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PS907: Advanced Qualitative and Quantitative Analysis (2020/21)

Module Code:


Module Name:

Advances Qualitiative and Quantitative Analysis

Module Credits (CATS):

10 (ESRC-only), 15


Module Convener

Claudie Fox

Module Teachers

Claudie Fox


Module Aims

This module adopts a clinically relevant practical focus to introduce students to both advanced qualitative and quantitative analysis.

Its aim is to provide background for the student to understand and apply a variety of standard and advanced methods of quantitative and qualitative data analysis.


Learning Outcomes

By the end of the module, students should be able to:

  • Demonstrate an understanding of a variety of approaches to qualitative analysis and critically appraise the credibility and dependability of qualitative methods within a research study
  • Analyse and interpret qualitative data using a specified qualitative analysis method
  • Demonstrate an understanding of data interpretation and presentation and justify the conclusions and recommendations arising from the data
  • Perform simple and advanced regression analyses
  • Perform simple and advanced analysis of variance
  • Outline and compare techniques such as multidimensional scaling and factor analysis

Assessed by:

  • Assignment 2

  • Assignment 2

  • Assignment 2

  • Assignment 1
  • Assignment 1
  • Assignment 1


Module Work Load

Module Length

10 weeks


10 lectures of 1 hour each

Practical classes

10 practical classes of 1 hour each


Attendance at lectures and practical classes is compulsory


Module Assessment - 10 CAT version (ESRC-only)

Assessed work:

Assignment - students complete either assignment 1 (3000 word quantitative essay) OR assignment 2 (3000 word qualitiative essay)



Module Assessment - 15 CAT version

Assessed work:

Assignment 1 - 3000 word quantitative essay

Assignment 2 - 3000 word qualitative essay




Module Programme

Topics covered on the course will likely include:

  • Qualitative Data Analysis, including approaches such as:
    • Thematic Analysis
    • Interpretative Phenomenological Analysis
    • Grounded Theory
    • And others
  • Quantitative Data Analysis, including:
    • statistical techniques to compare groups (e.g., t-tests, ANOVA, ANCOVA, MANOVA)
    • statistical techniques to explore relationships among variables (e.g., multiple regression, logistic regression, factor analysis)


Module Reading List

Quantitative References:

  • Field, A., Miles, J., & Field, Z. (2018). Discovering statistics using SPSS (5th ed.). London: Sage.
  • Howell, D. C. (2012). Statistical methods for psychology (8th ed.). Belmont, CA: Wadsworth. (Electronic Resource).

Qualitative References:

A search of the Library catalogue will reveal a lot of relevant texts. You might find the following particularly useful:

  • Braun, & Clarke, (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3, pp. 77-101. (Available through the University of Warwick Library e-resources)
  • McLeod, J. (2011) Qualitative Research in Counselling and Psychotherapy (2nd ed.). London: Sage Publications.
  • Sullivan, C. & Forrester, M. (eds.) (2019). Doing qualitative research in psychology. A practical Guide (2nd ed.). London: Sage.