STATISTICS FOR SOCIOLOGISTS I

C&ESOC/SOC 361

Applied linear regression modeling for social scientists. Bivariate and multiple regression, dummy variables, interactions, nonlinear relationships, indirect effects and omitted variable bias, outliers, heteroskedasticity, and mulitcollinearity; associated diagnostics and corrections. Use of Stata and/or SAS for dataset creation and analysis.

C&ESOC/SOC 365

Understanding the structure of different types of social scientific data, techniques for data evaluation, cleaning, documentation and visual display, merging data from multiple sources, restructuring data for analysis.

C&ESOC/SOC 357

Scientific methods in the study of society; procedures for testing sociological theory: problem definition, hypothesis construction, collection and evaluation of data. Practical experience conducting small research projects.

C&ESOC/SOC 210

Introduction to the field of American sociology, its subfields and specialized areas of research, theoretical traditions and research methods.

C&ESOC/SOC 875

Advanced topics in sociology. Topics vary.