This course offers a hands-on introduction to creative approaches to doing qualitative research. It is designed for researchers and PhD students who already have a background in qualitative research techniques and would like to expand their knowledge to include more creative techniques. The course will engage with various stages of research including data collection and analysis through to sharing qualitative data.

This course offers an introduction to digital methods and practical experience of how to use a range of digital tools, techniques, and software to study culture and society. You will explore how digital methods and methodologies have shifted and changed over time, including their affordances and limitations. 

This course offers a comprehensive introduction to the analysis of longitudinal data. Different disciplines within the social sciences have developed distinct analytical frameworks to analyse panel data, and this course will provide an overview of some of these strategies.

We start the course with overview the ontological and epistemological foundations of SNA and how they call for a mixed method approach. We will learn and practice how to collect SNA data via qualitative interviews and reflect upon the use of secondary qualitative sources. We will then outline the underlying logic of social network and discuss how to build social network typologies, model their outcomes, and test and reformulate social network theory.

This in-person course introduces a critical but friendly approach to qualitative interviewing which recognises the messy realities of carrying out interview research and analysing interview data.  it aims to give students the arguments and tools they need to feel confident in their chosen approach.

Overall we aim to bring intermediate users of regression modelling towards having skill and confidence in getting predictions which give nice visual summaries of the findings, including uncertainty about various special and/or spatial parameters.  Bayesian models are often used to obtain results in complex situations, such as population counts or time-use (minutes per day), so we explore basic and intermediate Bayesian methods using R and R Stan.

This in-person course provides a comprehensive introduction to using NVivo to manage the data and analyse a qualitative or mixed methods research project.