2 day

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.

Using only free and open tools, this workshop will run through setting up and managing your questionnaire in a way that it can be delivered on the web, on paper or via a telephone interview.

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 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.

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 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.

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. 

This two-day online 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.

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. 

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.

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.

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

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

Survival analysis is used to find out the time it takes for an event of interest to occur (e.g., death, birth, recidivism). This course is designed as an introduction to survival analysis.

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.

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.

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

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.

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. 

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

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.

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.

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.

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.