This module is an introduction to regression analysis. It will be a pre-requisite for all advanced quantitative modules in Term 2. However, please note that exemptions from this module may be considered for students coming with particularly strong skills in this area (please discuss directly with the programme leader and inform the programme administrator).
The module starts with an introduction to Ordinary Least Squares (OLS) regression and the assumption behind them and moves through topics on OLS violations, transforming variables, non-linear effects, dummy variables and interactions and finished with a range of limited dependent variable models.
Each lecture will be mirrored by a practical workshop seminar where students will put the analytical techniques introduced in the lectures to use. Students will analyse a large datasets using a statistical computer package (STATA) and will be encouraged to develop good practice in presenting and interpreting the statistics they produce. By the end of the course students will be able to carry out an independent piece of research using regression techniques and will present this work in class. Students should also be able to analyse critically the use of statistics in social research and to feel comfortable with using different regression techniques to answer questions about social phenomena.

QUALITATIVE RESEARCH|ETHICS|RESEARCH DESIGN|DATA|INTERVIEWS|FOCUS GROUPS|VISUAL METHODS|CODING

This module introduces students to different approaches to qualitative research design, data collection/generation and analysis. Students will develop skills...

Introduction to Qualitative Methods (SOCS0052)

This module introduces students to different approaches to qualitative research design, data collection/generation and analysis. Students will develop skills in computer aided qualitative analysis using NVIVO and undertake a small piece of qualitative analysis themselves. On completion of the module students should be able to demonstrate their ability to: Understand how methods and theory are linked in qualitative research; demonstrate an understanding of qualitative data interpretation, presentation and ethical awareness; apply different approaches to qualitative interviews and data collection/generation; exercise reflexivity and ability to interrogate the qualitative research process and findings; analyse qualitative data using the software NVIVO; and critically appraise and demonstrate rigour in qualitative research. It is a core module that is required to study Advanced Qualitative Methods in Term 2. However, please note that exemptions from this module may be considered for students coming with particularly strong skills in this area (please discuss directly with the programme leader and inform the programme administrator).