Multivariate Statistics & Methodology using R
2023/24

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.

Week Slides Workbook
Course Intro Install or update R/Rstudio
Sem 2 Week 1 Introduction to Multilevel Modelling

 1A: Clustered Data
1B: Linear Mixed Models/Multilevel Models
Week 1 Exercises: Intro to MLM
Sem 2 Week 2 Logistic MLM
Longitudinal Data Analysis using MLM
 2A: Inference for MLM
2B: Logistic MLM | Longitudinal MLM
Week 2 Exercises: Longitudinal | Logistic
Sem 2 Week 3 Longitudinal Data Analysis using Multilevel Modeling - Nonlinear Change
 3A: Polynomial Growth
Week 3 Exercises: Non-linear change
Sem 2 Week 4 Other Random Effects
 4A: Random Effect Structures
Week 4 Exercises: Nested | Crossed
Sem 2 Week 5 Individual Differences

 5A: Assumptions & Diagnostics
5B: Writing up
Week 5 Exercises
Flexible Learning Week
Sem 2 Week 7 PCA and EFA (slide handouts on Learn)

 7A: PCA (pdf on Learn)
7B: EFA (pdf on Learn)
Week 7 Exercises: PCA and EFA
Sem 2 Week 8 CFA (slide handout on Learn)

 8A: CFA (pdf on Learn)
Extra: Data Wrangling for Surveys & Questionnaires
Week 8 Exercises: CFA
Sem 2 Week 9 Path Analysis & Mediation (slide handout on Learn)
 9A: Path Models (pdf on Learn)
Week 9 Exercises: Path Analysis & Mediation
Sem 2 Week 10 SEM I (slide handout on Learn)
 10A: Full SEM (pdf on Learn)
Week 10 Exercises: Structural Equation Models
Sem 2 Week 11 SEM I (slide handout on Learn)
 11A: Practical Issues in SEM (pdf on Learn)
Week 11 Exercises: More SEM

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