Course description

Multivariate Statistics and Methodology using R (MSMR) is a semester long course providing an advanced level overview of statistical analysis techniques and methodology issues relevant to psychological research. The course builds on the concepts and skills developed in Univariate Statistics and Methodology using R.

Course Materials 2020/21

Week	Lecture	Workbook
1	Intro to Multilevel Modeling	Intro to MLM
1	Logistic Multilevel Modeling Longitudinal Data Analysis using Multilevel Modeling	Logistic | Longitudinal (linear)
1	Longitudinal Data Analysis using Multilevel Modeling - Nonlinear Change	Longitudinal (non-linear)
1	Three-Level Nesting Crossed Random Effects	Other Random Effect Structures
1	Individual Differences I Individual Differences II	Recap | Individual Differences
1	Break Week –	Revision Data
1	Principal Component Analysis (PCA) Exploratory Factor Analysis (EFA)	PCA | EFA
1	Confirmatory Factor Analysis (CFA)	CFA
1	Path Analysis	Path Analysis
1	Structural Equation Modeling (SEM) I	SEM I
1	Structural Equation Modeling (SEM) II	SEM II