Advanced Statistical Methods in Psychology

Learning Outcomes

Learning Outcomes

Having successfully completed this module you will be able to:

• - appreciate the statistical underpinnings of various structural equation modelling and hierarchical linear modelling statistical techniques - be able to perform these techniques using appropriate software - be able to interpret output from such analyses

Regression and Mediation

Introduction to AMOS and Path Analysis

Confirmatory Factor Analysis

Structural Equation Models

Multi-Group CFA/SEM

Latent Mean Structures

Bootstrapping, Non-Normality, & Missing Data

Introduction to HLM

The 2-Level Model

The 3-Level Model

Repeated Measures Designs (2-Level)

Multilevel Multivariate Models

Each 2-hour weekly session is a combination of lecture and hands-on practical application. The practical exercises will focus on data analysis, primarily using SPSS and AMOS. In addition to providing students with direct practical experience in the application of relevant statistical techniques, these exercises will help students prepare their answers to the problem sets. Assessment is based on two problem sets completed throughout the semester (50% each). The problem sets are based on practical exercises that correspond to the material being covered at the time.

Summative

This is how we’ll formally assess what you have learned in this module.

Referral

This is how we’ll assess you if you don’t meet the criteria to pass this module.