EMHSS699_research
2 years ago
6
AnalyzingtheData.pdf
QuantitativeResearch.pdf
TheAnnotatedBibliography.pdf
QualitativeResearch.pdf
TheLiteratureReview.pdf
Weeks5-12_ConductingtheResearch.pdf
GatheringtheData.pdf
Notresearchonhumansubject.pdf
EMHS699_Overall_instruction.pdf
- GraduateStudyResourcesinLibrary.docx
- 6902Howtodoaresearchinterview-YouTube.pdf
- 6902Chapter8SurveyMethodologyPart1-YouTube.pdf
- Owono__________WK3_211.docx
AnalyzingtheData.pdf
Analyzing the Data Analysis of quantitative data is straightforward, as long as there are no errors in the data arrays or computational errors. The biggest errors at the master's level are using the wrong statistical method or not knowing what statistical method to apply. Fortunately, there are many resources to help design the computation correctly. Within the APUS library is a series of math based videos.
Analysis of qualitative data is fraught with opportunities for error. The most common error is bias. Because words are the data element, and because any two humans will often perceive the exact same word in different ways, it's absolutely vital for the researcher to ensure that he or she is not writing their own meaning into the words that are being studied. Doing this perfectly of course is impossible, since we cannot remove ourselves totally from the observation and evaluation process. However, qualitative researchers make every effort to be conscious of the potential for bias at all times.
Qualitative analysis is largely a matter of pattern matching and looking for replication in word patterns and themes. The theory is that the more prevalent a pattern or theme is, the more likely it is to be true. Again, the possibility for error is significant. Group-think, for example, can provide a single theme answer that is absolutely wrong, and if the researcher does not realize what is happening, then the research will not be valid. A useful electronic book from the APUS library is Qualitative Research in Practice: Stories From the Field
Despite these issues, the careful researcher can ward off questions of validity and make positive contributions to knowledge and society. It just takes attention and effort.
QuantitativeResearch.pdf
Quantitative Research If the research will be a statistical analysis of numerical data, then the research will be quantitative. Quantitative research is considered to be more valid than qualitative research, because of the 'numbers don't lie' factor and because the statistical analysis can be readily replicated. It is more likely that two independent researchers doing quantitative analysis will come up with the same answer than the similar circumstance where the research is qualitative. Because of the perceived increase in validity, efforts are sometimes made to convert qualitative data to quantitative data through coding so that statistics can be run and hypotheses tested.
A good webinar on methodology and how it can be used in your thesis is located through the APUS library.
TheAnnotatedBibliography.pdf
The Annotated Bibliography The first step in data collection is the development of the annotated bibliography. The research concept is to gather all information that is known about the problem so that the current project research can delve into the unknown and new knowledge can be developed.
The development project is typically large and detailed. Every resource that can be found is evaluated to determine if it adds knowledge and value to the project. If so, then a short description of that value is noted in the bibliography along with the title, author, etc. The process is repeated until no further pertinent sources can be found.
The body of knowledge that is built through the development of the bibliography will indicate where the research can jump off and expand into unknown territory and produce new knowledge. For example, one may find that studies have been completed that show how many people moved out of Gulfport after Hurricane Katrina. However, there may been no studies that examined how many people had moved back. That then becomes a ready-made research project with research questions.
Because the annotated bibliography is typically large, it is not contained in the final report itself.
QualitativeResearch.pdf
Qualitative Research Once the general parameters are established and the type of available data that can be accessed or developed is known, then it's time to select a methodology. Often when beginning a research project, it's impossible to know how you will eventually analyze the data, so an open mind is required. Probably 99% of research is qualitative. Only when numerical analysis is used to generate statistics does one have quantitative research. Here's an example that illustrates the difference:
Smith is a running back in the NFL. On a given Sunday, he averages 4.7 yards per carry. HYPOTHESIS: Smith's average is significantly different from that of the running backs in the rest of the league. A sample is taken of running back performances and the mean and standard deviation are calculated. The analysis indicates that Smith's 4.7 average is not significantly different from the 4.5 average of the rest of the league and the hypothesis is dis-proven. That's quantitative research. Two ESPN analysts are sitting around on Monday discussing Smith's performance. One observes that his 4.7 average enabled his team to dominate the opponent that particular week and so is one of the stellar performances of the weekend. Even though the analyst used the statistic to help make his point, he's still conducting a qualitative observation. Quantitative research only happens when the researcher develops a statistic that is then compared to another statistic for the purpose of testing a hypothesis. Everything else, including using numbers and statistics in a narrative, is qualitative research.
