Students are assumed to be familiar with descriptive and inferential statistics as well as multiple regression analysis. Basic knowledge of structural equation modeling is helpful but not required. Since the purpose of the course is introductory, most of the listed literature is not required reading, but is recommended as background reading. Required reading is marked with an asterisk. Quantitative applications in the social sciences, 76.
Regression approaches accounting for measurement error.
Causal model in longitudinal research. Latent difference models as alternative to modeling residuals of cross-lagged effects. Studying correlates and predictors of longitudinal change using structural equation modeling. Latent difference models as alternative to modeling residuals of cross-lagged effects. Why and how to work with structured means.