Specific statistical areas of expertise include factor and cluster
analysis, basic bivariate
analyses, repeated measures
analyses, linear and
hierarchical / mixed models, structural equation modeling, and nonparametric
analyses including
logistic regression techniques.
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).