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

 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.