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National Centre for Research Methods

National Centre for Research Methods

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A systematic approach to understanding trade-offs when designing & remodeling social surveys


In this online course, we outline a comprehensive framework for understanding the trade-offs involved in designing and remodelling social surveys. Our framework is rooted in the Total Survey Error and Total Survey Quality approaches, balancing the need to reduce sources of error against the constraints of a project, time and costs. Through real-life examples and case studies, we discuss the advantages and disadvantages of different research designs, with a focus on mixed-mode surveys, and the key steps involved in making informed decisions and remodelling surveys.

This course is for anyone involved in the design of survey research and will be particularly relevant for those who are running an existing survey and exploring alternative modes of data collection.

StartEndPlaces LeftCourse Fee 
20/11/202421/11/20240[Read More]

Analysing Election and Public Opinion Data (online)


This course offers a deep dive into the analytical techniques used to dissect election and survey data, providing insights into the mechanics of political behaviour and electoral dynamics. 

Participants will explore a range of statistical methods and models, from measuring ideological leanings and voter segmentation to modelling electoral behaviour.

Through a blend of theory and practical application using real-world data and case studies, the course aims to equip attendees with a nuanced understanding of the complex

StartEndPlaces LeftCourse Fee 
25/06/202425/06/20240[Read More]
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Applying participatory methods for social change: A hands-on learning session


This two-day in person course aims to provide participants with an opportunity to learn about and practice creative participatory methods that have been applied with people and communities to understand needs, set priorities and co-develop actions for social change.

The methods presented will include transect walks, photovoice, body mapping, stepping stones and others. Learners will hear how researchers and community partners globally have used these methods to co-create new knowledge together and the impact these have had. They will then be provided with tools to practice these methods within a group or individually, and to reflect on being a participant, facilitator, or observer/documenter. Participants will also be involved in a discussion about power and inclusion in participatory research.

This will be followed by hands-on experience of facilitating a co-analysis exercise, triangulating data across methods and developing themes. 

StartEndPlaces LeftCourse Fee 
01/07/202402/07/20240[Read More]

C-BEAR Summer School - Introduction to Experimental Methods in Social Sciences


This five-day workshop introduces participants to the theory and practice of experimental methods in Social Sciences. It delivers an overview of prevalent approaches, specifically lab, field, and survey experiments, providing a solid introduction to experimental methodology and the practical skills to design, implement, analyse, and present experiments. 

The target audience of the course are professionals and researchers, especially those approaching experimental methods for the first time. The course does not require any previous knowledge of experimental design or statistics and is open to participants with basic secondary school knowledge of mathematics. Prospective participants with some prior knowledge of experimental methods that would like to deepen their knowledge and skills on one specific approach (lab, field, or survey), can selectively sign up for sessions across the three days covering those approaches. 

The workshop objective is to teach participants to become critical readers of the experimental literature, and to equip them with the ability to design, implement, analyse, and report their first experiment. 

The workshop will also briefly overview service providers for marketing experiments (Facebook, Google), access panels and online marketplaces (Lucid, MTurk, Prolific, etc.), and survey providers that support survey experiments (Yougov, Ipsos etc.).  

The workshop will be taught by an interdisciplinary team of faculty members of the Centre of Behavioural Experimental and Action Research (C-BEAR), leveraging examples from Politics, Economics, Business and Psychology.

The workshop will address the responsible conduct of research during experimental studies, covering research ethics, pre-registration, and debriefing practices for deceptive research designs.

Days 1 and 2  will provide the basic knowledge to design, analyse and present experiments such as randomised controlled trials (RCTs), while Days 3, 4, and 5 will focus on laboratory, survey and field experiments.

By the end of the course participants will:

  • Be able to read critically the literature on experimental methods in a variety of different disciplines.
  • Know how to interact more effectively and efficiently with service providers that offer A/B testing experiments, surveys experiments, or participants’ panels.
  • Know how to design, pre-register, implement, analyse and present simple experiments.
  • Be familiar with classic lab, survey, and field experiments.
  • Be familiar with the ethics and legal requirements for conducting experiments with human subjects.
  • Be familiar with the statistical methods required for analysing simple experiments.

