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Last modified: 18 May 2026 14:16
The course will provide an in-depth overview of key statistical methods required for psychological research, including discussions of hypothesis testing, statistical inference, and appropriate reporting for each test. In addition, it will provide training on the statistical software R, including data processing, coding for analyses, and data visualisation.
| 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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How will this course be taught?
This in-person course will be delivered by lectures and workshops on the Old Aberdeen campus. Assignments will cover analysis methods reviewed in class.
What does this course cover?
You will be provided with in-depth background on key statistical tests used in different areas of psychological research and will apply these tests to novel datasets using appropriate software.
Why should I take this course?
This course aims to develop competence in quantitative data analysis required for PGT research.
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 |
|---|---|---|
| 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 |
| Procedural | Analyse | Analyse data using basic syntax in R |
| Procedural | Create | Communicate analysis of results in writing |
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