Data Analysis

e-learning distance module

Spring term (weeks 1-10, January-March)

Credits: 30

Mode of assessment: two pieces of written work (Qualitative data analysis, 2500 words; Quantitative data analysis, 2500 words)

This module is an introduction to the theory and practice of qualitative and quantitative data analysis. The module consists of two distinct parts: qualitative data analysis and quantitative data analysis. Within each part, there will be an option to take an introductory or an advanced unit.

The introductory quantitative unit covers data management and descriptive analyses and introduces students to inferential testing in general and statistical tests for comparisons between groups specifically. The advanced quantitative unit covers linear regression as well as regression methods for categorical dependent variables and longitudinal data before exploring quasi-experimental methods for policy evaluation and finally providing an opportunity to discuss more specific regression methods such count data models or duration analysis.

The introductory qualitative unit focusses on the technique of thematic analysis, a highly flexible approach and useful foundation for researchers new to qualitative data analysis. The unit takes students through the stage of a qualitative data analysis: sorting and organising qualitative data, interrogating qualitative data, interpreting the data and finally writing accounts of qualitative data. The advanced qualitative unit introduces students to alternative techniques such as narrative analysis or discourse analysis.

Deadline: April