The target audience of the course are professionals, members of public institutions and researchers that are approaching experimental methods for the first time and are interested to implement an experiment for the first time or to commission an experiment to a survey company or other service provider.

The course does not require any previous knowledge of experimental design or statistics and is open to anybody with basic high school knowledge of mathematics.  The level (junior, senior, etc.) of the course is open.

The workshop is designed to have no requisite beyond a basic understanding of secondary school mathematics. The first two days will provide the students the mathematical and statistical tools to engage effectively with the rest of the course.

Participants need to bring their own device that can run basic office suites, and free versions of R and Stata. A tablet with a keyboard might also work. 

StartEndPlaces LeftCourse Fee 
01/07/202405/07/20240[Read More]

Confident Spatial Analysis and Statistics in R and GeoDa - Online


In this online course, run over two mornings, we will show you how to prepare and conduct spatial analysis on a variety of spatial data in R, including a range of spatial overlays and data processing techniques. We will also cover how to use GeoDa to perform exploratory spatial data analysis, including making use of linked displays and measures of spatial autocorrelation and clustering.

The course covers: 

  • Understanding and being able to interpret Spatial Autocorrelation measure Moran's I
  • Understanding Local Indicators of Spatial Association statistic
  • Perform Spatial Decision Making in R
  • Perform Point in Polygon analysis using different approaches
  • Be aware of the advantages and disadvantages of using point based or polygon based data
  • Using buffers as a part of spatial decision making

By the end of the course participants will:

  •  Be aware of some spatial statistics concepts and be able to apply them to their own data using GeoDa
  •  Be able to perform spatial decision making 
  •  Understand the limitations and benefits of working with data in this way

This course is aimed as PhD students, post-docs and lecturers who have some existing knowledge of using R as a GIS and want to develop their knowledge of spatial stats and spatial decision making in R. Some prior knowledge of both R and GIS is required. It is also appropriate for those in public sector and industry who wish to gain similar skills. 

Students will be using R, RStudio and GeoDa. 

Students need to have completed my Introduction to Spatial Data and Using R as a GIS (https://www.ncrm.ac.uk/training/show.php?article=13142) course, or have equivalent experience. This includes:

Using R to import, manage and process spatial data

Design and creation of choropleth maps

Use of scripts in R

Working with loops in R to create multiple maps

For more information, please look at the link above or contact X. 

Students will need R (v > 4.0), and the sf, tmap, dplyr libraries. They will also need RStudio (v > 2023.01 or greater)

No prior knowledge of GeoDa is needed. It can be downloaded following the instructions at https://nickbearman.github.io/installing-software/geoda. Version 1.20 or greater is required. 



StartEndPlaces LeftCourse Fee 
16/07/202417/07/20240[Read More]
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Co-production: an Arts in Health Approach


This course will introduce participants to arts in health as a field of study. This will be used to frame co-production in social health research. It will provide a background into the theories behind co-production as a research method, which sits in the anthropological field by its immersive nature. This pedagogy will provide a background to social policy and menstrual health, taking a closer look at menstrual artivism artefacts as a form of qualitative data.

StartEndPlaces LeftCourse Fee 
24/10/202425/10/20240[Read More]
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Developing and Evaluating Complex Interventions - F2F


This in-person course will provide participants with an understanding of the complex intervention research process. Presentations and activities will relate to the main concepts of developing/identifying and evaluating complex interventions and support participants to apply the principles to their own research. It will focus on the overarching considerations required to develop complex intervention research projects, rather than the details of study design, and enable researchers to develop and conduct research that will provide the most useful evidence for decision making. The course will be structured around the MRC/NIHR Framework for Developing and Evaluating Complex Interventions. There will be a mix of lectures and small group activities to put learning into practice. 

It is for anyone interested in developing, evaluating and implementing interventions with the intention of positive health and/or social change. This could be academic or other researchers, practitioners, or others interested in implementing the best process for their intervention development or evaluation. Participants should have some familiarity with the framework for developing and evaluating interventions, and some experience of working with complex interventions. 