Qualitative research is more readily 'doable', and has the advantage of producing results that are more 'human' in nature and are therefore more useful to society.
A good webinar on methdology and how it can be used in your thesis is located through the APUS library.
TheLiteratureReview.pdf
The Literature Review The literature review examines what others have researched and written on your research topic. Each research topic includes numerous areas or themes to examine. Once you have identify themes within your area of research begin with an outline. This will allow you to see what areas exist and then you can find gaps. Fill in the gaps.
Now that you have a full outline, begin with a topic sentence related to the subtopics you have identified. Next, find literature you identified in the annotated bibliography that relates to this topic and use these sources to critically evaluate the topic. You may find agreement, disagreement, overlap, and gaps in the literature. The gaps and disagreements are areas in which you can determine if your research may address. If so, this adds to the validity of the research. If not, this gap or disagreement may be an area of future study. You may find you need more literature at this point and you can return to the academic databases in the library to refine your searches. You should ensure that you look at other business sectors as you compile your literature review. We can not solve problems through research only looking within our discipline. If we had the answer, we would not need to conduct research.
While there are not page minimums or maximums on the literature review, the literature review provides a basis for your study and must cover all of the literature and topics related to research study. Failure to connect your research to the literature will lessen the strength of your study.
A recorded webinar on the literature review and its contents, purpose and connection to the overall research study is located through the APUS library.
A recorded webinar on the development of Research Questions and Literature Review can be found.
Weeks5-12_ConductingtheResearch.pdf
Weeks 5 - 12: Conducting the Research
Learning Outcomes
CO-2: Design a research process that gathers data, applies an appropriate methodology, and
draws the appropriate conclusions.
CO-3: Synthesize recommendations that improve theory and operations in the field of
emergency management.
Back to Content
GatheringtheData.pdf
Gathering the Data "Between the opening and the endgame, the gods have decreed that there will be a middle game." (Old Chess Proverb)
Project development is now complete. What's known has been identified, what's unknown has been identified, and a research strategy to find out the answers to what's unknown has been developed. Now it's time to get to work.
Much of the data that is likely to be required may already have been gathered as part of the development of the bibliography if you are completing desk research. Sometimes answers can be found by looking at old data in new ways.
However, it's quite likely that at least some new data will be required, which will be gained by gathering previously unknown resources or by creation through interviews, surveys, observations, and other data-creation methods. It is important that the data collection properly matches to the research questions and will be able to answer the research questions. As a student under time and location constraints, it is important to understand your ability to collect the data. If you want to interview local responders from the Haiti earthquake, can you travel to Haiti or develop a data collection strategy to gather the information remotely? Surveys are commonly utilized, but can fail if not written properly. Decide if limited answers, such as Likert Scales and multiple choice answers can adequately answer your research questions. If not, you may need an additional data gathering instrument, such as an interview. It is not uncommon to use more than one data gathering instrument to fully answer your research questions. However, I caution that you only have 16 weeks for the entire course. Be sure your design matches your time constraints.
The process of gathering new quantitative data is usually pretty straightforward. An experiment is conducted, results are written down, and statistical analysis applied. A result pops out, and the hypothesis is proven or dis-proven. Pretty straightforward.
The qualitative analysis process is more complex. Data is gathered. The data is evaluated to determine if the research question has been answered. If not, then more data is gathered. This process continues until the question is answered or there is no more data that can be gathered.
Be sure to reference your materials from the research methods course to help in your data collection. Additional resources can be located through the APUS library.
A recorded webinar that explains the data collection process can be located through the APUS library.
Notresearchonhumansubject.pdf
EMHSS699 Not Research on Human Subjects Form
If your proposed project involves research with human subjects, do not submit this form. Instead, complete and submit a draft IRB application by the end of week 2. After you have:
1. Reviewed the materials in the IRB folder in RESOURCES, 2. Taken the CITI course, 3. Emailed your CITI course completion certificate to the instructor, and 4. Determined that your capstone research project does NOT involve research on human subjects,
Submit this form. Student’s name: ROBERT OWONO AWONO Title of project: The use of drones in emergency and disaster management
In a paragraph, explain why your project does not involve research on human subjects. Use the terms you learned in the CITI course.
