A three-semester sequence course introducing logical and analytic techniques commonly employed in social science research. The methodological problems encountered in field work, historical and comparative inquiry, experimental research, and survey analysis. The first semester concentrates on techniques for gathering evidence; the second and third semesters focuses on beginning and intermediate numerical techniques for analyzing evidence.

Sociology 271C is the second of two courses on statistical analysis of numerical data designed for sociology Ph.D. students. The course will cover regression, matching, instrumental variables, and related techniques for identifying causal effects, as well some extensions of multiple regression and the general linear model. Principal activities include: 1. Explore the statistical concepts and methods that sociologists most commonly use to gather and analyze quantitative evidence. 2. Use Stata (a popular computer program) to put those skills into practice. 3. Apply the skills to sociological data to gain facility and confidence in the use of these methods. Students who have not taken Sociology 271B should consult the instructor before enrolling.

Repeat Rules

Course is not repeatable for credit.