The course covers: 

  • Introduction to using the Framework
  • Developing and identifying interventions
  • Feasibility research
  • Evaluation research
  • Implementation & round up


StartEndPlaces LeftCourse Fee 
05/11/202407/11/20240[Read More]

Four Qualitative Methods for Understanding Diverse Lives (academics) - Online


In this one-day online training workshop you will be introduced to four qualitative research methods to better understand diverse lives - Photo Go-Alongs, Collage, Life History Interviews and Participant Packs. When researching social groups, researchers may focus on categories such as age, gender, sexuality and so on. These categories can turn catch-all terms into catch-all agendas. Treating groups of people with one shared characteristic as homogenous risks a cookie-cutter approach which overlooks diverse lives and needs. Given the complexity of what it means to be a person, a one-size fits all approach to engagement cannot suffice. The methods introduced in this training workshop are beneficial in exploring diverse lives and can be used when researching with any group. 

The session is aimed at PhD students and academics of all career stages across the UK who want to better understand: 

  • The specific place-based needs of people 
  • The everyday practices of people
  • The world from participants’ perspectives
  • How to work with people in an inclusive and accessible way

This online training workshop will be structured as follows:  

  • Introductions
  • Origins and Approach 
  • Methods deep dive: 
  • Photo Go-Alongs
  • Participant packs
  • Collage 
  • Life Histories 
  • Workshops 
  • Learnings and close 

By the end of the course participants will:

  • Be able to think critically about how creative, participatory methods might be incorporated into their research and/ or teaching. 
  • Have broadened their understanding of research methods from tools of data collection to techniques for capacity building.
  • Have workshopped four qualitative methods for creatively engaging with people (Photo Go-Alongs, Collage, Life Histories and Participant packs).

This online training workshop will take place over the course of 1 day on Wednesday 11th December between 10:00 and 16:00, with 1 hour for lunch between 12:30 and 13:30. 


StartEndPlaces LeftCourse Fee 
11/12/202411/12/20240[Read More]
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From SPSS to R


This course is an introduction to R for users of the analysis software SPSS. It provides an introduction to the RStudio working environment, fundamentals of coding in R, R data types and structures, and a grounding in tidyverse style coding for standard data management tasks. At the end of the course attendees should be able to work confidently with data within R in preparation for analysis, as well as produce simple descriptives to explore and understand their data.  This course may also be suitable for users of Stata.

Attendees should install R / RStudio in advance of the session, and verify that they can install packages successfully. It will not possible to provide technical support for this during the training, as issues can be specific to each user, e.g. their operating system or organisational IT policies.

StartEndPlaces LeftCourse Fee 
10/07/202410/07/20240[Read More]

How to Use Gen AI: A Beginner’s Workshop for Researchers


This two-hour workshop will explore what Gen AI tools exist that are helpful for researchers and how we can use them to optimise research processes.

It is a workshop for Gen AI beginners not Gen AI experts. We will explore a range of mainstream Gen AI tools (e.g. ChatGPT, Claude, Co-Pilot) and research specific ones (e.g. SciSpace, Research Rabbit, Elicit) and examine how they work through hands-on tasks.

By the end of the workshop, you will feel confident in what Gen AI can do (and what it can’t!), how to prompt engineer for research tasks, and the ethics of using Gen AI as a researcher

StartEndPlaces LeftCourse Fee 
03/07/202403/07/20240[Read More]
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Introducing Qualitative Longitudinal Research: From Design to Analysis (online)


This one-day online, interactive course will provide a practical introduction to qualitative longitudinal enquiry. The morning session will explore key design features of this methodology, including how to build time into a study, how to sample through time, how to generate temporal data, the ethics of longitudinal enquiry, and the potential to create real-time impact in policy processes. The afternoon session will focus on the intricate nature of QL analysis. The course will comprise two lectures and two interactive workshops (see below and attached programme for further details).

The course will be delivered by Bren Neale, a specialist in QL research and the author of two books on this methodology.

