Course description

Data Analysis for Psychology in R 3 (DAPR3) is a course undertaken by 3rd year students in Psychology. It introduces statistical tools that are invaluable for analysing many types of psychological study, and prepares students for their dissertations.
Following closely from DAPR2, the first block extends the linear model to analyses of 'hierarchical data', in which observations are clustered in higher-level groups (e.g. trials within participants, or students within schools). DAPR3 provides students with a strong foundation in multilevel modelling, in which it is possible to capture variation in the outcome that is associated with characteristics at these different levels.
The second block of DAPR3 introduces TODO

Course materials 2021/22

Week	Lecture	Workbook
1	Linear Models and Clustered Data	Regression Refresh | Clustered Data
2	Introducing Multilevel Models	LM to MLM
3	Assumptions & Diagnostics for Multilevel Models	Assumptions & Diagnostics
4	Centering Predictors, and Generalized Multilevel Models	Centering | Logistic
5	Multilevel Models: Research Questions; Writing up	Recap
6	Break Week!	–
7	Introducing Path Analysis	Path Analysis
8	Path Mediation	Path Mediation
9	Principal Component Analysis (PCA)	Dimension Reduction
10	Exploratory Factor Analysis I	EFA: Part 1
11	Exploratory Factor Analysis II	EFA: Part 2

Extra Documents

Example Analysis: Rpt & Mixed ANOVA
Example Analysis: MLM Repeated Measures
Example Analysis: MLM Intervention
Example Analysis: MLM Many Trials
Example Analysis: EFA
Explainer: PCA & Unequal Variances

Archives

DAPR3 was a new course for the academic year 2021/22. There are no archives.