MSc Clinical and Health Psychology

During the first half of this unit students will gain an understanding of qualitative methodologies. In these sessions, students will gain practical experience of the most commonly used techniques for analysing qualitative data in psychology (Thematic Analysis and Interpretative Phenomenological Analysis ). The second half focuses on a selection of  advanced statistical techniques, including non-parametric statistics; mediation and moderation analyses, ANCOVA and regression.  

The unit aims to:

• ensure that students have knowledge of the main epistemological approaches to qualitative research
• provide hands-on experience of qualitative data analysis, both guided and independently on two of the main forms of analysis conducted in health psychology
• provide students with the knowledge to independently decide which form of qualitative analysis is needed for a research question and ensure that they can justify their choice, epistemological position and review limitations and strengths of their approach
• ensure that student are able to report qualitative data
• ensure that students have an understanding of selected advanced statistical techniques
• ensure students can conduct a range of statistical tests using appropriate software
• ensure that students can interpret the ‘output’ of advance statistical analysis
• ensure that students understand the limitations of quantitative and qualitative techniques

By the end of the course unit, students will be able to:

• understand the concepts underlying quantitative and qualitative methods
• understand the scope of different data analysis techniques
• critically evaluate the scope of different analysis techniques
• identify which techniques are appropriate to address different types of research question
• gain experience of carrying out qualitative analysis
• correctly interpret output from advanced statistical analysis and be able to report findings appropriately
• gain understanding of qualitative and quantitative approaches which will be applicable to understanding and appraising research

The first part of the course (focusing on qualitative research) will be delivered in 4 x 2.5 hour sessions, two sessions for each qualitative method, with the pattern being that the first session will be a recorded lecture for students to work through at their own pace. followed the next week by a workshop where students apply what they learn. In these sessions junior researchers currently using these technique will also be in attendance to provide guidance.  The second part of the course (advanced statistical techniques) will be delivered in 5  2.5 hour sessions. Although each week is a different method, there will still be time within each session for a taught component and applied practice.    The unit will be taught using a blended approach where a range of materials including recordings, videos, reading materials, etc will be used to convey the central concepts. These will be complemented by live sessions where students can work with the lecturers to enhance their knowledge. A research-team approach will be used in some teaching sessions, enabling students to develop their data handling skills.

Analysis of qualitative data using either IPA or thematic analysis (2,000 words, 50%).

Data analysis assignment in which students will be given a database and asked to conduct appropriate analyses and report their findings (2,000 words excluding tables and figures, 50%) 

Each lecture will have a detailed reading list. In addition to this, students will be encouraged to read the following as preparation to the course.  

• Braun, V & Clarke, V (2022) Thematic analysis: A practical guide. London: Sage.
• Smith, J.A., Flowers, P., Larkin, M. (2022) Interpretative Phenomenological Analysis: Theory, methods and research. London: Sage.
• Field, A. (2009). Discovering statistics usinf SPSS (Fourth ed.) Sage. London.
• Hayes, A. F. (2009). Beyond Baron and Kenny: Statistical Mediation Analysis in the New Millennium. Communication Monographs, 76(4), 408-420.