Analysing data (C8891)
Analysing data
Module C8891
Module details for 2025/26.
15 credits
FHEQ Level 4
Full Module Description
This module covers the foundations of research methods and statistical testing to address psychological research questions. Taught sessions cover statistical principles in depth, accompanied by dynamic resources, such as online tutorials. On this module, students will build essential data management and analysis skills using statistical computer software and coding, such as cleaning, inspecting, and visualising data and performing a variety of statistical tests. Assessments focus on performing data analysis using statistical software and interpreting results in order to answer set research questions. This module builds on knowledge gained in the core psychology module C8511: Psychology as a Science.
Module Outline
This module covers the foundations of research methods and statistical testing to address psychological research questions. Taught sessions cover statistical principles in depth, accompanied by dynamic resources, such as online tutorials. On this module, students will build essential data management and analysis skills using statistical computer software and coding, such as cleaning, inspecting, and visualising data and performing a variety of statistical tests. Assessments focus on performing data analysis using statistical software and interpreting results in order to answer set research questions. This module builds on knowledge gained in the core psychology module C8511: Psychology as a Science.
Module learning outcomes
Evaluate scientific approaches to answering psychological questions
Analyse data using statistical models
Interpret the output of statistical models
Communicate scientific research findings and implications
| Type | Timing | Weighting |
|---|---|---|
| Unseen Examination | Semester 2 Assessment | 40.00% |
| Coursework | 60.00% | |
| Coursework components. Weighted as shown below. | ||
| Computer Based Exam | T2 Week 11 | 41.70% |
| Take Away paper | T2 Week 7 (48 hours) | 41.70% |
| Portfolio | T2 Week 11 (5 hours) | 16.60% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
| Term | Method | Duration | Week pattern |
|---|---|---|---|
| Spring Semester | Lecture | 1 hour | 22222222222 |
| Spring Semester | Laboratory | 2 hours | 11111111111 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Dr Jennifer Mankin
Convenor, Assess convenor
/profiles/351056
Dr Martina Sladekova
Convenor
/profiles/415192
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