under investigation. Focus groups help in collecting information on collective perspectives, and the meanings lying behind such perspectives. They will also help in acquiring a rich understanding of the research participants' experiences and beliefs. Cresswell and Cresswell (2017) assert that focus groups cans be used during the pre-structuring phase of a study when a researcher aspires to collect different perspectives or judgments of experts. Focus groups will be used to collect data from a purposely chosen group of people instead of a statistically representative sample. In addition, this method will help in understanding the respondent's socio-cultural aspects of life. The method will be employed by determining as well as defining the primary research objectives. Then a list of questions will be developed for discussion by the focus group.
Data will be gathered from a high school in Central Florida, school administrators, and teachers. In particular, the study will include 16 - 24 participants. Researchers will contact school administrators and teachers and explain the purpose as well as the significance of the study. The researcher will seek IRB approval by explaining the nature and significance of the study and how the study is aligned with ethical research principles and practices. This will only be done after obtaining permission from the school. The researcher will inform the school administrators and teachers about the research ninety days in advance so that they can decide on whether to participate or not and adequately prepare for the exercise.
The process of data collection will commence by contacting the relevant school authorities. Since the study will not interfere with normal learning activities, research participants will be expected to respond to the interview questionnaires during weekdays or weekends. Observations will be conducted during indoor as well as outdoor activities by using cameras in classrooms. Direct observations will be used for outdoor activities. For teachers, paper and pen face-to face-interview will be effective. Secondary data will be gathered from education offices and teachers as well as school administrators' inventories. A compilation of data from different research participants will be done 30 days after completing the data collection process.
After data collection, the data will be coded and arranged systematically through itemization of nominal data in the same group. Different themes will be determined, and thematic analysis performed to interpret observations. For example, if one of the coded groups is leadership performance across all learners, the list's subcategory would be leadership performance among African-Americans, Asian American, and Caucasian students. The implication is that there will be an analysis and comparison of trends in different classes and sub-classes. Data validity will be ascertained by the deviations between the study's findings and research questions, and whether the findings are consistent with the standard accuracy limits of the research instruments employed in the study.
Data management is an important requirement in any research activity. It involves the organization, storage, and preservation, as well as sharing of data collected and utilized in a study (Cresswell & Cresswell, 2017). In this study, information systems will be used for data storage. A cloud backup system will be used to prevent loss, destruction, and deletion of data. Cloud backup will also safeguard data integrity. Furthermore, various information security methods such as encryption, physical access controls, as well as password authentication will be used for data security and protection. Most importantly, the data will be kept for at least one month to ensure easy accessibility during the data analysis stage or for verification purposes, and typically for 3- 5 years for record.
Definition of Terms
Various terms relating to cultural competence have been used throughout this proposal. Hence, it is important to provide their operational definition. They include:
African American: The two terms refer to persons having origins in the black racial groups of Africa (Planty et al., 2009).
Asian American: A person having origins in the original people of Southeast Asia, the Far East, and India (Planty et al., 2009).
Cultural competence: It is a set of congruent policies, behaviors, as well as attitudes that converge in a system or agency and enables that agency or system to operate effectively in a cross-cultural setting.
Culture: This is a lens via which life is perceived
Dominant culture: Since the study will be conducted in the United States, the dominant culture refers to a set of values and beliefs held by white Americans from the middle or upper class.
Hispanic/Latino: These two terms refer to persons of Mexican, Southern or Central American, Puerto Rican origin, or Spanish origin irrespective of race (Planty et al., 2009).
Native American: These are persons having origins in the original persons of North, South, and Central America (Planty et al., 2009).
School Poverty Rate: This is the proportion of learners within a learning institution receiving free lunch.
White Americans: These terms refers to persons having origins in the original people of Europe, the Middle East, or North Africa (Planty et al., 2009)
Assumptions, Limitations, Delimitations
Assumptions
It is assumed that:
· Cultural competence is acquired through training and practice
· The primary work of educators is to prepare culturally competent students
· The research participants will provide honest and socially desirable answers
Limitations and Delimitations
The main limitation of this study is that cultural competence measure is a self-report survey, which may not reflect the level of a participant's competence level in case of dishonesty. The first delimitation is that the study will be carried out in an urban area of mid-size Los Angeles County. In addition, this study will only explore the influence of cultural competence on students' academic performance and leadership development in culturally diverse k-12 schools.
Summary and Organization of the Remainder of the Study
The purpose of this study is to understand how cross-cultural experiences influence student leadership capacity development and academic achievement, located at a high school in Central Florida. This chapter has discussed various aspects such as the background of the study, the purpose of the study, research questions, and the significance of the study. This study is important because it will fill the existing gap in current literature about the correlation between cross-cultural experience and student leadership behaviors as well as the academic outcome. The next chapter will focus on a literature review of the study and the third chapter will discuss the research methodology.
Chapter 2: Literature Review
Introduction to the Chapter and Background to the Problem
This chapter presents the theoretical framework for the study and develops the topic, specific research problem, question(s), and design elements. In order to perform significant dissertation research, the learner must first understand the literature related to the research focus. A well-articulated, thorough literature review provides the foundation for a substantial, contributory dissertation. The purpose of Chapter 2 is to develop a well-documented argument for the selection of the research topic, to formulate the research questions, and to justify the choice of research methodology.A literature review is a synthesisof what has been published on a topic by accredited scholars and researchers. It is not an expanded annotated bibliography or a summary of research articles related to thrutopic.
The literature review will place the research focus into contextby analyzing and discussing the existing body of knowledge and effectively telling the reader everything that is known, or everything that has been discovered in research about that focus, and where the gaps and tensions in the research exist. As a piece of writing, the literature review must convey to the reader what knowledge and ideas have been established on a topic, and build an argument in support of the research problem.
This section describes the overall topic to be investigated, outlines the approach taken for the literature review, and the evolution of the problem based on the “gap” or “need” defined in the literature from its origination to its current form.Make sure the Introduction and Background section of the literature review addresses all required criterion listed in the table below.Learners may want to create a subsection title for the Introduction section and for the Background to the Problem section to provide clarity to the reader.
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CHAPTER 2 INTRODUCTION (TO THE CHAPTER)AND BACKGROUND (TO THE PROBLEM) (Minimum two to three pages) |
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Introduction : Provides an orienting paragraph so the reader knows what the literature review will address. |
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X |
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Introduction : Describes how the chapter will be organized (including the specific sections and subsections). |
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X |
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Introduction: Describes how the literature was surveyed so the reader can evaluate thoroughness of the review. This includes search terms and databases used. |
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X |
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Background: Discusses how the problem has evolved historically into its current form. |
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X |
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Background : Describes the “gap” or “need” defined in the current literature and how it leads to the creation of the topic and problem statement for the study.Note: This section should be a significant expansion on the Background to the Problem section in Chapter 1. |
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X |
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Section is written in a way that is well structured, has a logical flow, uses correct paragraph structure, uses correct sentence structure, uses correct punctuation, and uses correct APA format. |
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X |
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*Score each requirement listed in the criteria table using the following scale: 0 = Item Not Present or Unacceptable. Substantial Revisions are Required. 1 = Item is Present. Does Not Meet Expectations. Revisions are Required. 2 = Item is Acceptable. Meets Expectations. Some Revisions May be Suggested or Required. 3 = Item Exceeds Expectations. No Revisions are Required. |
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Reviewer Comments: |
Identification of the Gap
All learners must identify a gap or stated need for their authentic dissertation research. The gap, or stated need, for the dissertation is the difference between what is known in a field of research and what is not yet known. The gap is created by synthesizing the literature related to a societal need and/or broad topic. The stated need is defined from the literature from recent years, usually within the last five years. Lack of research on a topic is not a reason to do a dissertation.Just because something has not been researched does not mean it should be. Therefore, the learner must be “well read” on their topic to identify ways their study will add to the existing body of knowledge on the topic.
There are a variety of ways to synthesize the literature to define the gap. Below is a set of steps that may be used:
· First, explore original literature on this “societal” or big problem to determine has been discovered and what still needs to be discovered. Then, summarize and compare and contrast, the original literature on this problem.
· Second, while exploring the original literature identify the broad topics and problems researched.Explore the evolution of the research on the problem. How did the focus change? What findings emerged from these studies?
· Third, describe the research from the past 2 to 3 years to discover what has been discovered, and elaborate to discuss what still needs to be researched or discovered. Discuss the trends and themes that emerged. What has been discovered? What do researchers say still needs to be researched or discovered?
· Fourth, define the proposed topic and problem statement, by synthesizing the recent studies, including trends, limitations, and defined future research needs.
While the the verbiage in this section highlights a set of steps designed to help GCU doctoral learners identify the gap or need for their study, there are other methods that can be used. These include replication studies, recommendations for future research from from prior studies and literature reviews, adding to a broadly researched area, reframing problems and synthesizing areas of research to define a new or innovative area of research. This section must clearly identify the specific sources that form the basis for the gap. Learners can access further information on these strategies in the Doctoral Community, dc.gcu.edu, under the Residency tab, and GCU e-Book (Grand Canyon University, 2017b).
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CHAPTER 2: IDENTIFICATION OF THE GAP (Minimum two pages) |
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Summarizes the “societal” or big problem. Highlights what has been discovered and what still needs to be discovered related to the topic from literature or research dated within the last five years. |
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Discusses and synthesizes the evolution of the research on the problem. Specifically: · Identifies the key sources used as the basis for the gap · Identifies trends in research and literature. · Identifies how the research focus has changed over the recent past (five years). · Discusses key findings that emerged from recent studies. · Discusses limitations or prior research and defined future research needs. |
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From the findings of research studies and evolution of recent literature on the topic, defines the problem statement for the study. |
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*Score each requirement listed in the criteria table using the following scale: 0 = Item Not Present or Unacceptable. Substantial Revisions are Required. 1 = Item is Present. Does Not Meet Expectations. Revisions are Required. 2 = Item is Acceptable. Meets Expectations. Some Revisions May be Suggested or Required. 3 = Item Exceeds Expectations. No Revisions are Required. |
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Reviewer Comments: |
Theoretical Foundations and/or Conceptual Framework
This section identifies and discusses the theory(ies) or model(s) that provide the foundation for the research study. It also contains an explanation of how the problem under investigation relates to the theory or model. The seminal source for each theory or model presented in this section should be identified and described.