StartEndPlaces LeftCourse Fee 
13/09/202413/09/20240[Read More]
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Introduction to agent-based modelling for public health research


This in-person course is for anyone interested in agent-based modelling for public health research. During the course, participants will be introduced to principles, concepts, and steps of building and analysing agent-based models, including conceptual model development, agent-based model development and verification, model documentation, and running and analysing of experiments. The course is primarily based on hands-on activities using the free, open-source software NetLogo, complemented by lectures and readings.

This course comprises four full days (9am - 4pm) of activities. No previous knowledge or skills in agent-based modelling or NetLogo is required. We welcome everyone interested in the course, with no minimum academic degree required. Participants will benefit from the assistance of 2 experienced modellers throughout the course and solutions to the exercises will be provided.

StartEndPlaces LeftCourse Fee 
01/07/202404/07/20240[Read More]

Introduction to ArcGIS Online


This practical, one-day hands-on course provides a guided introduction to the workflow in ArcGIS Online (AGOL) for uploading and sharing your spatial data. You will learn how to publish existing vector data to AGOL, create views, set sharing and group privileges, create a web map that drives data collection and forms the foundation to an Experience Builder web application. The course comprises hands-on exercises each introduced with a short presentation and a live demonstration.

The course covers: 

  • An introduction to ArcGIS Online (AGOL).

  • Sharing your vector data from ArcGIS Pro to AGOL.

  • Controlling access (settings, groups and views).

  • Create a web map from your shared data.

  • Build a web map application in Experience Builder.

  • Configure layers for data capture.

  • Accessing data in AGOL directly within ArcGIS Pro.

By the end of the course participants will be able to:

  • Prepare and upload vector data from desktop ArcGIS Pro to ArcGIS Online.
  • Create views, groups and set access privileges for hosted feature layers.
  • Create a web map, set layer symbology and configure pop-ups.
  • Edit a layer and conduct data capture.
  • Create an Experience Builder application from the web map.
  • Access layers in AGOL directly within ArcGIS Pro for data analysis.

This course is intended for users of ESRI’s ArcGIS Pro software who wish to improve their technical knowledge and understanding in ArcGIS Online (AGOL), the cloud-based counterpart, to traditional desktop GIS. Delegates must be familiar with the basics of using ArcGIS Pro and spatial data, familiarity with AGOL is an advantage but not essential. Training will be run at our dedicated training suite located on the Highfield Campus, University of Southampton. Room 1065 in building 44 (Shackleton).  GeoData will provide access to ArcPro 3.x and ArcGIS organisational logins for the course duration.

This course will run from 09:30-17:00.

StartEndPlaces LeftCourse Fee 
08/10/202408/10/20240[Read More]

Introduction to Longitudinal Data Analysis


Longitudinal data is essential in a number of research fields as it enables analysts to concurrently understand aggregate and individual level change in time, the occurrence of events and improves our understanding of causality in the social sciences.

In this course you will learn both how to clean longitudinal data as well as the main statistical models used to analyse it. The course will cover three fundamental frameworks for analysing longitudinal data: multilevel modelling, structural equation modelling and event history analysis.

The course is organized as a mixture of lectures and hands on practicals using real world data. During the course there will also be opportunities to discuss also how to apply these models in your own research.


-       To gain competence in the concepts, designs and terms of longitudinal research;

-       To be able to apply a range of different methods for longitudinal data analysis;

-       To have a general understanding of how each method represents different kinds of longitudinal processes;

To be able to choose a design, a plausible model and an appropriate method of analysis for a range of research questions

StartEndPlaces LeftCourse Fee 
03/05/202431/05/20240[Read More]

Introduction to National Pupil Database - Online


This course provides an introduction to National Pupil Database (NPD), an administrative data resource covering the education system in England.

The course covers:

  • The population coverage of NPD
  • The component modules of NPD and how they link together
  • How to create a longitudinal picture of pupils’ lives in schools
  • Key data cleaning routines
  • Accessing NPD

By the end of the course participants will:

  •  Be familiar with the structure of NPD
  •  Understand the strengths and limitations of the data available
  •  Know where to go to find more detailed information
  •  Know how to apply for access

This course is suitable for anyone intending to undertake quantitative research on the school system in England. No prior knowledge of the NPD or statistical code is required to access the course.


