PY7164 - Advanced Research Design and Analysis for Psychology (2023/24)
|Module specification||Module approved to run in 2023/24|
|Module title||Advanced Research Design and Analysis for Psychology|
|Module level||Masters (07)|
|Credit rating for module||20|
|School||School of Social Sciences and Professions|
|Total study hours||200|
|Running in 2023/24(Please note that module timeslots are subject to change)||
It introduces a range of advanced quantitative and qualitative methods employed in psychological research. The module is designed for inclusion in postgraduate psychology courses which have the Graduate Basis for Chartership (GBC) with the British Psychological Society (BPS) as an entry requirement There are two equally-weighted items of coursework one based on quantitative approaches and methodology and the other based on qualitative approaches and methodology.
The syllabus taught will reflect that specified in the “BPS supplementary guidance for research and research methods on society accredited programmes”. An indicative syllabus is indicated below.
This module has been designed to meet the BPS Supplementary guidance for research and research methods on Society accredited postgraduate programmes. Thus, selection of topics will reflect the need to adhere to this guidance. Within this general frame work there will be equal focus on qualitative and quantitative techniques. Assumptions about the nature of knowledge; contrasting epistemological positions and implications for method and theory building will underpin discussion of all techniques and will serve as a foundation for advanced application.
To include brief revision of some general principles of the analysis of quantitative data. How to present quantitative analysis.
Advanced topics will be drawn from:
Multiple linear regression analysis; logistic regression; Multivariate Analysis of Variance (MANOVA); Factor Analysis; Cluster Analysis; Discriminant Function Analysis; Path Analysis; Multi-level Modelling, Mediation, Moderation
To include discussion of epistemological position and general principles of the analysis of qualitative data. How to write up and present qualitative analysis.
Advanced topics will be drawn from:
Content analysis; Interpretative Phenomenological Analysis (IPA); Discourse Analysis; Grounded Theory; Thematic analysis
Balance of independent study and scheduled teaching activity
The module will be delivered via lectures and workshops. Lectures will be used to deliver general material and material on specific methods of data collection. Workshops will be used to carry out analyses (in a computer laboratory using suitable software where appropriate) and discuss examples from the relevant literature.
Students will be expected to write up the outcome of analyses carried out in workshops to publication standard. They will also be expected to engage in a self-directed manner with key texts and published articles to extend their knowledge and skills.
On successful completion of this module students will be able to:
1. demonstrate a deep and comprehensive understanding of the epistemological, methodological, practical, and ethical issues involved in applying different methods;
2. assess the suitability of quantitative data with regard to statistical assumptions required for different analyses;
3. perform and interpret a range of advanced univariate, bivariate and multivariate statistical analyses;
4. make expert use of computer-based statistical packages, e.g. SPSS, AMOS, LISREL,
5. employ a range of advanced methods for collecting and interpreting qualitative data;
6. report upon the outcome of quantitative and qualitative studies to publication standard for academic journals and for professional reports;
7. extend their knowledge of quantitative and qualitative methods by working independently from authoritative texts covering advanced methods and research publications employing such methods; and
8. design, develop and carry out research within given resources and timetable constraints.
There will be two equally-weighted items of assessment one based on quantitative approaches and methodology and the other based on qualitative approaches and methodology. In order to pass the module students must achieve at least 50% in each component of assessment as well as meet the attendance criterion.
The qualitative assignment will address the following learning outcomes: LO1 LO5 LO6 LO7 LO8
The quantitative assignment will be a multiple choice examination and will address the following learning outcomes LO1 LO2 LO3 LO4 LO6 LO7
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Smith, J., (2015). Qualitative psychology: A practical guide to research methods (3rd ed.). London, Sage Publications Ltd.
American Psychological Association (2019). Publication manual of the American Psychological Association (7th ed.). Washington, DC: APA.
Breakwell, G. M.,& Smith J. A. (eds). (2013). Research methods in psychology. (4th ed) London: Sage
Cohen, J., Cohen, P., West S. G. & Aiken, L. S. (2002) Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. (3rd ed.) Routledge Academic.
Frost, N. (2011).Qualitative research methods in psychology: From core to combined approaches. McGraw-Hill.
Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford Press.
Howell, D. C. (2013). Statistical methods for psychology (8th ed.). Cengage Publishing.
Howell, D. C. (2017). Fundamental statistics for the behavioural sciences (9th ed.). Cengage Publishing.
Kirkpatrick, L. A. (2004). A simple guide to advanced statistics in SPSS. Basingstoke: Wadsworth Publishing Co Inc.
Robson, C. (2002). Real world research: A resource for social scientists and practitioner-researchers. Oxford: Blackwell.
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Tabachnick, B. & Fidell, L. (2013). Using multivariate statistics (6th ed.). Pearson.
Warner, R. M. (2013). Applied statistics: From bivariate through multivariate techniques. London: Sage.
Willig, C. (2008). Introducing qualitative research in psychology. Adventures in theory and method. (2nd ed.). Maidenhead: Open University Press.