Step-by-by instructions collecting and analyzing quantitative and qualitative data for graduate and dissertation students. Provide information and use sample writings to draft your paper.
3. The Data is Crucial
Connecting the research findings to the
“problem” in this process is critical
because there needs to be a linkage
between each part of your thesis and or
dissertation.
The data that you collect MUST answer
your research questions (RQ’s) which is
tied to your research problem.
5. q Survey Monkey is a great tool to
support students with designing,
administering, and collecting surveys;
however, all surveys do not require
survey monkey.
q Students can manually design,
conduct, and analyze their own
surveys with no more than 20-30
participants.
6. 1. The Researcher numbers each questionnaire to be counted and
coded for each participant’s response.
2. The data analysis will involve a process of counting the
responses of each participant to be analyzed for the results.
3. For example, Participant 1 (P1), Participant 2 (P2), Participant
3 (P3) and so forth and then determine how many participants
responded to each question.
4. Next Coding: How many participants responded to (5) strongly
agreed (4) agreed, (3) strongly disagreed, (2) disagreed, (1)
neutral, or (0) not applicable.
5. Once the surveys are counted and coded the researcher will
tally the responses for each question from each participant.
6. Once the tallies are complete the researcher will analysis the
data from the results of the numbers. What story does the
numbers provide? What are the responses saying?
7. Write-up SAMPLE 1 (Questionnaire)
The data analysis involved a process of counting the responses of each
Participant to analyze the results. The researcher labeled each survey as
follows: Participant 1 (P1), Participant 2 (P2), Participant 3 (P3) and so
forth and then the researcher determines how many participants
responded to each question. Once the surveys are counted and coded
the Researcher tallies the responses for each question from each
Participant. Once the tallies were completed the researcher begin to
determine what are the numbers saying? What is the narrative?
8. 1. First the Researcher reads 25 articles carefully.
2. Second, divided the articles into five categories
and list them by the recurring themes that were
identified in the literature review.
3. Highlight and code key similar information
taken from the studies.
4. Enter the highlighted (coded) information into
an excel spreadsheet to analysis.
9. 1. The student will identify 30-40 articles (studies) and review them all.
2. The student must identify key themes. The student should be able to identify
minimum three and maximum five themes that may have been identified in
chapter two.
3. The student should now sit down with different color highlighters and read
through the material.
4. Spread the articles out in the floor to look for information you need. This can be
fun like playing connect the dots.
5. Identify which material (the studies) matches up with the themes you identified
in chapter 2.
6. Highlight these studies and number (code) them. Highlight key information that
was taken from the studies that will provide information to answer your RQ’s
10. Write-up SAMPLE 2
(Secondary Analysis)
The researcher collected, reviewed, the articles by
managing, reading, describing, classifying, and coding
information (data) from the studies. The researcher
gathered and analyzed the data and placed the data into
categories, in order to classify into themes and or match
themes to chapter two. The classifying process involved
highlighting the data and looking for categories and
themes, interpreting metaphors, focusing on the elements
that is the most interesting that relates to the research
questions.
11. 1. Record the information during the interview and or focus
group.
2. Transcribe recording verbatim.
3. Highlight the themes that relate to your pre-conceived
themes from chapter two.
4. You want to focus on the information that answers and
responds to your RQ’s. This is a key point to identify,
which data collected from your interviews, focus group,
or case study answers your RQ’s. This is a key step
because it links your research study together.
12. Write up SAMPLE 3 (Interviews)
There were a total of five participants in the interviews/focus
groups and they participated in answering 13 questions to establish
if there was any relationship between socio-economic status, and
obesity. The participants were selected from a random pool of
parents that participated in the daycare facility where their kids
attended. The researcher posted flyers around the daycare center to
recruit participants regardless of gender. The only requirements for
selection was that the parents must be living in the New York City
area, they must be 19 years or older, and that their child was
enrolled in the daycare program.