In the Longitudinal & Behavioral Data Sciences Lab at Arizona State University we develop and evaluate theoretically driven and exploratory methods and models used to examine within-person change and between-person differences in change. We have published papers on measurement invariance, latent growth models, linear and nonlinear mixed-effects models, growth mixture models, latent class models, linear dynamic models, integrative data analysis, structural equation models, decision trees, missing data, and exploratory approaches to studying individual change.