Structural Equation Modeling of Repeated Measures Data: Latent Curve Analysis
University of North Carolina
The statistical analysis of repeated measures data over time can be a remarkably challenging task that, if successful, has the potential for allowing significant insight into many important theoretical questions of interest. Over the years, a wide variety of longitudinal statistical models have been proposed to address this challenge, including repeated measures t-tests, analysis of variance (ANOVA), analysis of covariance (ANCOVA), multivariate analysis of variance (MANOVA), multiple regression, and path analysis. Advances in structural equation modeling (SEM) over the past 25 years have provided ...