Quantitative Research Methods
SYA 6407
Fall, 2009
Dr. Chuck Peek

Course and instructor information: The lecture portion of this course meets on Thursdays from 3:00pm – 4:55pm (periods 8-9) in Computer Science and Engineering (CSE), room E221. The lab portion of the course meets on Thursdays from 5:10pm – 6:00pm (period 10) in Computer Science and Engineering (CSE), room E211A.  My office is 3229 Turlington Hall. I can be reached at 392-0265 (ext. 253) or by email at cpeek@ufl.edu. My office hours for the semester are Tuesdays and Wednesdays from 9:30am - 11:00am, and by appointment.

Course Description: This course serves as an overview of the principles, interpretation, and application of multivariate regression using linear models. The primary goal of this course is to provide background and experience with a commonly used analytical technique in Sociology and other social sciences. We will also focus on related topics such as estimation, variable coding, regression diagnostics, and modeling nonlinear and nonadditive relationships.

Text:

McClendon, McKee J. 1994. Multiple Regression and Causal Analysis. Prospect Heights, IL: Waveland Press.

 

Announcements, relevant links, and other course materials are located on the course website at:

 

www.clas.ufl.edu/users/peek/sya6407

 

A number of journal articles will be used to illustrate the application of linear regression. These articles will be available online unless indicated otherwise. To access JSTOR and other library resources from outside the UF domain, follow the instructions provided for Off-Campus Access. Please contact me if you have any difficulty accessing these articles. I reserve the prerogative to add, delete, or substitute material from the reading list as necessary to clarify and illustrate concepts central to the course.

 

We will be using SPSS statistical software for data management and model estimation. SPSS is available in most computer labs on campus.

Assignments: Assignments for the course include a research project and a series of homework assignments. The research project will be divided into three parts: a proposal, a poster session presentation, and a research paper. The goal of the project is to provide and opportunity to gain experience using multivariate regression by employing linear models to explore causal relationships in your area of interest. You are expected to incorporate multiple elements covered in the course (e.g., interaction effects) into your project.

Proposal. In the initial phase of the research project, you will develop a research proposal based on a topic or research question in your area of interest. The proposal will identify the basic research question(s), list the specific aims, describe important theories or conceptual frameworks, discuss relevant studies, identify the data source, and describe the measurement of key concepts. An outline is linked to the course webpage. The proposal should be 5-7 pages and will account for 20 percent of the final grade.

Poster Session. During the next phase of the research project, you will present a summary of your research project in a poster session and will have an opportunity to field questions on your project. The format will be similar to poster sessions at professional meetings. The presentation will account for 20 percent of the final grade.

Research Paper. The final phase of the research project will consist of a research paper. In this phase, you will describe the rationale for the investigation and develop a conceptual framework; propose a set of hypotheses; describe the data, measures, and analytical approach; present the findings in textual and tabular format; and discuss the findings and their theoretical and practical implications. This paper will be similar to a manuscript prepared for submission to a peer-reviewed journal and will account for 40 percent of the final grade.

Homework Assignments. Regular (approximately bi-weekly) homework assignments are designed to provide an opportunity for practicing and applying the concepts discussed in class. The number of assignments will depend on the pace of the course. Due dates will be announced in class at the time the homework assignment is assigned. Homework will account for 20 percent of the final grade.


Tentative Schedule of Topics:*

August 27 – Organizational meeting

 

September 3 – Causal Logic and Statistical Models

Readings: Chapter 1

Frankel, M.R. and L.R. Frankel. 1987. Fifty Years of Survey Sampling in the United States. Public Opinion Quarterly, 51(Supplement): S127-38. (link)

 

Alwin, D.F. and R.T. Campbell. 1987. Continuity and change in methods of survey data analysis. Public Opinion Quarterly, 51(Supplement): S139-55. (link)

 

September 10 – Bivariate Regression

Readings: Chapter 2, Chapter 4 (pp. 133 - 157)

 

September 17 – Multivariate Regression

Readings: Chapter 3, Chapter 4 (pp. 157 - 196)

 

September 24 – Multivariate Regression (continued)

Readings: Appendix 3A (pp. 119 - 132)

 

October 1 – Coding Nominal Independent Variables: Dummy Coding

Readings: Chapter 5 (pp. 198 - 214)

 

October 8 – Interpreting Multivariate Regression Models

Readings:

Ellison, C.G. and M.A. Musick. 1993. Southern intolerance: A fundamentalist effect? Social Forces, 72(2): 379-98. (link)

 

Delucchi, M. 2000. Don’t Worry, Be Happy: Instructor Likability, Student Perceptions of Learning, And Teacher Ratings in Upper-Level Sociology Courses. Teaching Sociology, 28(3): 220-231. (link)

 

Attewell, P., S. Belkis, and J. Battle. 2003. Computers and Young Children: Social Benefit or Social Problem? Social Forces, 82(1): 277-296. (link)

RESEARCH PROPOSALS DUE

 

October 15 – Coding Nominal Independent Variables: Effects and Contrast Coding

Readings: Chapter 5 (pp. 215 - 229)

 

October 22 – Missing Data

Readings: TBA

 

October 29 – Nonlinear Relationships

Readings: Chapter 6

 

November 5 – Nonadditive Relationships (a.k.a. Statistical Interaction)

Readings: Chapter 7

 

November 12 – Nonadditive Relationships (continued)

Readings:

Ellison, C.G. (1991). Religious involvement and subjective well-being. Journal of Health and Social Behavior. 32(1): 80-99. (link)

 

Mossakowski, K. 2003. Coping with Perceived Discrimination: Does Ethnic Identity Protect Mental Health? Journal of Health and Social Behavior, 44(3): 318-331. (link)

 

Krause, N. and K.M. Wulff. 2004. Religious Doubt and Health: Exploring the Potential Dark Side of Religion. Sociology of Religion, 65(1): 35-56. (link)

 

November 19 – Regression Diagnostics

Readings: TBA

 

November 26 – No class (Thanksgiving)

 

December 4 – Poster Session (location TBA)


!!! Research Papers due (in my mailbox or sent via email) on Friday, December 18 by 5:00pm !!!

* Course topics and due dates may shift according to the pace of the class.