Module overview
Aims and Objectives
Learning Outcomes
Learning Outcomes
Having successfully completed this module you will be able to:
- Understand how repeated measures are incorporated in ANOVA
- Analyse quantitative data in SPSS appropriately using: Simple, Factorial, Repeated measures and Mixed Model ANOVAs, ANCOVA, or their non-parametric alternative
- Use standard software packages for data analysis (e.g. SPSS)
- Critique published reports that employ analysis of variance in psychology
- Interpret statistical interactions
- Identify ANOVA designs from description of experiments
- Determine the appropriate data analytic technique to use with different research designs
- Design effective research studies using between groups and repeated measures designs
Syllabus
Learning and Teaching
Teaching and learning methods
| Type | Hours |
|---|---|
| Wider reading or practice | 70 |
| Preparation for scheduled sessions | 12 |
| Lecture | 18 |
| Total study time | 100 |
Resources & Reading list
Textbooks
Maxwell and Delaney (2018). Designing experiments and analysing data. Routledge.
American Psychological Association (2020). Publication Manual of the American Psychological Association.
Cumming and Calin-Jageman (2017). Introduction to the new statistics: estimation open science and beyond.. Routledge.
Field, A. (2018). Discovering Statistics Using IBM SPSS Statistics. London: Sage.
Judd, McClelland, and Carey (2017). Data Analysis: A model comparison approach to ANOVA. Routledge.
Howell (2012). Statistical Methods for Psychology, International Edition. Wadsworth.
Assessment
Summative
This is how we’ll formally assess what you have learned in this module.
| Method | Percentage contribution |
|---|---|
| Analysis and report | 100% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
| Method | Percentage contribution |
|---|---|
| Analysis and report | 100% |
Repeat Information
Repeat type: Internal & External