Allison J. Tracy, Ph.D.
Methodologist and Senior Research Scientist
Allison Tracy has over 15 years’ experiences providing methodological and statistical consultation for researchers in a wide variety of disciplines, research topics, and institutions – academic, applied, and commercial. Her approach to consulting is to translate researchers’ articulated research questions and hypotheses into statistical models and to translate results of these models back into plain English that can be understood by individuals both within and outside academia.
She has technical expertise in a wide range of statistical techniques used in the social sciences, including structural equation modeling, confirmatory factor analysis and MIMIC approaches to measurement, path modeling, regression analysis (e.g., linear, logistic, Poisson), latent class analysis, hierarchical linear models (including growth curve modeling), latent transition analysis, mixture modeling, item response theory, as well as more commonly used techniques drawing from classical test theory (e.g., reliability analysis through Cronbach’s alpha, exploratory factor analysis, uni- and multivariate regression, correlation, ANOVA, etc). She also has expertise in missing data analysis and power analysis. She has a strong background in program evaluation and measurement development. She is currently expanding her expertise to include Rasch modeling and Generalizability Theory approaches to measurement.
Her role at the Wellesley Centers for Women is to provide statistical and methodological advice and support to WCW researchers, assist in the development of grant proposals, conduct statistical analyses, and pursue her own substantive and methodological interests.