Sociology 311 |
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| MW: 3:10-4:30,
ETC 205 |
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Course description: This is a rigorous, workshop-based course designed to provide students with the basic skills for planning and conducting research in sociology. The course addresses comparative case study approaches, but focuses mainly on multi-variate analyses of quantitative data. Skills and topics covered include conducting literature reviews in sociology, locating and downloading data sets, descriptive statistics and exploratory data analysis, hypothesis testing and the logic of statistic inference, ANOVA, regression analysis and its extensions. Students will become familiar with STATA, an excellent data analysis program, and with three key sources of data: the General Social Survey, the Census, and the resources of the Inter-University Consortium for Political and Social Research. Note bene: This is a required course in sociology and is designed specifically to prepare junior sociology majors for the qual and senior thesis. Non-majors may take this course provided that they have taken Sociology 211, Introduction to Sociology. Course assignments: There is some reading, but the bulk of the assignments involve locating, downloading and analyzing data. You will complete 13 weekly memo/problem set exercises, and a 10 page (text) final paper based on a multivariate analysis of a data set of your choosing. Weekly memos are assigned on Wednesdays, and unless otherwise noted, are due by 5pm on the following Sunday. Note that I will only accept assignments via hard copy, and not by email. I am not a print shop. Books and materials: The assigned text is available for purchase at the bookstore and on reserve. It is expensive, but will be useful reference for this and other courses. Students have also found Berry and Sanders helpful as a primer on regression analysis. Assigned Text: Alan Agresti and Barbara Finlay, Statistical Methods for the Social Recommended: W. Berry and M. Sanders, Understanding Multivariate Research Other resources: Beyond the materials listed above, students will be able to take advantage of four workshops and web-site resources developed by Dena Hutto, Andrew Rumbach and Marc Schneiberg as a part of the “Development of Research Competencies through Faculty-Library Collaboration” program funded by the Mellon Foundation. Information about web-site resources and their use will be presented in the library AssignmentsGETTING STARTEDWeek 1: (August 28, 30) Framing the course: How do you know? Memo #1: Literature review exercise, due Sunday, September 5th, at 5pm. CASES, VARIABLES AND CASE STUDIESWeek 2: (September 6, plus a Friday discussion TBA) Method of Difference, Finding Qualitative Data
Locating data for, case study and historical analysis (Library workshop)
QUANTITATIVE ANALYSIS OF DATA SETSWeek 3: (September 11, 13) Downloading data sets I: GSS, STATA and Univariate Descriptive Statistics
Week 4: (September 18, 20) Bivariate Descriptive Statistics
Week 5: (September 25, 27) Statistical Inference I: Sampling Distributions
Week 6: (October 2, 4) Statistical Inference II: Sampling Distributions and Confidence Intervals
Week 7: Monday (October 9) Statistical Inference III: Hypothesis Testing, T-test for a Single Mean
Week 7: Wednesday (October 11) Statistical Inference IV: Difference of Means, Chi-square, ANOVA
FALL BREAK, OCTOBER 14-22Week 8: (October 23, 25) Regression I: Simple Regression, Fit Statistics
Week 9: (October 30, November 1) Locating and Downloading Data Sets II: Census and IPUMS, ICPSR
Week 10: (November 6, 8) Locating and Downloading Data Sets: III
Week 11: (November 13, 15) Regression II: Multiple Regression, F-tests, Model Building
Week 12: (November 20) Regression III: Dummy Variables and Interaction Effects
THANKSGIVING BREAKWeek 13: (November 27) Regression IV: Interactions, Non-linearity, Logistic Regression
Week 13-14: (November 29, December 4) Final Paper Workshops **** FINAL PAPER DUE WEDNESDAY, DECEMBER 6 AT 5PM *** |