For a quantitative study, the theory(ies) or models(s) guide the research question(s), justify what is being measured (variables),and describe how those variables are related.In a qualitative study, the theory(ies) or model(s) guide the research question(s)and help describe the phenomena being investigated (qualitative).This section also includes a discussion of how the research question(s) align with the respective theory(ies) or model(s) and illustrates how the study fits within the prior research based on the theory(ies) or model(s).
The learner should cite references reflective of the foundational, historical, and current literature in the field.Seminal works are usually more than five years old; it is important to include those, as well as relevant, more recent literature on the theory. Overall, the presentation in this section should reflect that the learner understands the theory or model and its relevance to the proposed study. The discussion should also reflect knowledge and familiarity with the historical development of the theory.
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theoretical foundationsand/or conceptual framework (Minimum two to three pages) |
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Identifies a model(s) or theory(ies) from seminal source(s) that provide a reasonable conceptual framework or theoretical foundation to use in developing the research questions, identifying variables/phenomena, and selecting data collection instruments. |
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X |
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Cites the appropriate seminal source(s) for each theory or model. |
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X |
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Includes a cogent discussion/synthesis of the theory or model and justifies the theoretical foundation/framework as relevant to the study. Connects the study directly to the theory and describes how the study will add or extend the theory or model. Quantitative Studies: Have one theory for each variable. For example, use the model the survey is based on. Use the theory or model upon which the instrument is based. Distinguishes between the model/theories being used for research questions and data collection versus the background models and theories generically relevant to the study. |
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X |
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Builds a logical argument of how the research questions are developed based on the theoretical foundation for the study. |
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X |
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Reflects understanding of the foundational, historical, research relevant to the theoretical foundation/framework. |
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X |
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Section is written in a way that is well structured, has a logical flow, uses correct paragraph structure, uses correct sentence structure, uses correct punctuation, and uses correct APA format. |
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X |
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*Score each requirement listed in the criteria table using the following scale: 0 = Item Not Present or Unacceptable. Substantial Revisions are Required. 1 = Item is Present. Does Not Meet Expectations. Revisions are Required. 2 = Item is Acceptable. Meets Expectations. Some Revisions May be Suggested or Required. 3 = Item Exceeds Expectations. No Revisions are Required. |
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Reviewer Comments: |
Review of the Literature
This section provides a broad, balanced overview of the existing literature related to the proposed research topic. The Review of Literature identifies themes, trends, and conflicts in research methodology, design, and findings. It provides a synthesis of the existing literature, examines the contributions of the literature related to the topic, and justifies the methodological approaches used for the research based on related empirical studies. Through this synthesis, the researcher applies this information to define the research gaps as well as to the creation of the plan and approach for their proposed study.
Citations are provided for all ideas, concepts, and perspectives. The researcher’s personal opinions or perspectives are not included. Chapter 2must be a minimum of 30 pages in length. However,it is important to note that a well-written comprehensive literature review will likely exceed this minimum requirement. The literature review must be continuously updated throughout the dissertation research and writing process. Chapter 2 needs to include a minimum of 50 peer-reviewed, empirical research articles,and 75% of all references within this chapter (and in proposal/dissertation) must be within the past five years. Seventy five percent (75%) of the sources must be dated withinfiveyears of the proposal defense dateand five years of the dissertation defense date, and updated as appropriate at the time of the dissertation defense.Other requirements for the literature review include:
· Quantitative study: Describes each research variable in the study discussing the prior empirical research that has been done on the variable(s) and the relationship between variables.
· Qualitative study: Describes the phenomena being explored in the study discussing the prior research that has been done on the phenomena.
· Discusses the various methodologies and designs that have been used to research topics related to the study. Uses this information to justify the proposed design.
· Argues the appropriateness of the dissertation’s instruments, measures, and/or approaches used to collect data.
· Discusses and synthesizes studies related to the proposed dissertation topic. This may include (1) studies describing and/or relating the variables (quantitative) or exploring related phenomena (qualitative), (2) studies on related research such as factors associated with the themes, (3) studies on the instruments used to collect data, (4) studies on the broad population for the study, and/or (5) studies similar to the proposed study. The themes presented and research studies discussed and synthesized in the Review of Literature demonstrates a deep understanding of all aspects of the research topic.The set of topics discussed in the Review of Literature must demonstrate a comprehensive understanding of the broad area in which the research topic exists.
· Discusses and synthesizes the various methodologies and designs that have been used in prior empirical research related to the study. Must use authoritative sources information to justify the proposed design. Provides discussion and justification for the instrumentation selected for the study. This section must argue the appropriateness of the dissertation’s instruments, measures, and/or approaches used to collect data. Empirical research must be used to justify the selection of instrument(s).
· Eachmajor section in the Review of Literature includes an introductory paragraph that explains why the particular topic was explored relative to the dissertation topic.
· Each major section in the Literature Review includes a summary paragraph(s) that (1) compares and contrasts alternative perspectives on the topic, (2) provides a synthesis of the themes relative to the research topic discussed that emerged from the literature, (3) discusses data from the various studies, and (4) identifies how themes are relevant to the proposeddissertation topic.
· The types of references that may be used in the literature review include empirical articles, a limited number of dissertations (no more than 5), peer-reviewed or scholarly journal articles, and books (no more than 5-10) that present cutting-edge views on a topic, are research based, or are seminal works.
· Provides additional arguments for the need for the study that was defined in the Background to the Problem section.
The body of a literature review can be organized in a variety of ways depending on the nature of the research. However, clearly explain the approach taken to the organization and flow of the topics for the Review of Literature section, explaining the organization in an introductory section for the Review of Literature. Learners will work with the chair and committee to determine the best way to organize this section of Chapter 2 as it pertains to the research design. Make sure to include a section for methodology and instrumentation (see the rubrics, below).
Chapter 2 can be particularly challenging with regard to APA format for citations and quotations. Refer to the APA manual frequently to make sure citations are formatted properly. It is critical that each in-text citation is appropriately listed in the Reference section. Incorrectly citing and referencing sources is a serious scholarly and ethical violation, particularly at the doctoral level when writing the dissertation. As an emerging scholar, learnersmust demonstrate the capability and responsibility to properly cite and reference every single source referenced in the literature review and in throughout the dissertation! Note that all in-text citations within parentheses must be listed in alphabetical order with semicolons between each citation (e.g., Barzun & Graff, 1992; Calabrese, 2006; Hacker, Somers, Jehn, & Rosenzweig, 2008; Mason, 2010; Nock, 1943; Squires &Kranyik, 1995; Strunk & White, 1979).
As a rule, if a direct quote comprises fewer than 40 words, incorporate it into the narrative and enclose it with double quotation marks. The in-text citation is included after the final punctuation mark [6.03]. The final punctuation mark in quoted text should be placed inside the quotation mark.
For a quote within a quote, use a set of single quotation marks. Here is an example of a direct quote within a quote integrated into the narrative. In the classic introspective autobiography, The Memoirs of a Superfluous Man,one reads that, “one never knows when or where the spirit’s breathe will rest, or what will come of its touch. ‘The spirit breathes where it will,’ said the Santissimo Salvatore, ‘and thou hearest the sound thereof, but cannot tell whence it cometh or whither it goeth.’” (Nock, 1943, p.187) [4.08].
As a rule, if a quote comprises 40 or more words, display this material as a freestanding block quote. Start formal block quotes on a new line. They are indented one inch in from the left margin. The entire block quote is double-spaced. Quotation marks are not used with formal block quotes. The in-text citation is included after the final punctuation mark. [6.03]. Below is an example of a block quote: In an important biography, The First American:The Life and Times of Benjamin Franklin, historian H. W. Brands writes:
In February 1731, Franklin became a Freemason. Shortly thereafter, he volunteered to draft the bylaws for the embryonic local chapter, named for St. John the Baptist; upon acceptance of the bylaws, he was elected Warden and subsequently Master of the Lodge. Within three years, he became Grandmaster of all of Pennsylvania's Masons. Not unforeseeable he—indeed, this was much of the purpose of membership for everyone involved—his fellow Masons sent business Franklin’s way. In 1734 he printed TheConstitutions, the first formerly sponsored Masonic book in America; he derived additional [printing] work from his brethren on an unsponsored basis. (Brands, 2000, p. 113)
Table 1. Correct Formatting for a Multiple Line Table Title is Single Spacing and Should Look Like this Example
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Variable |
Column A M (SD) |
Column B M (SD) |
Column C M (SD) |
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Row 1 |
10.1 (1.11) |
20.2 (2.22) |
30.3 (3.33) |
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Row 2 |
20.2 (2.22) |
30.3 (3.33) |
20.2 (2.22) |
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Row 3 |
30.3 (3.33) |
10.1 (1.11) |
10.1 (1.11) |
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Note. Adapted from “Sampling and Recruitment in Studies of Doctoral Students,” by I.M. Researcher, 2010, Journal of Perspicuity, 25, p. 100. Reprinted with permission. |
Methodology and instrumentation/data sources/research materials. The final section of Chapter 2 focuses on the methodologies and instrumentation in the empirical studies reviewed in Chapter 2. Unlike the methodology and instrumentation sections in Chapters 1 and 3, this section provides a clear overview of how the empirical studies in the literature review were conducted. This provides evidence for the methodology and instrumentation the learner selects for the study. For example, the key studies may show which instruments were used for studies on particular forms of leadership, and the discussion would point out how such instruments were used and why. That may support an argument by the learner about his or her choice of instrument for the study.
