Qualitative

A 3-day introductory course, designed for the individual with limited or no previous experience with qualitative techniques of data collection and analysis.

How to set up, conduct and export your data for a web based survey in the freely available Limesurvey web survey software system.

This master-class is relevant to PhD students and early career researchers and more experienced researchers, who want to do qualitative research and to write it up rigorously and effectively.

This course is an introduction to time-series concepts and univariate time-series analysis. This course takes a practical applied approach (rather than mathematical), in running basic time-series analysis using Stata.

This master-class introduces NVivo, and takes researchers through the process of sorting and organising literature and notes from readings in a systematic way. 

Taught by an instructor with real-world experience as a campaign consultant, survey researcher and data scientist, this 2-day masterclass will focus on teaching you about survey design.

Collecting survey data can be expensive and time-consuming; therefore it is appropriate to ensure that usable and reliable data are collected. This 2-day course is designed to prepare participants to build hard copy or internet surveys to meet a variety of needs.

This Master-class will provide participants with an understanding of, and practical experience with video-reflexivity and how it can be used to examine and understand organisational practices, as well as promote engaged learning and sustained impact.

The workshop aims to provide researchers with essential skills in using the NVivo software. The focus is on developing the essentials skills from NVivo through hands-on experience.

A 2-day applied introduction, providing a theoretical overview to discourse analysis using a variety of textual data, introducing you to critical methods for analysing and interrogating discourses. 

A 5-day course designed for participants who have undertaken a qualitative study in their work or study and would like to build their theoretical knowledge and applied skill base in qualitative research.

An introduction to Large Language Models (LLMs) in the context of social sciences, offering hands-on, practical experience - no coding expertise or advanced maths skills required.
 

A course for participants who have experience in qualitative or quantitative research and who are interested in applying QCA in their current or future studies.

This course introduces the principles of survey design and standard practices in the field, with particular emphasis on measuring political attitudes, public opinion and electoral behaviour.

This is a 3-day introductory unit for individuals with limited or no previous experience with qualitative traditions or techniques of inquiry.

This is a 5-day introductory unit for individuals with limited or no previous experience with qualitative traditions or techniques of inquiry.

We will explore the key features and different types of mixed method design; critically analyse the benefits and challenges associated with the design and implementation of each design type; and the analysis and write-up of mixed method studies.

A one-day, hands-on, advanced qualitative interviewing workshop where you will learn how to acquire high-quality, multi-dimensional data that can meaningfully impact evidence-informed decisions.

This is a practical masterclass is aimed at researchers with some qualitative writing experience who are looking to extend their knowledge and learn some practical tips for managing the process more efficiently. 

From conversations to focus groups, this two-day intensive will help professionals, researchers and evaluators create careful and impactful interviews.

This is an online, self paced introduction to core concepts, methods and tools in computational social science focusing on three themes: (1) networks as data; (2) text as data; (3) prediction and simulation.

Whether you're looking to add AI to your research toolkit or just curious about what deep learning can do, this masterclass will give you the foundation you need to start experimenting with confidence.

A practical, hands-on approach to the key writing challenges qualitative PhD researchers face at every stage of the journey, from crafting a coherent methodology chapter to writing up qualitative data in a way that does justice to your findings. 

An applied comprehensive understanding of focus group design and moderation, establishing the theory and methods of focus group research and offering techniques for managing challenging groups.

The aim of this course is to introduce students to the foundations of Critical Discourse Analysis and specifically the Fairclough method. 

This short webinar demonstrates the set up and execution of an evaluation questionnaire. It shows how to use LimeSurvey for the first time, and gives some hints at the advanced functionality available for more experienced users.

This 2-day master-class provides a comprehensive introduction to the use of MAXQDA for qualitative analysis, focusing on harnessing its tools appropriately within methodological contexts. 

This course introduces core qualitative methods for political science, teaching how researchers collect and interpret unstructured evidence through immersive and interpretive approaches. It is structured around 3 types of qualitative data and the methods for collecting them: oral history, political ethnography and qualitative archival analysis.

This two-day course will address the issues of preparing for, collecting, managing and analysing  data from Face to Face and Focus Group interviews from a practical perspective.

The aim of this course is to introduce and build capacity for Interpretivist Methods in Political Science.

Designed for mixed methods and qualitative researchers, this course covers data collection and research design, visualisation and basic analytic methods used in social network research.

Guidance for early career researchers on how to use the latest constructionist approaches, which treat our data as instances of complex behaviours and hence complementary to quantitative research.