Quantitative

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.

This course is designed as an advanced course in Structural Equation Modeling (SEM) for existing Mplus users or for existing AMOS and LISREL users who wish to convert to Mplus.

This course provides an overview of Longitudinal Data Analysis. As well as the statistical theory, an overview of the many applications and capabilities of LDA is given.

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. 

This course is designed as an advanced course in Structural Equation Modeling (SEM) for existing AMOS and/or Mplus users. 

This course will help build participants’ ability to work with data in R and undertake rigorous statistical analysis, including spatial analysis and linear regression, and create publication-standard graphs of the results. The end result will be more professional and easy to understand research.

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.

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 course will help build participants’ ability to work with data in R and undertake rigorous statistical analysis, including spatial analysis and linear regression, and create publication-standard graphs of the results. The end result will be more professional and easy to understand research.

This course covers enough of the statistical material for the intelligent use of multivariate statistical techniques. The approach is informal and applied rather than emphasising algebraic manipulation or proofs.

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.

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

The aim of this course is to provide students with an accessible introduction to the fundamentals of quantitative political science research.

This course aims to provide you with the understanding and experience to undertake a basic research project in the social or health sciences using Stata as the statistical tool.

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

This course is designed as an advanced course in Structural Equation Modeling (SEM) for existing AMOS and/or Mplus users.

An introduction to approaches for collecting and analysing network and text data from Social Media, (Reddit, YouTube and Mastodon) and the WWW (hyperlink networks) using the R statistical software.

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 course provides an overview of the fundamentals of SEM. As well as the statistical theory, an overview of the many applications and capabilities of SEM is given.

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.

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

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.

This intermediate course will help you choose from a range of statistical procedures to analyse your data. It aims to provide participants with an ability to understand, run and interpret these procedures.   

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

An introductory unit in statistical methods with the emphasis on statistical techniques applicable to the social sciences, although these introductory techniques are also relevant to the health sciences.

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.

This course provides hands-on experience for newcomers learning programming in R, a free and open-source language for statistical computing. 

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

This course is designed to cover the fundamental principles of Structural Equation Modeling (SEM) and introduce the AMOS and/or Mplus software packages to estimate structural equation models.

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.

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

This course is designed as an applied introduction to the use of the Mplus software for estimating basic structural equation models.

This course is designed as an applied introduction to the use of the AMOS software for estimating basic structural equation models.

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.

This intermediate course will help you choose from a range of statistical procedures to analyse your data. It aims to provide participants with an ability to understand, run and interpret these procedures. 

This course provides an overview of Longitudinal Data Analysis. As well as the statistical theory, an overview of the many applications and capabilities of LDA is given.

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 course aims to provide you with the understanding and experience to undertake a basic research project in the social or health sciences using Stata as the statistical tool.

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.

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.

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.

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. 

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 course provides an overview of the fundamentals of SEM. As well as the statistical theory, an overview of the many applications and capabilities of SEM is given.

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 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 course covers enough of the statistical material for the intelligent use of multivariate statistical techniques. The approach is informal and applied rather than emphasising algebraic manipulation or proofs.

This is an introductory unit in statistical methods with the emphasis on statistical techniques applicable to the social sciences, although these introductory techniques are also relevant to the health sciences.

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 is designed as an advanced course in Structural Equation Modeling (SEM) for existing AMOS users.