QUANTITATIVE TERM PAPER
Your term paper will consist of the analysis of publicly available
quantitative data. You can either use the data that comes with the Sweet and GraceMartin (2012) textbook or any other data that is
available for public use, e.g., through the internet. For example, many
publicly available data sets can be found at the ICPSR (InterUniversity
Consortium for Political and Social Research) web page at the University of
Michigan. You can use ICPSR Direct <http://www.icpsr.umich.edu/>
to download data directly from ICPSR, using either an oncampus computer or a Gatorlink dialup connection. You can download data from the
General Social Survey directly at http://www.norc.org/GSS+Website/.
For your research paper, chose either one of the research projects
listed in Sweet and GraceMartin (2012), Chapter 10, or chose your own data set
and research topic, following the suggestions for data analysis on p. 235
(Sweet and GraceMartin, 2012). Design
your research project to test AT LEAST three different hypotheses, using AT
LEAST one dichotomous variable and two ratio or interval level variables. Include
AT LEAST one hypothesis where both your dependent and your independent variable
are measured at the interval level.
The final research paper will consist of a literature review and the
analysis of the quantitative data (see Sweet and GraceMartin, 2012, Chapter
9). It should be 1525 pages long, excluding the title page, references,
figures, and tables. Include AT LEAST eight references pertaining to the
literature review. The paper is due on Tuesday, April 17, at 3 p.m.
I will grade the research paper according to the
following criteria:
Form
 Is the paper
typed and doublespaced?
 Is there a title
page that includes the title, your name, and the course title?
 Is the paper
organized in a logical way (i.e. introduction, literature review, methods,
results, and conclusion)?
 Were headings
and subheadings used?
 Does the paper
have 1inch margins on the left, top, and bottom of the page and a 1.5inch
margin on the right side of the page?
 Is the font size
either 11 or 12?
 Except for the
title page, are all pages numbered?
 Does the paper
contain any grammar and spelling errors?
Content
1.
Abstract

The
abstract should include information about the research question, sample,
results, and conclusions of the study.

It
should be between 100 and 150 words long.
2.
Introduction

Describe
your research topic and question.

Describe
why this research question is important.

Give
an overview of your paper.
3.
Literature review

Include
a brief literature review, reporting previous findings that relate to your
research topic and question. Explain how your paper contributes to past
theoretical or empirical research or goes beyond prior work in that area.
4. Hypotheses

List
at least three different testable hypotheses that are based on your literature
review.
5. Method

Procedure:
Describe exactly how the sample and the measures were collected.

Sample:
Describe the sample (e.g., size, gender, age, and race composition).

Measures:
Describe the variables used in the analyses in detail (i.e., question wording,
range of scale, and description of categories). Describe in detail how scales
or indices were created (i.e., list the number of items in each scale/index and
give the wording of 23 items as examples; describe the range and categories of
the scales of the individual items and report if some of the scales were
reversed before the average or sum of all the items was calculated) and list
Cronbach’s alpha values for the scales.

Analysis:
Describe the analysis procedures.
6.
Results

Univariate
Analyses: Present and interpret means, medians, modes, minimum and maximum
values, skewness, kurtosis, and standard deviations
of all your variables. Describe if the variables are normally distributed or
skewed. Use stem and leaf plots, box plots, histograms, pie charts, and/or bar
charts to illustrate the results (one graph per variable).

Bivariate
Analyses: Describe the results of crosstabulations,
comparison of means, and/or bivariate correlations, depending on the variables’
level of measurement. Include at least one crosstabulation,
one comparison of means, and one bivariate correlation in your analysis.
Determine if differences between groups or correlations between variables are
statistically significant and interpret the meaning of the results. If the
result of the crosstabulation is statistically
significant, interpret the direction and strength of the association. If the
difference between groups is statistically significant, interpret the direction
of the association. If the correlation is statistically significant, interpret
the direction and strength of the association. Use bar charts, box plots, confidence
intervals, and/or scatter plots to illustrate your results (one graph per
association).

Multivariate
Analyses: Describe the results of a bivariate OLS regression analysis first.
Then add one or more independent variables to the model and describe the
results of the multivariate OLS regression analysis and in comparison to the
bivariate OLS regression analysis. Determine if the individual effects are
statistically significant and explain why. Interpret the
strength and direction of the individual effects based on their significance. Interpret
adjusted R^{2}. Report if there are any problems with multicollinearity
in the multivariate regression analysis and why this might be the case. Include
the SPSS output for the bivariate and multivariate regression analysis.
7.
Conclusion

Present
a short summary of your major findings and insights with regard to your
original research question and hypotheses. Where your hypothesis supported or
rejected?

How
do those findings relate to past research? Do they confirm or contradict prior
research?

List
the limitations of your study.

Make
suggestions for further research based on your findings and, if appropriate,
recommendations for social policy and practice.
8.
References

List
all the articles and/or books that are cited in the paper, using APA or ASA
format (a minimum of eight references).
Oral presentations of the research findings will be held on April 17.
Oral presentations should be no longer than 15 minutes (I will keep time!). You
will be assigned a specific time for your oral presentation, according to your
research topic.
If you encounter any problems pertaining to this research project
(choosing a topic, obtaining the data, analyzing the data, writing the research
paper, etc.) come and talk to me.
Readings
Bernard, H. Russell. 2000. Social Research
Methods. Qualitative and Quantitative Approaches.
Thousand Oaks, CA: Sage (pp. 8792).
Johnson, William A., Jr., Richard P. Retting, Gregory M. Scott, and Stephen
M. Garrison. 2002. The
Sociology Student Writer’s Manual. 3^{rd} Ed. Upper Saddle River, NJ:
Prentice Hall.
Lomand, Turner
C. 2007. Social
Science Research. A Cross Section of Journal
Articles for Discussion and Evaluation, 5^{th} Edition. Los
Angeles, CA: Pyrczak (Appendix A).
Maimon, Elaine P., Janice H. Peritz,
and Kathleen Blake Yancey.
2010. A Writer’s Resource. A Handbook for Writing and
Research. 3^{rd} Edition. New York:
McGrawHill.
Pyrczak, Fred and Randall R.
Bruce. 2000. Writing
Empirical Research Reports. A Basic Guide for Students of the
Social and Behavioral Sciences. 3^{rd} Ed. Los Angeles, CA: Pyrczak Publishing.
Sweet, Stephen A. and Karen GraceMartin. 2012. Data Analysis with SPSS. A First Course in Applied Statistics, 4^{th} Edition.
Boston, MA: Allyn and Bacon (Ch. 9 & 10).
Methods
II
folder on the Sdrive: APA6SamplePaper.pdf