HDFS617A

015515

This course covers basic and intermediate topics of confirmatory factor analysis (CFA) and structural equation modeling (SEM). Within these topics, we will consider both traditional approaches and state of the art innovations. The focus will be applied, so that students will (a) acquire an understanding of how SEM (and related latent variable models) can be used in human development and family research (and related research areas); (b) gain an appreciation of the conceptual and, to a lesser extent, the mathematical, basis of SEM; (c) develop the ability to formulate and evaluate models; and (d) become proficient in using the lavaan package in R for the analysis of statistical models.

GRD - Regular Grades A, B, C, D, E

Graduate

GIDP - STATD (Statistics and Data Science)

HDFS 537A, HDFS 537B.