StartEndPlaces LeftCourse Fee 
13/11/202414/11/20240[Read More]
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Introduction to Social Network Analysis - online


To prevent obesity or smoking initiation among teenagers, who should be targeted in an intervention? How can we contain the spread of an infectious disease under limited resources? Who should be vaccinated first in order to be most effective during vaccination shortages? How can we dismantle a terrorist organization, a drug distribution network or disrupt the communication flow of a criminal gang?

Social network analysis offers the theoretical framework and the appropriate methodology to answer questions like these by focusing on the relationships between and among social entities. Unlike transitional research methods, we shift the object of study from the individual as the unit of analysis, to the social relations that connect these individuals. A network is therefore a structure composed of units and the relationships that connect them. Network analysis is about the position of these units, the overall structure and how these affect the flow of information.

StartEndPlaces LeftCourse Fee 
04/11/202405/11/20240[Read More]

Introduction to using linked data between the Ministry of Justice and Department for Education


This short online course provides an introduction to an existing data linkage between the Ministry of Justice and Department for Education, with a particular focus on the Police National Computer (PNC) and National Pupil Database (NPD). The course will include a mixture of lectures, interactive sessions, and practical exercises to put learning into practice.

The course covers: 

  • Accessing the data share

  • Overview of available data 

  • Tips and considerations for data cleaning

  • Successfully clearing outputs

  • Case studies using the linked dataset

By the end of the course participants will:

  • Know how to access the data share
  • Be familiar with the content of the data
  • Know how to navigate some data cleaning challenges
  • Understand some strengths and limitations of the data
  • Know how to create successful outputs for clearance

This course will suit anyone interested in conducting quantitative data analyses using linked education and crime data in England. This may include, but is not limited to, quantitative researchers in academic, government, or third sector settings. People at any stage in their research career would be welcome, but the course will likely most interest PhD students, early career researchers, and mid career researchers.  

No specialist prior knowledge of the NPD, PNC, or statistical software is needed to attend, but a basic knowledge of research design and quantitative data analysis would be beneficial.

No prior reading is required for this training, but applicants may wish to explore existing outputs arising from the NPD and PNC, such as:



StartEndPlaces LeftCourse Fee 
20/11/202421/11/20240[Read More]
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Participatory Action Research (PAR): Equitable Partnerships and Engaged Research - Online


PAR aims to create a space for researcher and participants to co-produce knowledge and where relevant, action for change. PAR is considered as a research paradigm in itself, that embodies a particular set of concepts under which researchers operate (Minkler and Wallerstein 2008). These include respect for diversity, community strengths, reflection of cultural identities, power-sharing, and co-learning (Minkler 2000). In this session we will explore these principles, the cyclical approach to PAR and what this means in practice. Participants will be given the opportunity to learn terminology, understand participation in community engaged research, explore how power and positionality can change health outcomes in PAR, and learn about a variety of participatory methods and how they have been applied in different contexts, globally and within the UK. Participants will also be provided with the space to explore challenges they are facing in designing or implementing community engaged collaborative research within a discussion clinic forum. 

StartEndPlaces LeftCourse Fee 
06/08/202413/08/20240[Read More]

Random effects modelling – advanced issues (Online)


Random effects models are applied in a range of social science domains (e.g. education, health and economics). Across disciplines, however, they are often used for different purposes, with different specifications, or even with different terminologies.

These differences may well reflect genuine complexities and ambiguities that are associated with their implementation. This two-day course will focus on selected advanced issues in the application of random effects models in social research contexts. It is most suited to empirical social science researchers with some previous experience in using statistical models with random effects.

The participants will be invited to use their own computers in the virtual lab exercises. Participants should have at least one of the software packages Stata, SPSS and R installed on their computers in order to participate in the virtual labs. Example materials will be available in all three packages, although the largest volume of examples are available in Stata format. 
For webinar sessions: 

Required: Some previous knowledge and experience of using statistical models in the social sciences
Desirable: Some previous experience of implementing random effects models in applied research

Software requirements for participation in the virtual lab sessions: 

Required: Access to at least one software from Stata, SPSS or R. Use of a secure computer that will support downloading and storing data files. Previous experience of using ‘command syntax’ code in statistical software to analyse datasets.
Desirable: Access to more than one software from Stata, SPSS and R. Access to MLwiN. 

