In person

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 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.

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.

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

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 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.

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

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

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

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

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

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. 

An introductory course designed for the individual with limited or no previous experience with qualitative techniques of data collection and analysis.

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

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 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 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 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 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.

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