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REVIEW OF THE LITERATURE (Minimum 30 pages) |
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This section must be a minimum of 30 pages. The purpose of the minimum number of pages is to ensure that the overall literature review reflects a foundational understanding of the theory or theories, literature and research studies related to the topic. A well-written comprehensive literature review that reflects the current state of research and literature on the topic is expected and will likely exceed 30 pages. Literature reviews should be updated continuously. This is an ongoing process to dissertation completion. |
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X |
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Quantitative Studies: Describes each research variable in the study discussing the prior empirical research that has been done on the variables and the relationship between the variables. Qualitative Studies: Describes the phenomena being explored in the study discussing the prior research that has been done on the phenomena. |
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X |
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Themes or Topics (Required): Discusses and synthesizes studies related to the proposed dissertation topic. May include (1) studies focused on the problem from a societal perspective, (2) studies describing and/or relating the variables (quantitative) or exploring related phenomena (qualitative), (3) studies on related research such as factors associated with the themes, (4) studies on the instruments used to collect data, (5) studies on the broad population for the study, and/or (6) studies similar to the proposed study. The themes presented and research studies discussed and synthesized in the Review of Literature demonstrates understanding of all aspects of the research topic and the research methodology. |
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X |
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Methodologies used in prior research on the topic (required): Section is built on prior research studies and does not include references to methodology books and articles. What other methods have been done in similar studies on the topic? Discusses and synthesizes the various methods that have been used in prior empirical research related to the study to present the best methodology for the proposed study.This section demonstrates broad understanding of methodologies used in research area. |
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X |
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Instruments/data sources/research materialsused in prior studies on the topic(required): Provides discussion of instruments, sources of data or research materials usedin closely-related empirical studies on the topic (dated within last 3 to 5 years). Demonstrates understanding of the instruments used in prior studies on the topic. Synthesizes the information to recommend the instruments to be used for the study. |
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X |
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Structures literature review in a logical order, includingactual data and accurate synthesis of results from reviewed studies as related to the learners own topic. Provides synthesis of the informationnot just a summary of the findings. |
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X |
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Includes in each major section (theme or topic) within the Review of Literature an introductory paragraph that explains why the particular topic or theme was explored relative to the overall dissertation topic. |
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Includes in each section within the Review of Literature a summary paragraph(s) that (1) compares and contrasts alternative perspectives on the topic and (2) provides a synthesis of the themes relative to the research topic discussed that emerged from the literature, and (3) identifies how themes are relevant to the proposed dissertation topic and research methodology. |
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Provides additional arguments for the need for the study that was defined in the Background to the Problem section. |
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X |
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Ensures that for every in-text citation a reference entry exists. Conversely, for every reference list entry there is a corresponding in-text citation. Note:The accuracy of citations and quality of sources must be verified by learner, chair and committee members. |
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X |
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Uses a range of references including founding theorists, peer-reviewed empirical research studies from scholarly journals, and government/foundation research reports.Note:A minimum of 50 peer-reviewed, empirical research articles are required for the literature review. |
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X |
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Verifies that 75% of all references are scholarly sources within the past4 years for the proposal and 5 years for the dissertation.The 5-year timeframe is referenced at the time of the proposal defense date and the 5-year timeframe is referenced at the time of the dissertation defense date.Note:Websites, dictionaries, publications without dates (n.d.), are not considered scholarly sources and should not be cited or present in reference list. |
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X |
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Avoids overuse of books and dissertations. Books: Maximum of 10 scholarly books that present cutting edge views on a topic, are research based, or are seminal works. Dissertations: Maximum of 5 published dissertations. |
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X |
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Section is written in a way that is well structured, has a logical flow, uses correct paragraph structure, uses correct sentence structure, uses correct punctuation, and uses correct APA format. |
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X |
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*Score each requirement listed in the criteria table using the following scale: 0 = Item Not Present or Unacceptable. Substantial Revisions are Required. 1 = Item is Present. Does Not Meet Expectations. Revisions are Required. 2 = Item is Acceptable. Meets Expectations. Some Revisions May be Suggested or Required. 3 = Item Exceeds Expectations. No Revisions are Required. |
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Reviewer Comments: |
Summary
This section succinctly restates what was written in Chapter 2 and provides supporting citations for key points. The summary section reflects that the learner has done his/her "due diligence" to become well-read on the topic and can conduct a study that will add to the existing body of research and knowledge on the topic. It synthesizes the information from the chapter to define the "gaps" in or "identified research needs" arising from the literature, the theory(is) or model(s) to provide the foundation for the study, the problem statement, the primary research question, the methodology, the design, the variables or phenomena, the data collection instruments or sources, and the population to be studied. Overall, this section shouldhelp the reader clearly see and understand the relevance and importance of the research to be conducted. The criteria listed in the table below are required for this section.The Summary section transitions to Chapter 3 by building a case for the study, in terms of research design and rigor, and it formulates the research questions based on the gaps and tensions in the literature.
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Chapter 2 Summary (Minimum one to two pages) |
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Synthesizes the information from all prior sections in the Literature Review using it to define the key strategic points for the research. |
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X |
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Summarizes the gaps and needs in the background and introduction describing how it informs the problem statement. |
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Identifies the theory(ies) or model(s) describing how they inform the research questions. |
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X |
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Justifies the methodology, design, variables or phenomena, data collection instruments or sources, and population to be studied. |
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X |
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Builds a case (argument) for the study in terms of the value of the research and how the research questions emerged from the review of literature. |
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Reflects that the learner has done his or her “due diligence” to synthesize the existing empirical research and write a comprehensive literature review on the research topic. |
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X |
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Summarizes key points in Chapter 2 and transitions into Chapter 3. |
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X |
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The chapter is correctly formatted to dissertation template using the Word Style Tool and APA standards. Writing is free of mechanical errors. |
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X |
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All research presented in the chapter is scholarly, topic-related, and obtained from highly respected, academic, professional, original sources. In-text citations are accurate, correctly cited and included in the reference page according to APA standards. |
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X |
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Section is written in a way that is well structured, has a logical flow, uses correct paragraph structure, uses correct sentence structure, uses correct punctuation, and uses correct APA format. |
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X |
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*Score each requirement listed in the criteria table using the following scale: 0 = Item Not Present or Unacceptable. Substantial Revisions are Required. 1 = Item is Present. Does Not Meet Expectations. Revisions are Required. 2 = Item is Acceptable. Meets Expectations. Some Revisions May be Suggested or Required. 3 = Item Exceeds Expectations. No Revisions are Required. |
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Reviewer Comments: |
Chapter 3: Methodology
Introduction
Chapter 3 documents how the study is conducted in enough detail so that replication by others is possible. The introduction begins with a summary ofthe research focus and purpose statement to reintroduce the reader to the study.This can be summarized in three to four sentences from Chapter 1. This section also outlinesthe expectations for this chapter.
Remember, throughout this chapter,that verb tense must be changed from present or future tense (proposal) to past tense (dissertation manuscript). At the dissertation stage, all comments regarding “the proposed research” or “the proposal” must be removed and edited to reflect the fact that the research has been conducted. Furthermore, consider what happened during data collection and analysis. Sometimes, the research protocol ends up being modified based on committee, AQR review, or Institutional Review Board (IRB) recommendations. After the research study is complete, make sure this chapter reflects how the study was actually conducted.
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CHAPTER 3 INTRODUCTION (Minimum two to three paragraphs) |
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The introduction restatesthe purpose statement to the study. This section also outlines the expectations for this chapter. |
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Section is written in a way that is well structured, has a logical flow, uses correct paragraph structure, uses correct sentence structure, uses correct punctuation, and uses correct APA format. |
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X |
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*Score each requirement listed in the criteria table using the following scale: 0 = Item Not Present or Unacceptable. Substantial Revisions are Required. 1 = Item is Present. Does Not Meet Expectations. Revisions are Required. 2 = Item is Acceptable. Meets Expectations. Some Revisions May be Suggested or Required. 3 = Item Exceeds Expectations. No Revisions are Required. |
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Reviewer Comments: |
Statement of the Problem
This section restates the research problem for the convenience of the reader. Then, edit, blend, and integrate the problem statement into a narrative discussion that addresses how the problem statement addresses the gap in the literature, as described in the Problem Statement section in Chapter 1. Change future tense in proposals to past tense for dissertation manuscripts.
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STATEMENT OF THE PROBLEM (Minimum one to two paragraphs) |
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The research problem (Problem Statement)is restatedfor the convenience of the reader from Chapter 1. |
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Section is written in a way that is well structured, has a logical flow, uses correct paragraph structure, uses correct sentence structure, uses correct punctuation, and uses correct APA format. |
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X |
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*Score each requirement listed in the criteria table using the following scale: 0 = Item Not Present or Unacceptable. Substantial Revisions are Required. 1 = Item is Present. Does Not Meet Expectations. Revisions are Required. 2 = Item is Acceptable. Meets Expectations. Some Revisions May be Suggested or Required. 3 = Item Exceeds Expectations. No Revisions are Required. |
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Reviewer Comments:
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Research Questionsand/orHypotheses
This section restates the research question(s) (qualiative and quantitative) and the hypotheses (quantiative)for the study from Chapter 1. For a quantitative study, it then presents the matching hypotheses and explains the variables. For a qualitative study, it then describes the phenomena to be understood as a result of the study. The section also briefly discusses the approaches to collecting the data to answer the research questions.For a quantitative study, it describes the instrument(s) or data source(s) to collect the data for each and every variable. The variables are described at the conceptual, operational and measurement levels. For example, a conceptual level of a variable in a school setting may be student achievement. The operational level of the variable may be student performance in social studies. The measurement level for the variable may be individual student scores on the high stakes test, or percentage of overall students passing the test (at the school level).
