individual student will chose a topic(s) of interest and do a brief synthesis of the major quantitative research related to the topic(s). A research question or series of questions will be developed which can be answered with quantitative, non-experimental, survey data from a convenience sampling of individuals (e.g., students, teachers, parents, or administrators). The student(s) will develop a numerical survey which attempts to answer the research question(s). The survey will then be administered, the data entered into a SPSS dataset, and the results analyzed using SPSS, and reported. All of these components will be incorporated in a paper approximately 20-25 pages in length.
Semester Mini Study Project Guide for EDAD 8053
Overview: The class, small group, or individual student will chose a topic(s) of interest and do a
brief synthesis of the major quantitative research related to the topic(s). A research question or
series of questions will be developed which can be answered with quantitative, nonexperimental, survey data from a convenience sampling of individuals (e.g., students, teachers,
parents, or administrators). The student(s) will develop a numerical survey which attempts to
answer the research question(s). The survey will then be administered, the data entered into a
SPSS dataset, and the results analyzed using SPSS, and reported. All of these components will be
incorporated in a paper approximately 20-25 pages in length. The professor will provide detailed
feedback on the first draft of the paper, and return it to the students to be revised before a final
grade is calculated using the attached scoring rubric. In consultation with the professor, students
may choose to extend the feedback, revision, and resubmission process one additional round by
taking an incomplete in the course and submitting the paper again by an agreed upon date.
The study will have the following components in the order below:
• Title page—one page
• Abstract—one page (120 to 150 words)
• Introduction (approximately one paragraph)
• Review of Literature (two to five pages) which includes references to at least 10 sources
(seven of which are quantitative or mixed methods studies from peer-reviewed
journals…some sources may be cited in the conclusion section)
• Research question(s) that can be answered by surveying friends, colleagues,
acquaintances, students, teachers, administrators and/or family members (e.g, “What are
teachers’ attitudes toward the student debt?”)
• Methodology section (approximately three pages) to include:
• Description of research context (e.g., school, district and/or state)—approximately
one paragraph. Keep the setting anonymous if possible.
• Description of the survey tool
• How, when, and to whom it was administered
• Response rate, if known
• Results Section (one – three pages)
• Creation of an Index or multiple indices
o Create a new variable(s) called “___ index” from a subset of items that
measure the same thing (or “construct”). For example, you might include all
survey items that measure school climate and call it “School Climate Index.”
This index will be used in these analyses: descriptive statistics, t-tests,
correlation matrix, and ANOVA with post hoc comparisons.
Describe how the index was formed.
o Generate a Cronbach’s alpha for variables that make up your index, or a
subset of questions, that measure the same construct (different questions that
together are thought to measure the same principle). Remove items to
strengthen your index if necessary and theoretically sound.
Write-up your findings
o Descriptive Statistics:
Using SPSS, generate the following descriptive statistics for each
variable and put them in one table (labeled Table 1): mean, median,
mode, min, max, standard deviation, skewness, and kurtosis values.
Describe and analyze the results of each of these tests and write them
o Bi-variate or Correlational Statistics:
Generate a correlation matrix table with correlations (r’s with
significance levels noted with asterisks) of all survey items for which a
correlation coefficient is appropriate.
• Write-up your findings.
Conduct a cross tabulation and use a chi-square tests of association
for determining if a relationship exists between categorical variables
(e.g., gender and job title), and report chi-square, phi, and p values in a
Write-up your findings
o Means Comparisons:
Independent Samples t-test:
Using SPSS generate independent samples t-test comparisons on
one or more dichotomous variable(s) such as male/female,
teacher/administrator…) on a dependent variable (such as your
Conduct an ANOVA with post hoc Least Significant Difference (LSD)
tests to compare the mean differences between categorical variable(s)
with more than 2 groups and numerical variables (e.g., your
categorical variable and your new index). Also, conduct a post hoc
LSD test to determine which means differ significantly from each other
(e.g., Are means scores from school principals different from those of
Write up textual descriptions of the important statistical results,
including those presented in the tables (see examples in the
“Quick and Dirty Guide to Writing up Statistical Results” on
BlackBoard) Note: just do your best!
• Conclusions (about one or two paragraphs)
o Draw major conclusions based on the results from the survey (and nothing else).
Recommendations for further research can be made. You can compare your
overall findings with other research in field. You can state study limitations (e.g.,
too small of a sample size).
• References (one – three pages)
o Be sure to include all in-text citations in a reference section formatted according
to APA format. The reference section begins on a new page.
• Appendix (one – 3 pages)
This should include a copy of your survey.
REMEMBER: The entire project should be between 15 – 25 pages [including title
page, abstract, tables (each on separate page after references), graphs, references
and copy of survey].
A Note About Tables (follows References) All tables, which are on their own separate page,
will be formatted according to APA guidelines. The study will include (at a minimum)
separate tables for each of the following: descriptive statistics, a correlation matrix of all
items. In most situations t-test comparisons, and ANOVAs with post hoc comparisons (if
applicable) are better reported in text rather than tables. Note: you can use between 8 and 14
pt. font for tables, if needed.