Masterclass

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

This course is designed as an introduction to mixed effects modelling. These models involve data arising from longitudinal studies or studies where the data exhibits some form of hierarchy, and sometimes referred to as multilevel modelling.

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.

A step-by-step, interactive introduction to Python for participants with no experience with this software package. 

Multivariate analysis of variance (MANOVA) is an extension of analysis of variance (ANOVA) to deal with two or more continuous outcomes or dependent variables. This technique is used to determine whether multiple levels of independent variables on their own or in combination with one another have an effect on the outcome variables.

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 hands-on introduction to applied choice modelling using the open-source Apollo software for the estimation of choice models. 

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.

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

An 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. 

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.

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

Designed for the applied users of R, this master-class will show you how to access spatial data from a number of sources, match this with geographic shape files, analyse spatial patterns, link these data to information from surveys, and create interactive maps to highlight important findings.

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.

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. 

This workshop will give you repeatable workflows: a mindset on how to start thinking about AI at the automation and decision-support layer. The aim to leave with a few methods that genuinely save time, improve clarity, and thrive with tools we have on hand.

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

This masterclass introduces students to choice models, discusses and contrasts the family of available model structures, and covers both estimation on data and the use of models to produce outputs for policy. 

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. 

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.

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

Designed as an applied introduction to SEM using Stata, this course aims to provide participants with a sound understanding of when to use SEM and how to assess and report their models.

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.

This masterclass introduces students to choice models, discusses and contrasts the family of available model structures, and also talks about the data requirements, model estimation, and the use of models to produce outputs for policy. 

An introduction to supervised machine learning techniques for data science, providing an interactive step-by-step guide to running some of the standard statistical regression and classification machine learning models that every data scientist should know. 

This masterclass is an introduction to linear and non-linear predictive models. It will provide an interactive step-by-step guide to running these models and key diagnostics using the R software platform.

Designed as an applied introduction to SEM using Stata, this course aims to provide participants with a sound understanding of when to use SEM and how to assess and report their models

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.

This masterclass offers a step-by-step, interactive introduction to R and RStudio for participants with no experience with these software packages.

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

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.
 

This master-class has two objectives – to teach the design principles required to make plots that really have an impact on the reader, and to teach the practical skills required to create these plots within the R software package.

Time-series analysis is gaining popularity across many disciplines for its ability to detect trends. This course takes a practical applied approach (rather than mathematical) and participants are provided with detailed, hands-on experience in running basic time-series analysis using Stata.