For a qualitative study, this describes the instrument(s) or data source(s) to collect the data to answer each research question.It also discusses why the design was selected to be the best approach to answer the research questions, test the hypotheses (quantitative), or understand the phenomena (qualitative).Remember to change future tense to past tense for dissertation manuscripts.
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RESEARCH QUESTIONS AND/OR HYPOTHESES (Minimum one to two pages) |
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Qualitative Studies: Restates the research questions and the phenomena for the study from Chapter 1. Quantitative Studies: Describes the variables, at the conceptual, operational and measurement levels, then restates the research questions from Chapter 1, and presents the matching hypotheses. |
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Describes the nature and sources of necessary data to answer the research questions (primary versus secondary data, specific people, institutional archives, Internet open sources, etc.). Quantitative Studies: Describes the data collection methods, instrument(s) or data source(s) to collect the data for each variable. Qualitative Studies :Describes the data collection methods, instruments, and/or data sources to collect the data to answer each research question. |
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Section is written in a way that is well structured, has a logical flow, uses correct paragraph structure, uses correct sentence structure, uses correct punctuation, and uses correct APA format. |
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*Score each requirement listed in the criteria table using the following scale: 0 = Item Not Present or Unacceptable. Substantial Revisions are Required. 1 = Item is Present. Does Not Meet Expectations. Revisions are Required. 2 = Item is Acceptable. Meets Expectations. Some Revisions May be Suggested or Required. 3 = Item Exceeds Expectations. No Revisions are Required. |
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Reviewer Comments:
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Research Methodology
This section describes the research methodology for the study (quantitative, qualitative, or mixed) and explains the rationale for selecting this particular methodology. It also describes why this methodology was selected as opposed to the alternative methodologies.This section shouldelaborate on the Methodology section (from Chapter 1) providing the rationale for the selected research method (quantitative, qualitative, or mixed). This section may bring in additional arguments based on the empirical studies used in the Methodology section in Chapter 2. This section justifies why the selected methodology is better than the alternative methodologies. Arguments are supported by citations from articles and books on research methodology and/or design.It is also appropriate in this section to outline the predicted results in relation to the research questions and hypotheses based on the existing literature.Learners should refer to their course e-books, specifically the RES-866 e-book (Grand Canyon University, 2016), for more information on developing this chapter.
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RESEARCH METHODOLOGY (Minimum one to two pages) |
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Provides a rationale for the research methodologyfor the study (quantitative, qualitative, or mixed) based on research books and articles. |
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Provides a rationale for the selected the methodology based onempirical studieson the topic. |
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Justifies why the methodology was selected as opposed to alternative methodologies. |
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Uses authoritative source(s) to justify the selected methodology. Note: Do not use introductory research textbooks (such as Creswell) to justify the research design and data analysis approach. |
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Section is written in a way that is well structured, has a logical flow, uses correct paragraph structure, uses correct sentence structure, uses correct punctuation, and uses correct APA format. |
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*Score each requirement listed in the criteria table using the following scale: 0 = Item Not Present or Unacceptable. Substantial Revisions are Required. 1 = Item is Present. Does Not Meet Expectations. Revisions are Required. 2 = Item is Acceptable. Meets Expectations. Some Revisions May be Suggested or Required. 3 = Item Exceeds Expectations. No Revisions are Required. |
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Reviewer Comments:
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Research Design
This section elaborates on the nature of the Research Design for the Study section from Chapter 1. It includes a detailed description of,and a rationale for, the specific design for the studyand describes how it aligns to the selected methodology indicated in the previous section.GCU core designs for quantitative studies include descriptive/survey, correlational, causal-comparative, quasi-experimental, and experimental. GCU core designs for qualitative designs include case study, narrative, grounded theory, and phenomenological.Additionally, this section must describe why the selected design is the best option to collect the data to answer the research questions and test the hypotheses. Learners should refer to their course e-books (Grand Canyon University, 2015, 2016, 2017b), for more information on developing this section.
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RESEARCH DESIGN (Minimum one to two pages) |
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Elaborates on the research design from Chapter 1. Provides the rationale for selecting the research design supported by empirical references. Justifies why the design was selected as the best approach to collect the needed data, as opposed to alternative designs. |
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Quantitative Studies: Provides the variable structure and states the unit of analysis. and unit of observation. If multiple data sources have different units of observation, specify the key variable for matching cases. Qualitative Studies: Provides the unit of analysisand the unit of observation. If multiple data sources have different units of observation, specify the matching cases. In qualitative study designs the units of analysis (or observation) are each sample participant. In case study design (single or multiple), the unit of analysis is a “bounded system” in its own right. This could include one individual, one family, one group, one community, one school, one policy, one region, one state, one country, etc. The sample may include several participants, but these must be members of a homogeneous unit representing the “bounded system” that is the case study unit. |
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Uses authoritative source(s) to justify the design. Note: Do not use introductory research textbooks (such as Creswell) to justify the research design and data analysis approach. |
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Section is written in a way that is well structured, has a logical flow, uses correct paragraph structure, uses correct sentence structure, uses correct punctuation, and uses correct APA format. |
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*Score each requirement listed in the criteria table using the following scale: 0 = Item Not Present or Unacceptable. Substantial Revisions are Required. 1 = Item is Present. Does Not Meet Expectations. Revisions are Required. 2 = Item is Acceptable. Meets Expectations. Some Revisions May be Suggested or Required. 3 = Item Exceeds Expectations. No Revisions are Required. |
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Reviewer Comments:
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Population and Sample Selection
This section discusses the setting, the population of interest, target population, and study sample. Researchers should identify each of these explicitly within the section. The discussion of the sample includes the research terminology specific to the type of sampling for the study. This section should include the components listed in the criterion table.
Quantitative sample size. The purpose of computing the sample size for a proposed study is to state the target sample size. The sample size needs to be computed for the unit of analysis. In quantitative studies, it is important to distinguish between the computed minimum sample size (a priori sample size) and the target sample size. The target sample size should be 15-20% larger than the computed minimum sample size. The following steps will be useful:
· State the computed minimum sample size, and
· Provide the evidence, which would be one of the following:
· G*Power output(s) of the sample size computation(s) for the statistical procedure(s) needed to answer the research questions;
· In case G*Power does not include a planned procedure, the computation can be done using an alternative software.G*Power software, which can be downloaded from this link: http://www.gpower.hhu.de/en.html(Faul , Erdfelder, Lang, & Buchner, 2007; Faul, Erdfelder, Buchner, & Lang, 2009). GCU recommends using an alpha error of 0.05, a medium effect size, and statistical power of 0.80, for calculating the sample size.In rare instances, the learner can justify why their sample may not be that suggested by G-Power and as such it becomes a study limitation. Include a graphic image of the G*Power in an Appendix, with a screen shot.
· For a nonparametric procedure, the computation for the corresponding parametric procedure + 15% (state this generic rule of thumb with appropriate reference), or
· Authoritativereference(s) from statistics sources regarding range of sample size for which a specific procedure is appropriate.
· For repeated measures (using primary data) and longitudinal studies (using secondary data), discuss attrition rate and compute the target sample size (number of complete cases in the final dataset) considering that rate.
Planning ahead . It is important to anticipate that attaining sufficient sample size may not go according to plan. The following steps help researchers develop a plan to handleproblems that may (and often do) emerge.For studies with planned parametric statistical procedures, provide the minimum sample for the parametric analysis as well as for the alternative nonparametric analysis, in case the data show major violations in the test(s) of assumption that cannot be resolved. In such a case, retain the largest number as the computed minimum sample size. To be on the safe side, consider the need to discard from the raw data file incomplete cases and outliers—to be able to do that, the target sample size should be 15-20% larger than the computed minimum sample size.
Qualitative sample size. Sample sizes in qualitative research are smaller than those in quantitative research. The criterion table below specifies sample size and adequacy of data for several qualitative research designs. GCU has provided guidelines regarding sample size for each of the core designs, which are based on the traditions of design and analysis in qualitative research (Grand Canyon University, 2015, 2016, 2017a, 2017b). See Guest, Bunce, and Johnson (2006), and Mason (2010) for two examples that discuss the sufficiency of sample size in qualitative research.
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POPULATION AND SAMPLE SELECTION (Minimum one to two pages) |
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Describes: The population of interest (The group to which the results of the study will be generalized or applicable) (such as police officers in AZ),
The target population from which the sample is selected(such as police officers in AZ who belong to the police fraternal association).
The study sample (individuals drawn from target population who provide final source of data) (final number from whom complete data were collected).
