Module overview
Aims and Objectives
Learning Outcomes
Learning Outcomes
Having successfully completed this module you will be able to:
- Determine the appropriate data analytic technique to use with different research designs
- Design effective research studies using between groups and repeated measures designs
- Analyse quantitative data in SPSS appropriately using: Simple, Factorial, Repeated measures and Mixed Model ANOVAs, ANCOVA, or their non-parametric alternative
- Interpret statistical interactions
- Use standard software packages for data analysis (e.g. SPSS)
- Critique published reports that employ analysis of variance in psychology
- Understand how repeated measures are incorporated in ANOVA
- Identify ANOVA designs from description of experiments
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
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.
Howell (2012). Statistical Methods for Psychology, International Edition. Wadsworth.
Maxwell and Delaney (2018). Designing experiments and analysing data. Routledge.
American Psychological Association (2020). Publication Manual of the American Psychological Association.
Judd, McClelland, and Carey (2017). Data Analysis: A model comparison approach to ANOVA. 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