SOC 586
Spring 2022 All Classes
All Classes
Credit: 4 hours.
After a brief review of the linear regression model, the course examines social science applications of generalized linear models including binary logit/probit, ordinal logit/probit, multinomial logit, and Poisson/negative binomial regression models. It further examines panel data analysis applying many of these models. The statistical package Stata is the primary software used in lab sessions.
4 graduate hours. No professional credit. Credit is not given for both SOC 586 and PSYC 506. Prerequisite: SOC 485 or equivalent.
Section Status updates every 10 minutes.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
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34465
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Lecture-Discussion
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TFL
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9:00AM
-12:30PM
|
T
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G7 Foreign Languages Building
|
Liao, T
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