- Department: Education
- Credit value: 20 credits
- Credit level: H
- Academic year of delivery: 2023-24
- See module specification for other years: 2024-25
This module will develop students' understanding of quantitative research methods and analysis, building on learning from level 4 and 5. Students will be introduced to the design of and analysis of data from quantitative research projects utilising advanced methods. The module will also prepare students to read more complex reports of educational and psychological research with critical analysis, understanding and insight, so they are able to assess the strengths and weaknesses of such research.
Occurrence | Teaching period |
---|---|
A | Semester 1 2023-24 |
This module will develop students' understanding of quantitative research methods and analysis, building on learning from level 4 and 5. Students will be introduced to the design of and analysis of data from quantitative research projects utilising advanced methods. The module will also prepare students to read more complex reports of educational and psychological research with critical analysis, understanding and insight, so they are able to assess the strengths and weaknesses of such research.
By the end of this module students will be able to:
Describe the characteristics of scientifically rigorous and ethical research
Evaluate the design of commonly-used research instruments in psychology in education, including questionnaires, and experiments
Discuss a range of research designs, strategies and quantitative techniques (e.g., univariate and introductory multivariate statistics)
Use a range of analysis techniques to work with different types of data through and computer-based practical lab sessions.
Academic and graduate skills
Students will have learned how to:
Manage a range of data and critically evaluate the reliability and validity of these in informing and supporting academic argumentation.
Understand how to prepare data for analysis.
Analyse datasets using appropriate statistical tests.
Report the results of quantitative data analysis in an appropriate format.
Use the Virtual Learning Environment (VLE) website, appropriate statistical software, and the Internet effectively.
The following is indicative of the different topics that will be covered:
Open Science
Factor Analysis (e.g., EFA and CFA).
Logistic Regression
ANCOVA
Introduction to Meta-Analysis
Introduction to Structural Equation Modelling and Multi-Level Modelling
Task | % of module mark |
---|---|
Essay/coursework | 100 |
None
Task | % of module mark |
---|---|
Essay/coursework | 100 |
Individual written feedback reports, with follow-up tutor meeting, if necessary. The feedback is returned to students in line with university policy. Please check the Guide to Assessment, Standards, Marking and Feedback for more information.
Coolican, H. (2017). Research methods and statistics in psychology. Psychology Press.
Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th Ed.). Sage.
Harrison, V., Kemp, R., Brace, N., & Snelgar, R. (2020). SPSS for Psychologists. Bloomsbury Publishing.
Pallant, J. (2020). SPSS survival manual: A step by step guide to data analysis using IBM SPSS. Routledge.