SOC 586 - Adv Social Statistics I

Description
Examines social science applications of the general linear model and its extensions; topics include: model specification; ordinary and generalized least squares; multicollinearity; selection of predictors; interaction of variables and non-linear regression; panel and time-series data; measurement error; path analysis; recursive and non-recursive structural equation models. Applies statistical computing packages (e.g., SPSS) to social science data. Course Information: Credit is not given for both SOC 586 and PSYC 406. Prerequisite: SOC 485 or equivalent.
Credits
4
Recent Professors
Open Seat Checker
Schedule Planner
Recent Semesters
Spring 2019, Spring 2017
Offered
M, Tu
Avg. Sections
1