SOC574C

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SOC574C - Categorical Data Analysis

Statistics, GIDP Graduate UA - UA General

Course Description

Analysis of contingency tables. Generalized Linear Models including logistic regression and log-linear models. Matched-pair models. Repeated categorical responses. Students will be expected to utilize standard statistical software packages for computational purposes.

Min Units

3

Max Units

3

Repeatable for Credit

No

Grading Basis

GRD - Regular Grades A, B, C, D, E

Career

Graduate

Course Attributes

CE - CL (Cross Listed), GIDP - STATD (Statistics and Data Science)

Cross Listed Courses

May be convened with

Name

Lecture

Workload Hours

3

Optional Component

No

Typically Offered Main Campus

Spring