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Trenton Mize

Trenton D. Mize, Ph.D., is Associate Professor of Sociology and core faculty of Advanced Methodologies of the Behavioral, Health, and Social Sciences at Purdue University.

Mize’s research and teaching focus on categorical data analysis, latent variable modeling, experimental design, and data visualization.

Mize received a Ph.D. in Sociology and a M.S. in Applied Statistics from Indiana University. His research broadly focuses on (1) applications of social psychological theories of status, identity, and stereotyping to the intersections of gender and sexuality; and (2) methodological research on categorical data analysis, latent variable modeling, and experimental design. His research has appeared in top social science journals including the American Sociological ReviewSociological MethodologySocial ProblemsSocial Science & Medicine, and Social Science Research.

Mize teaches a variety of courses and seminars on applied statistics and quantitative methodology. Specific topics include categorical data analysis, latent variable modeling, experimental design, data visualization, data management and workflow, missing data, statistical software programming, and survey design.

You can visit his university webpage here.

You can visit his personal webpage here.

Google Scholar Citation Page

Trenton's Seminars
Livestream

Categorical Data Analysis

Categorical Data Analysis is a seminar in applied statistics that primarily deals with regression models in which the dependent variable is binary, nominal, ordinal, or count.

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Livestream

Data Visualization Using Stata*

Understanding data and effectively presenting model results are challenges that data analysts face almost every day. There is seldom a more effective solution than a well thought out visualization. Problems in the data are easily identified; complex effects are quickly...

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