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Davis-Kean et al. link children's self-perceptions to their math and reading achievement

Yang and Mahajan examine how hurricanes impact migration to the US

Patrick and colleagues analyze high-intensity drinking among adolescents

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Pamela Smock elected to PAA Committee on Publications

Viewing the eclipse from ISR-Thompson

Paula Fomby to succeed Jennifer Barber as Associate Director of PSC

PSC community celebrates Violet Elder's retirement from PSC

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Next Brown Bag

Mon, Sept 11, 2017, noon:
Welcoming of Postdoctoral Fellows: Angela Bruns, Karra Greenberg, Sarah Seelye and Emily Treleaven

Categorical Data Analysis

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Sociology 619

6 credit hours, offered biennially

This course teaches statistical methods for analyzing categorical data. Three classes of statistical models are covered: loglinear models for count data, logit/probit models for discrete dependent variables, and hazards models for studying transitions with longitudinal data.

This page is for general use only. Please see the appropriate departmental course catalog for current registration requirements information.