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· Site Authorization and Recruitment · Describes the process for obtaining site authorization to access the target population. · Describes the site authorization process (what needs to be included in request) confidentiality measures, study participation requirements, and geographic specifics. · If public data sources or social media are used to collect data, although site permission is not required, provide arguments and evidence as to why these sources can be used without site permission. · Describes the sampling strategy and process forrecruiting individuals to comprise the sample. |
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Quantitative Sample Size Requirements Describes the expected study sample and the proposed andrationale: An a priorior equivalent analysis and/or post hoc Power Analysis is required to justify the study sample size based on the anticipated effect size and selected design. Certain procedures are applicable for small samples. Those situations must be justified through computation or literature. Justification is based on the selected design and statistical procedures. G*Power or equivalent computation is required. G*Power software can be downloaded from the link presented below http://www.gpower.hhu.de/en.html using an alpha error of 0.05, a medium effect size and statistical power of 0.80 for each statistical analysis that is proposed.” |
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For proposals, this section discusses a priori computation and for dissertation, this section discusses both a priori and post hoc computation of statistical power based on actual sample size obtained through data collection. Screenshots of the computation for each statistical test (proposals – a priori and dissertation – a priori and post hoc) should be included in the Appendix When calculating the expected return rate for questionnaires and surveys, assume the return rate is 5-10% when no incentives are provided and 15-20% when incentives are provided. Attrition: When doing repeated measures studies in an experiment, learners should consider probable loss to attrition. Qualitative Sample Size Requirements: The sample size should be stated for each form of data collection including interviews, observations, questionnaires, documents, artifacts, visual data such as drawings and photographs, etc. Case Study: Guideline: A minimum of 10 participants or cases in the final sample for interviews. Learners should pursue a minimum 20 individuals to recruit toaccount for attrition; minimum of three sources of data; must demonstrate triangulation of the data across two sources for each RQ. Case study interviews may include closed-ended questions with a dominance of open-ended questions; should be no less than 30 minutes; no less than five pages of participant responses/speech in the transcribed dataper interview, single spaced, 12 pt. Times New Roman.A minimum of 50 questionnaires if the questionnaires will be used for thematic analysis. The size for other sources (e.g., number of documents or artifacts, observations, etc. should also be identified. Phenomenology : Guideline: Minimum of 8 interviews. Learners should pursue 12 individuals to interview to account for attrition.Interviews should be 60-90 minutes. There should be no less than 12pages of transcribed data, single spaced, 12 pt. Times New Roman, per interview. Interview questions must be open-ended. Descriptive: Guideline: A minimum of 10 participants in the final sample. Learners should pursue a minimum 20 individuals to recruit; 2 sources of data; no less than 5 pages of transcribed data, single spaced, 12 pt. Times New Roman, per interview. Narrative: Purpose is a collection of stories around a phenomenon. Protocol offers questions that get the participant to tell their personal story regarding a phenomenon including the roles of stakeholders. Guideline: Minimum of 8 interviews. Learners should pursue 12 participants to account for attrition. Interviews should be 60-90 minutes. There should be no less than 12 pages of transcribed data, single spaced, 12 pt. Times New Roman, per interview. Interview questions must be open-ended. Note: A key criterion for selecting a sample size for a narrative study is to elicit long, in-depth of stories about the phenomenon which may be hours long. Grounded Theory: Grounded theory studies yield a theory or model. Usually two rounds of data collection with interim analysis. Minimum of 50pages of transcribed data from interviews, open-ended questionnaires, or other data sources. Transcriptsare 12point font and single spaced. Studies typically have a minimum of 10-30 interviews (45-60 minutes in length) and/or40-60 open-ended questionnaires. Interview questions must be open-ended. Questionnaires or Surveys: If used in the study the minimum number should be 40. This data collection method can be used in different qualitative designs. |
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Strategies to account for attrition: Students should consider the anticipated sample size will not be reached, so must provide a justification or alternative plan for the study (expanding time frame, expanding target population, changing design to bring down sample size needed, or adding an additional data collection approach, adjust an analysis). |
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Defines and describes the sampling procedures (such as convenience, purposive, snowball, random, etc.) supported by scholarly research sources. Includes discussion of sample selection, and assignment to groups (if applicable), and strategies to account for participant attrition. For a purposive sample identify the screening criteria and device for screening the participants (egg: demographic questionnaire, expert knowledge of topic, screening questions such as years of experience in a position). |
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Describes the study sample size. Provides evidence (based on the empirical research) literature that sample size is adequate for the research design and meets GCU required sample size requirements (listed in criteria below). |
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Section is written in a way that is well structured, has a logical flow, uses correct paragraph structure, uses correct sentence structure, uses correct punctuation, and uses correct APA format. |
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*Score each requirement listed in the criteria table using the following scale: 0 = Item Not Present or Unacceptable. Substantial Revisions are Required. 1 = Item is Present. Does Not Meet Expectations. Revisions are Required. 2 = Item is Acceptable. Meets Expectations. Some Revisions May be Suggested or Required. 3 = Item Exceeds Expectations. No Revisions are Required. |
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Reviewer Comments:
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Research Materials, Instrumentation ORSources of Data
This section fully identifies and describes the types of data that will be collected, as well as the specific research materials, instruments, and sources used to collect those data (tests, questionnaires, interviews, data bases, media, etc.). Discuss the specific research materials, instrument, or source to collect data for each variable or group for a quantitative study. Discuss the specificresearch materials, instrument(s), or source(s) to collect information to describe the phenomena being studied for a qualitative study.Use the “Instrumentation” heading for a quantitative study. Use the “Sources of Data” heading for qualitative research.Use the “Research Materials” heading is using materials for experiments other than instruments. Use appropriate APA level subheadings for each data collection instrument, sources, or research material and place a copy of all instruments and research materials in an appendix. For example, a subheading of “Sources of Data” might be “Interviews,” which should begin a new paragraph, and the term “Interviews” should be styled as Heading 3.
If you are using an existing instrument, make sure to discuss the characteristics of the instrument in detail. For example, on a preexisting survey tool describe: how the instrument was developed and constructed, the validity and reliability of the instrument, the number of items or questions included in the survey, the calculation of the scores, and the scale of measurement of data obtained from the instrument. Learners must also obtain all appropriate use permissions from instrument authors.Please note that GCU does not recommend developing or modifying instruments for quantitative studies and permission to do so must be obtained from the Assistant Dean.
For quantitative studies, distinguish between the validated instruments and the questions added by the researcher. The latter have to be justified as (1) data for one or more variables of interest in the study (included in the analysis), or (2) data needed for the sample profile (must be relevant to the topic), or (3) combination of both. Separate appendices required for each instrument; the validated instruments (or watermarked samples thereof) have to be accompanied by authors' or vendors' permission to use. Information required for quantitative validated instruments: (1) number and labels of scales (and subscales); (2) number or items per scale (and subscale); (3) type of scale/data (e.g., Likert scales produce technically ordinal data—ONLY SOME have a format that allows for APPROXIMATION to continuous data—required justification of approximation, with references); (4) method of data aggregation (e.g., for continuous scales: sum vs. mean vs. other mathematical formula).
For quantitative studies, describe the method of instrument administration. All instruments will be administered together,in a single session via online survey. If different instruments are administered separately to different participants, generate separate data files, establish the unit of analysis and create an identification for that as the key variable that will be used to merge the files—make sure to collect data for the key variable from all participants (include the key variable in all instruments).
If using research materials for an experiment for a quantitative study, discuss in detail not only the materials, but also the structure of the experiment or study. Describe all materials and how they will be used. Describe how the participant(s) interact with the materials during the experiment. In psychology and business, an experiment can be run to collect data for experimental, correlation and causal comparative designs. If using psychology data collection software tools such as e-Prime, learners should provide a copy of the software contract showing they are licensed to use the software. Validity and reliability of the experiment and materials must be argued using literature and similar studies.
For qualitative and quantitative studies, the learner often uses data sources other than instruments. These data sources may include databases, journals, participant drawings, photographs, documents, artifacts, and media. Additionally, learners will most likely develop their own interview or focus group guide, observation checklist, or other protocol when conducting a qualitative study. Therefore,learners mustdescribe in detail the process used to develop the instrument, including the research, literature, theory or expert in the field used to develop and justify the questions. Additionally, learners must describe how the validity and reliability of the instrument was established, which often include expert panel review, member checking, field testing and/or pilot testing.
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RESEARCH MATERIALS, INSTRUMENTATION, OR SOURCES OF DATA (Minimum one to three pages) |
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Data Collection Instruments/Materials : Provides a detailed discussion of the instrumentation and/or materials for data collection which includes validity and reliability of the data. collection instrument or experiment. Includes citations from original publications by instrument developers (and subsequent users as appropriate) or related studies. |
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Data Collection Instruments/Materials: Describes the structure of each data collection instrument and data sources (tests, questionnaires, interviews, observations data bases, media, etc.). When using materials for an experiment, describes the structure of the experiment and the materials used for it. Specifies the type and level of data collected with each instrument. |
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Section is written in a way that is well structured, has a logical flow, uses correct paragraph structure, uses correct sentence structure, uses correct punctuation, and uses correct APA format. |
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*Score each requirement listed in the criteria table using the following scale: 0 = Item Not Present or Unacceptable. Substantial Revisions are Required. 1 = Item is Present. Does Not Meet Expectations. Revisions are Required. 2 = Item is Acceptable. Meets Expectations. Some Revisions May be Suggested or Required. 3 = Item Exceeds Expectations. No Revisions are Required. |
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Reviewer Comments: |
Trustworthiness (for Qualitative Studies)
This section describes the four key elements that together serve to produce confidence in the research procedures and results of a qualitative study. These elements constitute the overarching concept of “trustworthiness.” The four elements are credibility, transferability, dependability, and confirmability. Credibility and transferability are the qualitative version of validity, and dependability and confirmability are the qualitative version of reliability.
Learners can start this discussion by (1) defining the concept (e.g., credibility), (2) identifying the “threats” (biases or weaknesses) inherent in their methodology (design, sampling, data collection procedures and sources of data/instruments, and data analysis), and (3) describing how they will minimize such threats (e.g., reflexivity for subjective bias in qualitative data analysis).The following are steps taken by a qualitative researcher to ensure the research is trustworthy, and are from Shenton (2004, p. 73), based on Guba’s (1981) four criteria for trustworthiness. The researcher should address as many as are applicable to the design selected.
Credibility. Credibility refers to how well the study’s findings accurately represent the experiences of participants for the sample under study. In other words, credibility describes the internal validity of the study. Some strategies qualitative researchers use to ensure credibility include:
· Adoption of a well-established data collection plan.
