ASTAT 420 - Categorical Data Analysis

Institution:

Washington University in St Louis

Subject:

Description:

This course represents an introduction to methods for analyzing categorical data. Methods covered include those for contingency-table data (i.e., all variables are nominal or ordinal), as well as regression models for nominal and ordinal outcome variables. Although distribution theory and maximum likelihood are introduced as needed, the emphasis is on learning when and how to apply the methods, and how to interpret the results. Computations are done either by hand or with the SAS computer program. Previous experience with SAS is useful, but not assumed. Prerequisite: ASTAT 350, 364, 3067, or 413, or Psych 5066 or equivalent.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.wustl.edu

Phone Number:

(314) 935-5000

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Semester

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