Carleton University · PSYC 5417

Categorical Data Analysis

Credits : 0.5 creditReference year : 2026-27

Description

This course will provide students with an in-depth understanding of several statistical techniques that can be used to analyze categorical data. Topics include contingency tables, log-linear analysis, logistic regression analysis with categorical predictors, continuous predictors, and interaction terms, and receiver operator characteristic (ROC) analysis.

Prerequisites

  • Prerequisite(s): PSYC 5410 or permission of the department.

Conditions and arrangements

  • Prerequisite(s): PSYC 5410 or permission of the department.
Reference text in its original language

This course will provide students with an in-depth understanding of several statistical techniques that can be used to analyze categorical data. Topics include contingency tables, log-linear analysis, logistic regression analysis with categorical predictors, continuous predictors, and interaction terms, and receiver operator characteristic (ROC) analysis.

  • Prerequisite(s): PSYC 5410 or permission of the department.

Sources and references

Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.

Source reference : https://calendar.carleton.ca/grad/courses/PSYC/

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