· Fundamental knowledge of naturalistic inquiry, which is the essence of naturalistic inquiry is that research is conducted in natural settings, that is, in settings where the participants live or engage in activities that are relevant to the phenomenon under study. (Armstrong, 2010; Lincoln & Guba, 1985)
· Deep engagement, which means sufficient time is given to listen, document, and achieve saturation of data.
· Member checking, which increases the authenticity of the final transcript.
· Narrative truth, which means the researcher represents the authenticity of participants’ reflections, comments, stories, and perspectives.
· Negative cases and rival explanations, which include evidence that does not fit the pattern that emerges during analysis, and provide explanation.
· Researcher reflexivity, which is how the researcher maintain awareness about how results unfold, documenting emerging patterns.The researcher’s positionality or “reflective commentary:” allows researcher to clearly state the lens through which the social world is interpreted and discuss how the researcher’s background influences data collection and analysis (Lincoln& Guba, 1985).
· Thick description, which isthe context(s) of the participants be described in a rich and detailed manner.
· Triangulation via use of different data collection methods, different informants, different locations
· Researcher experience, which includes a description of background, qualifications, and experience of the researcher (researcher positionality)
Transferability. Transferability refers to the degree to which findings are applicable to policy, practice, and future research, or the degree to which the results of a qualitative study apply to other people or contexts. Transferability addresses the external validity and is the qualitative version of “generalizability” of the study’s results.
· Thick description that provides background data to establish context of study and detailed description of phenomenon in question to allow comparisons of the context can be made to other contexts. The greater the detailed description of the phenomena, the more meaningful the results may be when informing another context.to be made.
· Sampling sufficiency, which refers both to the sample size and to the appropriateness of the sample, so that the participants experience the phenomena so that the data collected from them provide insight into the phenomena.
Dependability. Dependability refers to the degree to which research procedures are documented and are reliable. Techniques used to demonstrate dependability include:
· Audit trail, which is documentation of the inquiry process.
· Evidence, which includes full transcripts, careful documentation of data gathering sessions, media (audiotapes, videotapes, documents, photographs)Employment of “overlapping methods.”
· An in-depth methodological descriptionthat provides a comprehensible record of how data were collected and analyzed. Meticulous description increases soundness of study that can be useful for future studies.
· Records of the data analysis process, which includes codebooks, how coding schemes were developed, documentation of initial codes secondary codes, categories, with multiple examples from the dataset (interview transcripts, observational records, focus group transcripts, for example).
· Clear alignment of gap, problem statement, research questions, methodology, research design.
· Peer debriefing, which includes consulting with mentors or experienced qualitative researchers to discuss and receive feedback on the study, prior to, during, and after the completion of the study.
· Test the strength of the analysis and interpretation, which includes checking analysis and interpretation against documents, records, recordings (the dataset).
Confirmability. Confirmability refers to the objectivity or the ability of others to confirm or corroborate findings (Chess, 2017, section 3, para. 3). Qualitative researchers develop confirmability through:
· Coding, which is clear and well defined; the naming of patterns identified in the data; patterns can include stories, ideas, specific participant-offered terms, and phrases.
· Providing ample evidence to support claims.
· Intercoder reliability. The extent to which two researchers, coding data based on the same codebook (an inductively developed list of codes and their definitions) code the data in the same way.
· Rival explanations and negative cases. Identify examples that do not fit a pattern that is emerging. These might indicate an alternative organizing scheme, or may be the exception that proves the rule (Creswell & Miller, 2000; Patton, 1999)
· Researcher reflexivity, which is how the researcher maintain awareness about how results unfold, documenting emerging patterns.The researcher’s positionality or “reflective commentary:” allows researcher to clearly state the lens through which the social world is interpreted and discuss how the researcher’s background influences data collection and analysis (Lincoln& Guba, 1985).
· In-depth methodological description to allow integrity of research results to be scrutinized.
· Admission or statement of researcher’s beliefs and assumptions.*
· Recognition of shortcomings in study’s methods and their potential effects.*
· *These are covered in the assumptions and limitations sections of the dissertation.
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TRUSTWORTHINESS (for Qualitative Studies) Trustworthiness is the term used to describe the elements that establish the credibility, transferability, dependability, and confirmability of the study. (Minimum two to four paragraphs or approximately one page) |
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Qualitative “validity” is composed of credibility and transferability. Strategies generally include rigorous techniques and methods, thick description, audit trails, evident methodological processes and procedures, well-defined coding, ample examples of quotes, and findings that clearly emerge from the data. |
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· Defines the concepts of credibility, transferability · Credibility: discusses how the study represents the participants’ experiences · Transferability: discusses how the study’s findings may be applicable to policy, practice, future research |
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· Describes the threats to the credibility and transferability of the study inherent in the study design, sampling strategy, data collection method/instruments, and data analysis · Addresses how these threats will be minimized |
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Qualitative “reliability” is composed of dependability and confirmability. Establishes consistency and repeatability of data collection through in-depth documented methodology; detailed interview/observation/data collection protocols and guides; creation of research data-base; and/or use of triangulation. |
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· Defines concepts of dependability and confirmability |
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· Dependability: discusses how the study documents research procedures |
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· Confirmability: discusses how the study could be confirmed or findings corroborated by others |
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· Describes the threats to dependability and confirmability of the study inherent in the study design, sampling strategy, data collection method/instruments, and data analysis · Addresses how these threats will be minimized |
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Appendices must include copies of instruments, materials, qualitative data collection protocols, codebook(s), and permission letters from instrument authors (for validated instruments, surveys, interview guides, etc.) |
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Section is written in a way that is well structured, has a logical flow, uses correct paragraph structure, uses correct sentence structure, uses correct punctuation, and uses correct APA format. |
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*Score each requirement listed in the criteria table using the following scale: 0 = Item Not Present or Unacceptable. Substantial Revisions are Required. 1 = Item is Present. Does Not Meet Expectations. Revisions are Required. 2 = Item is Acceptable. Meets Expectations. Some Revisions May be Suggested or Required. 3 = Item Exceeds Expectations. No Revisions are Required. |
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Reviewer Comments:
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Validity (for Quantitative Studies)
This section describes and defends the procedures used to determine the validity of the data collected. Validity refers to the degree to which a study accurately reflects or assesses the specific concept that the researcher is attempting to measure. Ask if what is being measured is what was set out to be measured. Researchers must be concerned with both external and internal validity. External validity refers to the extent to which the results of the study are generalizable (quantitative) or transferable (qualitative) to the population. Internal validity refers to the rigor with which the study was conducted (study design, theory instrumentation, measurements, etc.).For this section, provide specific validity statistics for quantitative instruments, identifying how they were developed. Explain specific approaches on how validity will be addressed for qualitative data collection approaches.
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VALIDITY (for Quantitative Studies)/TRUSTWORTHINESS (for Qualitative Studies) (Minimum two to four paragraphs or approximately one page) |
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Quantitative Studies : Provides specific validity statistics for quantitative instruments, identifying how they were developed. Validated surveys cannot be used in part or adapted. Validated instruments borrowed by the learner must be included in the proposal/dissertation appendices as a pdf or jpeg document along withthe learner’s word file of his/her version of the instrument (whose content should be identical with that of the original pdf). NOTE: Learners should not modify or develop quantitative instruments without permission from the Director of Dissertations. Qualitative Studies : Trustworthiness is the term used to describe the elements that establish the credibility, transferability, dependability, and confirmability of the study. Strategies generally include rigorous techniques and methods, thick description, audit trails, evident methodological processes and procedures, well-defined coding, ample examples of quotes, and findings that clearly emerge from the data. Defines the concept of credibility or dependability. Describes the threats to the credibility or dependability of the study inherent in the study design, sampling strategy, data collection method/instruments, and data analysis Addresses how these threats will be minimized. |
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Appendices must include copies of instruments, materials, qualitative data collection protocols, codebooks, and permission letters from instrument authors (for validated instruments, surveys, interview guides, etc.) |
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Section is written in a way that is well structured, has a logical flow, uses correct paragraph structure, uses correct sentence structure, uses correct punctuation, and uses correct APA format. |
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*Score each requirement listed in the criteria table using the following scale: 0 = Item Not Present or Unacceptable. Substantial Revisions are Required. 1 = Item is Present. Does Not Meet Expectations. Revisions are Required. 2 = Item is Acceptable. Meets Expectations. Some Revisions May be Suggested or Required. 3 = Item Exceeds Expectations. No Revisions are Required. |
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Reviewer Comments:
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Reliability(for Quantitative Studies)
This section describes and defends the procedures used to determine the reliability of the data collected. Reliability is the extent to which an experiment, test, or any measuring procedure is replicable and yields the same result with repeated trials. For this section, providespecific reliability statistics for quantitative instruments, identifying how the statistics were developed. Explain specific approaches on how reliability will be addressed for qualitative data collection approaches.
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RELIABILITY (Minimum two to four paragraphs or approximately one page) |
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Quantitative Studies: Provides specific reliability statistics for quantitative instruments, identifying how the statistics were developed. Explains specific approaches on how reliability will be addressed for qualitative data collection approaches. Qualitative Studies: Establishes consistency and repeatability of data collection through in-depth documented methodology; detailed interview/observation/data collection protocols and guides; creation of research data-base; and/or use of triangulation. |
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Section is written in a way that is well structured, has a logical flow, uses correct paragraph structure, uses correct sentence structure, uses correct punctuation, and uses correct APA format. |
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X |
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*Score each requirement listed in the criteria table using the following scale: 0 = Item Not Present or Unacceptable. Substantial Revisions are Required. 1 = Item is Present. Does Not Meet Expectations. Revisions are Required. 2 = Item is Acceptable. Meets Expectations. Some Revisions May be Suggested or Required. 3 = Item Exceeds Expectations. No Revisions are Required. |
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Reviewer Comments:
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Data Collection and Management
This section details the entirety of the process used to collect the data. Describe the step-by-step procedures used to carry out all the major steps for data collection for the study in a way that would allow another researcher to replicate the study. Think of this section of Chapter 3 as a recipe, that needs to be carefully followed to produce the best possible study results (or “entrée”). Review the Criteria Table below for the exact requirements in this section. It is critical this section is clear, comprehensive, and details the exact steps used in the data collection process.
