SOC 536 A: Analysis of Categorical and Count Data

Autumn 2020
Meeting:
MW 2:30pm - 3:50pm / * *
SLN:
21322
Section Type:
Lecture
Joint Sections:
CS&SS 536 B , STAT 536 B , CS&SS 536 A , STAT 536 A , SOC 536 B
Instructor:
Adrian Dobra
OFFERED VIA REMOTE LEARNING
Catalog Description:
Analysis of categorical data in the social sciences. Binary, ordered, and multinomial outcomes, event counts, and contingency tables. Focuses on maximum likelihood estimations and interpretations of results. Prerequisite: either SOC 504, SOC 505, SOC 506/CS&SS 507, STAT 423, or STAT 504/CS&SS 504. Offered: jointly with CS&SS 536/STAT 536.
Credits:
3.0
Status:
Active
Last updated:
October 8, 2024 - 5:41 pm