This camp is an intensive THREE-DAY seminar on structural equation models (SEM) hosted at UCLA's Math Sciences 5628 (Visualization Portal). Instructor: Dr. Todd D. Little,  Professor and Director of Research, Evaluation, Measurement, and Statistics at Texas Tech University Overview: This seminar includes a series of lectures and examples to provide you with the foundations you need in the use of SEM. Topics include confirmatory factor analysis, multiple-group comparisons, factorial invariance as well as extended applications such as parceling. Even if…

This camp is an intensive THREE-DAY seminar on missing data analysis hosted at UCLA's Math Sciences 5907 (meet first at Math Sciences 5628 Visualization Portal). Instructor: Dr. Craig Enders,  Professor of Quantitative Psychology, UCLA Overview:  There have been substantial methodological advances in the area of missing data analyses during the last 25 years. Methodologists currently regard maximum likelihood estimation (ML) and multiple imputation (MI) as two state of the art missing data handling procedures.  These two procedures are advantageous because…