Module overview
Aims and Objectives
Learning Outcomes
Learning Outcomes
Having successfully completed this module you will be able to:
- Use standard software packages for data analysis (e.g. SPSS)
- Analyse quantitative data in SPSS appropriately using: Simple, Factorial, Repeated measures and Mixed Model ANOVAs, ANCOVA, or their non-parametric alternative
- Design effective research studies using between groups and repeated measures designs
- Understand how repeated measures are incorporated in ANOVA
- 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
Syllabus
Learning and Teaching
Teaching and learning methods
| Type | Hours |
|---|---|
| Preparation for scheduled sessions | 12 |
| Lecture | 18 |
| Wider reading or practice | 70 |
| Total study time | 100 |
Resources & Reading list
Textbooks
Judd, McClelland, and Carey (2017). Data Analysis: A model comparison approach to ANOVA. Routledge.
Field, A. (2018). Discovering Statistics Using IBM SPSS Statistics. London: Sage.
Cumming and Calin-Jageman (2017). Introduction to the new statistics: estimation open science and beyond.. Routledge.
American Psychological Association (2020). Publication Manual of the American Psychological Association.
Howell (2012). Statistical Methods for Psychology, International Edition. Wadsworth.
Maxwell and Delaney (2018). Designing experiments and analysing data. Routledge.
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