I am an assistant professor in the department of sociology at Purdue University and core faculty for the cluster in advanced methods for social, behavioral, and health sciences at Purdue (AMAP). I received my PhD in sociology, MS in Statistics, and MA in Sociology from Indiana University. Before that, I received a BA in Sociology and a BS in Psychology from the University of Georgia.
My research covers three distinct but overlapping areas: (1) how gender and sexuality shape workplace interaction and labor market outcomes; (2) methodological and statistical approaches for causal inference, cross-model comparisons, and for modeling categorical dependent variables; and (3) how social roles and relationships shape health behavior and health inequalities. Recent work has appeared in the American Sociological Review, Social Problems, Social Psychology Quarterly, and Social Science & Medicine.
I use multiple quantitative methods in my work, including survey experiments, lab experiments, representative survey data, and longitudinal surveys. My work has been supported by the National Science Foundation, Time-Sharing Experiments for the Social Sciences (TESS), the Kinsey Institute, the American Sociological Association’s social psychology section, and others.
I primarily teach statistics/quantitative methods courses and short workshops on advanced quantitative methods. Topics include categorical data analysis, experimental methods, data visualization, missing data analysis, latent variable modeling, workflow, and survey design.
Feel free to email me at tmize [at] purdue.edu if you would like any more information.