The project does not involve research on human subjects because it focuses solely on
technology and its application in crisis situations. Unmanned aerial vehicles, or drones, are used
for many purposes, including search and rescue operations, assessing damage after a disaster,
monitoring wildfire progression, and bringing emergency supplies to distant regions. Drones
used in emergency and disaster response are classified as non-human subjects of research.
Because this kind of research focuses on the technology itself and examines its capabilities,
limitations, and possible applications to enhance emergency response efforts that ensures human
volunteers are not directly engaged in the study. This research does not include the collecting of
personal data or the experimenting on humans. In terms of ethics, the research project focuses on
the utility and influence of drones in emergency and disaster management rather than their
effects on human beings. It does not address questions of participant harm, privacy, or informed
consent. The project will use case studies, data analysis, and previously published material to
evaluate the benefits and drawbacks of employing drones in emergency situations. To perform
this research ethically, it is vital to respect the privacy and confidentiality of any data collected
by drones, as well as to adhere to local laws and regulations governing their operation. The
research, which employs data analysis and previously published information, is primarily
concerned with the technology itself and how it is used in crisis situations (Daud et al., 2022).
This kind of study is characterized as non-human subjects research since it poses no risks to
participants, informed consent, or privacy.
Your signature: _______________________________________________________ Send a signed and scanned copy of this form to your instructor as an email attachment before the end of week 2.
EMHS699_Overall_instruction.pdf
Randall Hanifen posted on Feb 3, 2024 12:01 AM
Week 1
EMHS699 K001 Winter 2024 RO
Announcements Week 1
During this course, you will accomplish a research project on an emergency &
disaster management / homeland security topic of your choice. You must gather
data, apply research concepts and analytical processes to that data, draw the
appropriate conclusions & recommendations, and produce a report of a minimum
of 50 pages that meets APA publication quality. Your final paper must provide
original knowledge to the field of emergency and disaster management and
homeland security that has not existed before. This contribution can be as large or
small as you wish to design it, as long as the contribution is original.
The first month of the course will focus on the design of your project and putting
all of the required approvals and authorizations in place. Then, you will have
approximately two months to conduct your research. The final month will be a
process of review and improvement of the final project report, at the end of which
you will have produced a product that honors your institution, your education,
your profession, and that you can truly be proud of.
A great deal of information is available in the classroom to help. Within the first
few days of the course, be sure to examine everything under every section. Read
the syllabus thoroughly. Read every assignment guideline. Look through the
resources and these lessons so that you will know where to find things when you
need them. Each area has resources that contribute to your overall research
project.
Be sure as you familiarize yourself with the course that you take the time to look
under every section. You will find graded items under two different buttons:
'Discussions', and 'Assignments'. Read the instructions carefully and be sure to
complete all graded tasks.
There are several graded Discussions. To receive full credit for a discussion, you
must create an original posting, respond to a minimum of two peers, and respond
to everyone who has responded to you. These tasks MUST be accomplished during
the assigned weeks. There is no point in attempting to have a discussion after
everyone has moved on. DO NOT post a document to a discussion. You don't want
to make your input difficult for your reader to get to.
You must make a submission for every item on the Assignments page. Feedback
will be returned on every assignment. It can be found on the Assignments page,
not in the Grades section. After each grade is posted, go back to the assignments
page and read the feedback.
Here is an approximate outline for when you should be accomplishing each activity
in the project development process:
Wk1: Read the Capstone Manual and the appropriate style manual; Take the CITI
course and read the IRB requirements; Introduce yourself in the discussions.
Wk2: Develop and submit your prospectus; submit the CITI completion certificate;
submit the required IRB approval documents; upload your prospectus to the
discussion for peer review.
Wk3: Develop and submit your draft research proposal; review classmates'
projects in the discussion.
Wk4: Revise and submit your final research proposal; include the CITI certificate
and the approved IRB forms. Instructor acceptance will constitute approval to
accomplish your project.
Wk5: Develop your annotated bibliography.
Wk6: Finalize your annotated bibliography and write your literature review.
Wk7: Gather the data you will analyze.
Wk8: Finalize data gathering.
Wk9: Begin the analysis process.
Wk10: Complete the analysis process; provide a progress report in the discussion.
Wk11: Write up your research findings.
Wk12: Write your conclusions & recommendations.
Wk13: Submit your rough draft.
Wk14: Revise your rough draft in accordance with instructor feedback.
Wk15: Submit your final project report; provide your conclusions &
recommendations in the discussion.
Wk16: Fill out and submit the approval and transmittal documents; discuss your
projects in the discussion.
Happy researching!
Dr. Hanifen