SOC 586
Spring 2020 All Classes
All Classes
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.
Credit is not given for both SOC 586 and PSYC 406. Prerequisite: SOC 485 or equivalent.
Section Status updates every 10 minutes.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
34465
|
Lecture-Discussion
|
TFL
|
3:30PM
-6:50PM
|
W
|
Foreign Languages Building
|
Liao, T
|
|