Module overview
Details
| School | Module Code | Credit Points | Level |
|---|---|---|---|
| School of Psychology | RESM6010 | 10 | Level 7 |
Staff
| Module Lead |
|---|
| Catherine Brignell |
Requisites
Requisites are modules you must have before or at the same time as this module.
For RESM6010 there are no requisites.
Aims
This module aims to equip you to read, understand, and critically evaluate published reports of statistical analyses of comparisons and group differences in psychological research papers; to be able to conduct statistical analysis of comparisons & group differences in SPSS, interpret, and report the results; and to be able design studies using these methods appropriately in psychological research.
Learning Outcomes
| Reference | Learning Outcome |
|---|---|
| LO1 | Analyse quantitative data in SPSS appropriately using: Simple, Factorial, Repeated measures and Mixed Model ANOVAs, ANCOVA, or their non-parametric alternative |
| LO2 | Interpret statistical interactions |
| LO3 | Understand how repeated measures are incorporated in ANOVA |
| LO4 | Determine the appropriate data analytic technique to use with different research designs |
| LO5 | Critique published reports that employ analysis of variance in psychology |
| LO6 | Design effective research studies using between groups and repeated measures designs |
| LO7 | Use standard software packages for data analysis (e.g. SPSS) |
| LO8 | Identify ANOVA designs from description of experiments |
Syllabus summary
• T-tests, One way ANOVA and non-parametric equivalents • Factorial ANOVA • Repeated measures ANOVA and mixed model ANOVA • ANCOVA • MANOVA
Learning and Teaching Summary
Learning and teaching methods
Each three-hour weekly session is a combination of lecture and hands-on practical application. Formal lecture is kept to a minimum, with an emphasis on developing a workshop atmosphere through the creative use of a variety of practical exercises. The practical exercises include guided small group exercises (e.g. designing experiments to test certain hypotheses, article critiques (e.g., to discuss suitability of data analysis), statistical analysis and interpretation of results based on existing datasets (e.g., various forms of ANOVA). Staff provide verbal formative feedback during these activities to help you gauge and develop your knowledge and understanding. A variety of e-learning resources relevant to the course are available on Blackboard. These include recordings of lectures, copies of in-class assignments and exercises, datasets for analysis, online tutorials, a research methods and statistics glossary, and links to online statistics and research methods textbooks.
Study Time
| Type | Hours |
|---|---|
| Lecture | 18 hrs |
| Preparation for scheduled sessions | 12 hrs |
| Wider reading or practice | 70 hrs |
| Total study time | 100 hrs |
Assessment and Feedback Summary
Assessments
Summative
This is how we’ll formally assess what you have learned in this module.
| Method | Contribution(%) | Outcome | Group Work |
|---|---|---|---|
| Analysis and report | 100 % | LO1, LO2, LO3, LO4, LO5, LO6, LO7, LO8 | No |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
| Method | Contribution(%) | Outcome | Group Work |
|---|---|---|---|
| Analysis and report | 100 % | LO2, LO6, LO5, LO8, LO7, LO3, LO1, LO4 | No |
Repeat Year
Internal & External
Costs
Printing and Photocopying Costs
Students are expected to fund their own printing and photocopying costs, if any.
Cost: No additional costs.
Textbooks
Core texts should generally be available on the reserve list in the library. However due to demand, students may prefer to buy their own copies. These can be purchased from any source. The library will also have at least one copy of textbooks listed as additional background reading , or alternatively you may wish to purchase your own copies.
Cost: No additional costs.
Health & Safety
The module has no identifiable risks beyond those usually encountered in teaching and learning on the university premises
Resources
Optional
Data Analysis: A model comparison approach to ANOVA
Textbook
Authors: Judd, McClelland, and Carey.
Edition: 3rd.
Year of publication: 2017.
Textbook Publisher: Routledge.
Designing experiments and analysing data
Textbook
Authors: Maxwell and Delaney.
Edition: 3rd.
Year of publication: 2018.
Textbook Publisher: Routledge.
Introduction to the new statistics: estimation open science and beyond.
Textbook
Authors: Cumming and Calin-Jageman.
Year of publication: 2017.
Textbook Publisher: Routledge.
Statistical Methods for Psychology, International Edition
Textbook
Authors: Howell.
Edition: 8.
Year of publication: 2012.
Textbook Publisher: Wadsworth.
Mandatory
Discovering Statistics Using IBM SPSS Statistics
Textbook
Authors: Field, A..
Edition: 5th.
Year of publication: 2018.
City of publication: London.
Textbook Publisher: Sage.
City of publication: London.
Publication Manual of the American Psychological Association
Textbook
Authors: American Psychological Association.
Edition: 7th.
Year of publication: 2020.