If you were to inset a table in this chapter, set it upas shown below. Refer to Table 1 for formatting instructions.
Table 2. Equality of Emotional Intelligence Mean Scores by Gender
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t test for Equality of Means |
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t |
df |
p |
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EI |
1.908 |
34 |
.065 |
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Criterion *(Score = 0, 1, 2, or 3) |
Learner Score |
Chair Score |
Methodologist Score |
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DATA COLLECTION AND MANAGEMENT (Minimum one to three pages) |
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Quantitative Studies: Describes the procedures for the actual data collection that would allow replication of the study by another researcher, including how each instrument or data source was used, how and where data were collected, andrecorded. Includes a linear sequence of actions or step-by-step of procedures used to carry out all the major steps for data collection. Includes a workflow and corresponding timeline, presenting a logical, sequential, and transparent protocol for data collection that would allow another researcher to replicate the study. Data from different sources may have to be collected in parallel (e.g., paper-and-pen surveys for teachers, corresponding students, and their parents AND retrieval of archival data from the school district). A flow chart is ok—"linear" may not apply to all situations Qualitative Studies: Provides detailed description of data collection process, including all sources of data and methods used, such as interviews, member checking, observations, surveys, and expert panel review. Note: The collected data must be sufficient in breadth and depth to answer the research question(s) and interpreted and presented correctly, by theme, research question and/or instrument. |
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Describes the procedures for obtaining participant informed consent and for protecting the rights and well-being of the study sample participants. Include site authorization letter(s) and participants' informed consent (parents' consent and children's consent, as needed) in appendices. |
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X |
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Describes how raw data are prepared for analysis (i.e., transcribing interviews, conducting member checking, downloading from SPSS and checking for missing data). Describes (for both paper-based and electronic data) the data management procedures adopted to maintain data securely, including the length of time data will be kept, where it will be kept, and how it will be destroyed |
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Section is written in a way that is well structured, has a logical flow, uses correct paragraph structure, uses correct sentence structure, uses correct punctuation, and uses correct APA format. |
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X |
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*Score each requirement listed in the criteria table using the following scale: 0 = Item Not Present or Unacceptable. Substantial Revisions are Required. 1 = Item is Present. Does Not Meet Expectations. Revisions are Required. 2 = Item is Acceptable. Meets Expectations. Some Revisions May be Suggested or Required. 3 = Item Exceeds Expectations. No Revisions are Required. |
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Reviewer Comments: |
Data Analysis Procedures
This section provides a step-by-step description of the procedures to be used to conduct the data analysis. The key elements of this section include the process by which raw data were prepared for analysis and then subsequently analyzed.Overall, be surethat the language used to describe the data analysis procedure isconsistently used in Chapters 4 and 5.
Here is an example of a figure and its caption:
Figure 1.Correlation for SAT composite score and time spent on Facebook.
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Criterion *(Score = 0, 1, 2, or 3) |
Learner Score |
Chair Score |
Methodologist Score |
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DATA ANALYSIS PROCEDURES (Minimum one to three pages) |
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Lists the problem statement or purpose statement, along with theresearch question(s). Also includes the null and alternative hypotheses for quantitative studies. |
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X |
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Describes in detail the relevant data collected for each stated research question and/or each variable within each hypothesis (if applicable). Quantitative Studies: "In detail" means scales (and subscales) of specified instruments AND type of data for each variable of interest. IMPORTANT: For (quasi) experimental studies, provide detailed description of all treatment materials per treatment condition, as part of the description of the independent variable corresponding to the experimental manipulation.
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X |
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Describes, in detail, the data management practice including how the raw data were organized and prepared for analysis, i.e., ID matching of respondents who may respond to more than one survey/instrument, coding/recoding of variables, treatment of missing values, scoring, calculations, etc. Qualitative Studies: (1) describes transcription process for interviews, focus groups, descriptive statistics (mean scores, percentages) calculated for surveys, observation checklists, etc. |
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What: Describes, in detail, statistical and non-statistical analysis to be used and procedures used to conduct the data analysis. Quantitative Studies: (1) describe data file preparation (descriptive statistics used to check completeness and accuracy; for files from different sources, possibly aggregating data to obtain a common unit of analysis in all files, necessarily merging files (using the key variable defining the unit of analysis); (2) computation of statistics for the sample profile; (3) computation of (subscales and) scales; (4) reliability analysis for all scales and subscales; (5) computation of descriptive statistics for all variables of interest in the study (except those already presented in the sample profile); (6) state and justify all statistical procedures ("tests") needed to generate the information to answer all research questions; and (7) state assumptions checks for all those statistical procedures (including the tests and / or charts to be computed).
Qualitative Studies:This section begins by identifying anddiscussingthe specific analysis approach or strategy, followed by a discussion of coding procedures used. Note: coding procedures may be different for Thematic Analysis, Narrative Analysis, Phenomenological Analysis, or Grounded Theory Analysis. |
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Why: Provides the justification for each of the (statistical and non-statistical) data analysis procedures used in the study. If a change in analysis was made, explains what was actually done versus what was planned and why. |
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How: Demonstrates how the statistical and non-statistical data analysis techniques align with the research questions/design. |
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Quantitative Analysis - states the level of statistical significance for each test as appropriate, and describes tests of assumptions for each statistical test. Qualitative Analysis - evidence of qualitative analysis approach, such as coding and theming process, must be completely described and included the analysis /interpretation process. Clear evidence from how codes moved to themes must be presented. |
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Provides evidence that quantity and quality of data is sufficient to answer the research questions. This must be present in this section or in an appendix including data samples. |
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Section is written in a way that is well structured, has a logical flow, uses correct paragraph structure, uses correct sentence structure, uses correct punctuation, and uses correct APA format. |
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*Score each requirement listed in the criteria table using the following scale: 0 = Item Not Present or Unacceptable. Substantial Revisions are Required. 1 = Item is Present. Does Not Meet Expectations. Revisions are Required. 2 = Item is Acceptable. Meets Expectations. Some Revisions May be Suggested or Required. 3 = Item Exceeds Expectations. No Revisions are Required. |
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Reviewer Comments:
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Ethical Considerations
This section should demonstrate adherence to the key principles of the Belmont Report (respect, justice and beneficence) in the study design, sampling procedures, and within the theoretical framework, research problem, and questions. Learnersshould clearly discuss how data will bestored, safeguarded, and destroyed, as well as how the results of the study will be published. This section should also reference IRB approval to conduct the research, which includes subject recruiting, informed consent processes,and the voluntary nature of study. Please see the Figure 2 below regarding IRB approval requirements.Additionally, the learner should identify the potential risks for harm that are inherent in the study, in lieu of just listing what they are doing to ensure confidentiality. Finally, the IRB approval letter with the protocol number, informed consent/subject assent documents, site authorization letter(s), or any other measures required to protect the participants or institutions, must be included in the appendices.
Figure 2. IRB alert.
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ETHICAL CONSIDERATIONS (Minimum three to four paragraphs or approximately one page) |
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Provides a discussion of ethical issues, per Belmont Report and IRB guidelines, related to the study and the study population of interest.
Explains which principles / issues are relevant to the study.
Identifies the potential risks for harm that are inherent in the study. |
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Describes the procedures for obtaining informed consent and for protecting the rights and well-being of the study sample participants. |
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Addresses key ethical criteria of anonymity, confidentiality, privacy, strategies to prevent coercion, and any potential conflict of interest. |
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Describes the data management procedures adopted to store and maintain paper and electronic data securely, including the length of time data will be kept, where it will be kept, and how it will be destroyed. Explains what he/she planned to do / did to implement each of the principles / issues that are relevant the study data management, data analysis, and publication of findings. Note: Learners are required to securely maintain and have access to raw data/records for a minimum of three years. If asked by AQR reviewer or CDS representative, learner must provide all evidence of data including source data, Excel files, interview transcripts, evidence of coding or data analysis, or survey results, etc. No dissertation will be allowed to move forward in the review process if data are not produced upon request. |
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Includes copy of IRB Informed Consent (Proposal) and IRB Approval letter (Dissertation) in an Appendix. All approvals, consent forms, recruitment, and data collection materials are mentioned in the Data Collection section and included in separate appendixes (with appropriate in-text references). |
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Section is written in a way that is well structured, has a logical flow, uses correct paragraph structure, uses correct sentence structure, uses correct punctuation, and uses correct APA format. |
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X |
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*Score each requirement listed in the criteria table using the following scale: 0 = Item Not Present or Unacceptable. Substantial Revisions are Required. 1 = Item is Present. Does Not Meet Expectations. Revisions are Required. 2 = Item is Acceptable. Meets Expectations. Some Revisions May be Suggested or Required. 3 = Item Exceeds Expectations. No Revisions are Required. |
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Reviewer Comments:
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Limitations and Delimitations
While Chapter 1 addresses the broad, overall limitations and delimitationsof the study, this section discusses, in detail, the limitations and delimitations related to the research methodology and design and potential impacts on the results.The section also describes any limitations and delimitationsrelated to the methods, sample, instrumentation, data collection process and analysis. Other methodological limitations and delimitationsof the study may include issues regarding the study design, sample in terms of size, population and procedure, instrumentation, data collection processes, and data analysis. This section also contains an explanation of why the existing limitations are unavoidable and are not expected to affect the results negatively.
