Module Code:

PS907

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

Lectures

10 lectures of 1 hour each

Practical classes

10 practical classes of 1 hour each

Attendance

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)

Weighting:

100%

Module Assessment - 15 CAT version

Assessed work:

Assignment 1 - 3000 word quantitative essay

Assignment 2 - 3000 word qualitative essay

Weighting:

50%

50%

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.