Data Analysis

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 users.

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.

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.

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

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 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.

The focus of this course is on learning advanced statistical methods using R.

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.   

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.

A practical introduction to the network perspective and social network analysis (SNA), with a focus on applications in political analysis.

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

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 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. 

This 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 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.

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.

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 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.

The focus of this course is on learning advanced statistical methods using R.

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.

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

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.

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

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 covers the foundations of designing, implementing and analysing basic online survey experiments in political science. 

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.