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LIMITATIONS AND DELIMITATIONS (Minimum two to three paragraphs) |
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Reiterates those limitations listed in Ch. 1 and explains why the existing limitations are unavoidable. Describes any delimitations related to the methodology, sample, instrumentation, data collection process and analysis. Note: This section must be updated as limitations emerge in the data collection/analysis, and then incorporated in Chapter 5 the limitations overall and how the study results were affected. |
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States consequences of each limitation and delimitation in terms of data quantity, quality, and validity / generalizability of the findings.
Discusses strategies to minimize and/or mitigate the negative consequences of limitations and delimitations. |
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Section is written in a way that is well structured, has a logical flow, uses correct paragraph structure, uses correct sentence structure, uses correct punctuation, and uses correct APA format. |
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*Score each requirement listed in the criteria table using the following scale: 0 = Item Not Present or Unacceptable. Substantial Revisions are Required. 1 = Item is Present. Does Not Meet Expectations. Revisions are Required. 2 = Item is Acceptable. Meets Expectations. Some Revisions May be Suggested or Required. 3 = Item Exceeds Expectations. No Revisions are Required. |
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Reviewer Comments: |
Summary
This section restates what was written in Chapter 3 and provides supporting citations for key points. The summary should demonstrate an in-depth understanding of the overall research design and analysis techniques. The Chapter 3 summary ends with a discussion that transitions the reader to Chapter 4.
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CHAPTER 3 SUMMARY (Minimum one to two pages) |
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Summarizes key points presented in Chapter 3 using authoritative, empirical sources/citations. |
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Document shows alignment of title, problem statement, purpose statement, RQs and hypotheses, methodology, design, data collection and instruments, and analysis. |
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Ends Chapter 3 with a transition discussion to focus for Chapter 4. |
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The Chapter is correctly formatted to dissertation template using the Word Style Tool and APA standards. Writing is free of mechanical errors. |
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All research presented in the Chapter is scholarly, topic-related, and obtained from highly respected academic, professional, original sources. In-text citations are accurate, correctly cited and included in the reference page according to APA standards. |
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Section is written in a way that is well structured, has a logical flow, uses correct paragraph structure, uses correct sentence structure, uses correct punctuation, and uses correct APA format. |
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*Score each requirement listed in the criteria table using the following scale: 0 = Item Not Present or Unacceptable. Substantial Revisions are Required. 1 = Item is Present. Does Not Meet Expectations. Revisions are Required. 2 = Item is Acceptable. Meets Expectations. Some Revisions May be Suggested or Required. 3 = Item Exceeds Expectations. No Revisions are Required. |
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Reviewer Comments:
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References
Adams, R. (2014, March 28). White students get better degrees than minority peers with same entry degrees. Guardian. Retrieved from https://www.theguardian.com/education/2014/mar/28/white-students-better- degrees- minorities-same-grades-universities
Allen, M. (2017). The relevance of critical race theory: impact on students of color. Urban Education Research & Policy Annuals, 5(1), 1-12.
Allen, M. (Ed.). (2017). The SAGE encyclopedia of communication research methods. Thousand Oaks, CA: Sage Publications.
Bartel-Radic, A., & Giannelloni, J. L. (2017). A renewed perspective on the measurement of cross-cultural competence: An approach through personality traits and cross- cultural knowledge. European Management Journal, 35(5), 632-644.
Bayanova, L. F., Tsivilskaya, E. A., Bayramyan, R. M., & Chulyukin, K. S. (2016). A cultural congruence test for primary school students. Psychology in Russia, 9(4), 94-105.
Boberg, J. E., Bourgeois, S. J., & Bryant, D. (2016). The effects of integrated transformational leadership on achievement. Journal of Educational Administration. 1-12.
Carnoy, M., & Garcia, E. (2017). Five key trends in U.S. student performance. Washington, DC: Economic Policy Institute. Retrieved from https://www.epi.org/publication/five-key-trends-in-u-s-student-performance - progress-by-blacks-and-hispanics-the-takeoff-of-asians-the-stall-of-non-english- speakers-the-persistence-of-socioeconomic-gaps-and-the-damaging-effect/
Cresswell, J. W., & Cresswell, I. D. (2017). Research design (5th ed.). Thousand Oaks, CA: SAGE Publications
Cruz, J. P., Aguinaldo, A. N., Estacio, J. C., Alotaibi, A., Arguvanli, S., Cayaban, A. R. R., ... & Sebaeng, J. (2018). A multicountry perspective on Cultural competence among baccalaureate nursing students. Journal of Nursing Scholarship, 50(1), 92- 101.
Diller, J., & Moule J. (2012). Cultural competence: A primer for educators (2nd ed.). Belmont, CA: Thomson Wadsworth.
Doyle, L., McCabe, C., Keogh, B., Brady, A., & McCann, M. (2020). An overview of the qualitative descriptive design within nursing research. Journal of Research in Nursing, 25(5), 443-455.
Forsyth, C., Irving, M., Short, S., Tennant, M., & Gilroy, J. (2019). Students don't know what they don't know: Dental and oral health students' perspectives on developing cultural competence regarding indigenous peoples. Journal of Dental Education, 83(6), 679-686.
Frey, W. H. (2020). The nation is diversifying even faster than predicted, according to new census data. Brookings. Retrieved from https://www.brookings.edu/research/new-census-data-shows-the-nation-is - diversifying-even-faster-than-predicted/
Genao, S. (2016). Culturally responsive pedagogy: Reflections on mentoring by educational leadership candidates. Issues in Educational Research, 26(3), 431- 445. Retrieved from https://search.proquest.com/docview/2393121345?accountid=45049
Goddard, J. (2010). Toward glocality: Facilitating leadership in an age of diversity. Journal of School Leadership, 20(1), 37–56
Grothaus, T., Crum, K. S., & James, A. B. (2010). Effective leadership in a culturally diverse learning environment. International Journal of Urban Educational Leadership, 4(1), 111–125.
Hernandez, C. M., Morales, A. R., & Shroyer, M. G. (2013). The development of a model of culturally responsive science and mathematics teaching. Cultural Studies of Science Education, 8(4), 803-820.
Jackson, C., & Addison, K. L. (2018). Understanding the relationships between poverty, school factors and student achievement. Montgomery County Public Schools.
Ladson-Billings, G. (2014). Culturally relevant pedagogy 2.0: aka the remix. Harvard Educational Review, 84(1), 74-84.
Litts, B. K., Tehee, M., Jenkins, J., Baggaley, S., Isaacs, D., Hamilton, M. M., & Yan, L. (2020). Culturally disruptive research: a critical (re) engagement with research processes and teaching practices. Information and Learning Sciences.
Mawhinney, L. (2018). Cross‐Cultural Competence and Teacher Training. The TESOL Encyclopedia of English Language Teaching, 1-6.
Miksic, M. (2014). The persistent achievement gaps in American education. New York, NY: CUNY Institute for Education Policy.
National Center for Education Statistics. (2021). Racial/Ethnic enrollment in public schools. Retrieved from https://nces.ed.gov/programs/coe/indicator_cge.asp
Oplatka, I., & Arar, K. (2016). The field of educational administration as an arena of knowledge production: Some implications for Turkish field members. Research in Educational Administration & Leadership (REAL), 1(2), 161-186
Passel, J. S., & Cohn, D. (2008). U.S. population projections: 2005-2050. Pew Research Center. Retrieved from https://www.pewresearch.org/hispanic/2008/02/11/us- population- projections-2005-2050/
Pope, R. L., Reynolds, A. L., & Mueller, J. A. (2014). Creating multicultural change on campus. Hoboken, NJ: John Wiley & Sons.
Poucher, Z. A., Tamminen, K. A., Caron, J. G., & Sweet, S. N. (2020). Thinking through and designing qualitative research studies: A focused mapping review of 30 years of qualitative research in sport psychology. International Review of Sport and Exercise Psychology, 13(1), 163-186.
Saunders, B., Sim, J., Kingstone, T., Baker, S., Waterfield, J., Bartlam, B., ... & Jinks, C. (2018). Saturation in qualitative research: exploring its conceptualization and operationalization. Quality & quantity, 52(4), 1893-1907.
Tomlinson, H. (2013). Educational management: Major themes in education. New York: Routledge.
Triggs, A. D. (2021). Fostering cross-cultural competence in linguistically and culturally diverse learners. In L, Wellner & K, Pierce-Friedman, supporting early career teachers with research-based practices (pp. 130-146). Hershey, PA: IGI Global.
Urban, W., Wagoner, J., & Gaither, M. (2019). American education: A history (6th ed.). Boston, MA: McGraw-Hill.
Appendix A. Site Authorization Letter(s)
This is a required Appendix for Level 2 and Level 5 Reviews.
For purposes of confidentiality, this will be removed prior to Dean’s signature and the following text will be inserted:
Site authorization(s) on file at Grand Canyon University.
Appendix B. IRB Approval Letter
This is not the D-form! Use the approval letter that you received upon IRB approval.
This Appendix is required in the full dissertation only.
Appendix C. Informed Consent
This is a required Appendix.The text to the informed consent that will be provided to learners after IRB approval (at proposal stage), or the text of informed consent that was provided (without signatures) at dissertation stage, should be attached here.
Appendix D. Copy of Instruments and Permissions Letters to Use the Instruments
This is a required Appendix.
Appendix E. Power Analyses for Sample Size Calculation (Quantitative Only)
Required for both proposal and dissertation:
· Proposal must include the apriori computation of the sample size;
· The dissertation must include the a prioricomputation of sample size, and, if the recruited sample size is smaller than the a priori sample size, it must also include a post hoc computation of the effect size at power level 0.80.
· Include a screen shot (graphic image) of the G*Power output.
Appendix F. Additional Appendices
Additional appendices may include statistical results, interview transcripts, raw data (as appropriate), or other critical information pertinent to the dissertation. Consult with the chair on additional appendices appropriate for the dissertation.