Last modified: 30 Jul 2026 17:16
A thorough understanding of common statistical techniques and the ability to apply them is essential to conduct research in Psychology. This course provides lectures on the most important statistical techniques in Psychology accompanied by workshops in which students learn to use and conduct analyses in R.
| Study Type | Postgraduate | Level | 5 |
|---|---|---|---|
| Term | First Term | Credit Points | 30 credits (15 ECTS credits) |
| Campus | Aberdeen | Sustained Study | No |
| Co-ordinators |
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The course consists of lectures on common statistical techniques, including ANOVAs, correlations, regressions, Bayes factor, factor analysis, PCA, effect sizes and power analyses. R-based workshops involve data wrangling, plotting, and analysis.
Information on contact teaching time is available from the course guide.
| Assessment Type | Summative | Weighting | 60 | |
|---|---|---|---|---|
| Assessment Weeks | 12,16,19 | Feedback Weeks | 15,19,22 | |
| Feedback |
The assessment will involve completion of three worksheets. Each worksheet will require working with a new dataset and will include multiple questions requiring substantial conceptual knowledge of statistical tests and the application of this knowledge. Each worksheet is weighted at 20% each. Students will be provided with an assessment brief and will submit their work via Turnitin. A marking rubric and Turnitin quickmarks will be used to provide feedback.
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| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Conceptual | Understand | Understand the logic of underlying statistical tests and when these tests are appropriate |
| Procedural | Analyse | Analyse data using basic syntax in R |
| Procedural | Apply | Apply appropriate statistical procedures to relevant data in R |
| Procedural | Create | Communicate analysis of results in writing |
| Assessment Type | Summative | Weighting | 40 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback |
MCQ exam. Students will complete the exam in one sitting. Students will receive exam score with exam results. Practice MCQ questions will be provided for each topic. |
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| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Conceptual | Understand | Understand the logic of underlying statistical tests and when these tests are appropriate |
| Procedural | Apply | Apply appropriate statistical procedures to relevant data in R |
There are no assessments for this course.
| Assessment Type | Summative | Weighting | 100 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
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| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Procedural | Apply | Apply appropriate statistical procedures to relevant data in R |
| Procedural | Create | Communicate analysis of results in writing |
| Conceptual | Understand | Understand the logic of underlying statistical tests and when these tests are appropriate |
| Procedural | Analyse | Analyse data using basic syntax in R |
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