5 day

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 for individuals with limited or no previous experience with qualitative traditions or techniques of inquiry.

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.

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 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.

A 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.

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.

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.

A 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.

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

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

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 AMOS and/or Mplus users.

This is an introductory unit for individuals with limited or no previous experience with qualitative traditions or techniques of inquiry.

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.

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 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 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.

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

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

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 applied introduction to the use of the AMOS software for estimating basic structural equation models.

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

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

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.

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.

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.

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

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.

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

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

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.

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