SOC 586

Spring 2007 Part of Term 1

Part of Term 1
Jan 16-May 2

Credit: 4 hours.

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.

Students may not receive credit for both SOC 586 and PSYC 406. Prerequisite: SOC 485 or equivalent.

SOC 586 class schedule data for spring 2007
CRN Type Section Time Day Location Instructor Section Details
34465
Lecture-Discussion
SKH
3:30PM -5:50PM
W
Lincoln Hall
Han, S
Part of Term:
1
Date Range:
01/16/07-05/02/07
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