Course will be delivered online and course times are 10:00 – 16:00 each day 

StartEndPlaces LeftCourse Fee 
23/10/202424/10/20240[Read More]
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Randomised Controlled Trials (RCTs) for quantitative social researchers - online


Randomised controlled trials (RCTs) are heralded as the gold standard of research design in the social sciences. RCT principles are used in research at all levels of complexity from evaluating national social policies to experimenting with the impact of website designs (there often known as A/B testing). This course is for social researchers who have a firm grasp of the foundations of quantitative research methods (e.g., linear regression and confidence intervals) and would like to learn how to design and analyse randomised controlled trials. The course incorporates a blend of presentations and participatory sessions, using examples from the social sciences.

StartEndPlaces LeftCourse Fee 
11/09/202412/09/20240[Read More]

Researching with Communities - Online


This online course is aimed at researchers who are interested in learning more about community-engaged and co-produced research methods to conduct collaborative research with community groups and organisations. The training is delivered by two researchers with over 10-years experience in community-engaged research both of whom are also currently engaged in community-based research and teaching.

Over two half-days we will focus on both why and how to co-produce research with communities drawing on resources from academic and community sources as well as a range of useful examples from across our work in academia and the third sector. The course will focus in on the practicalities of working with and training community research teams as part of collaborative projects and will include practical ‘how-to’ guidance for enabling community researcher training to serve as an important space for collaboration across research teams. 

We broadly consider what we mean by community research exploring the different contexts this work has developed out of. We reflect on ethics, thinking about how to approach this work and suggest areas to consider in advance. We then focus on the ‘doing’ of the work, sharing the pragmatics of how we approach this work from designing research projects, to training collaborators, co-designing questions, carrying out fieldwork, analysis and dissemination. 

The training is discursive and interactive and aims to support people new to this area of research by sharing examples of practice and resources to draw on as well as enabling those with more experience to build on their existing knowledge.

The course covers: 

Introduction to community research

  • Introductions.
  • Exploring the definitions and principles of community research, co-production, engaged and participatory research.
  • Different approaches and perspectives to community research-looking across disciplines and sectors.
  • The role and potential of Community Researchers.
  • Motivations and values of community-based research 
  • Ethical practice – adopting an ethic and care and managing ‘mess’.

Motivations and values

When and how to co-produce – methods of co-production

  • Co-producing across the research cycle-pragmatics
  • Bringing different forms of expertise together-the role of training. 
  • Employing creative methods within community research 
  • What does ‘good’ look like?

By the end of the course participants will:

  • be able to situate coproduced community research within a diverse range of practice and traditions. 
  • be able to reflect on, anticipate and manage some of the ethical issues that may arise during community-based research 
  • be able to recognise when and how community-based research is appropriate. 
  • be able to draw on a range of pragmatic ideas and resources to support the set-up delivery and dissemination of community-based research.
  • be able to develop bespoke strategies to support community researchers within collaborative projects

This course is aimed at all researchers/project managers/public engagement professionals at any career stage interested in developing community based/co-produced/participatory research.  A basic working knowledge of zoom would be useful but a guide and support can be provided.

Preparatory Reading

Living Knowledge Report would be useful to review but no pre-reading is necessary. 

Creating Living Knowledge Report (2016): https://research-information.bris.ac.uk/ws/portalfiles/portal/75082783/FINAL_FINAL_CC_Creating_Living_Knowledge_Report.pdf

RACE Charter (2024): RACE+Charter.pdf (squarespace.com)

Community Researchers and Community Researcher Training (2018): Microsoft Word - Thomas-Hughes and Barke BLRP No. 10 - July 2018.docx (bristol.ac.uk)


StartEndPlaces LeftCourse Fee 
16/10/202417/10/20240[Read More]

Socio-economic and regional inequality in health - online


Economists (and social scientists more broadly) are increasingly focusing on the measurement and causes of inequality in health. This reflects the concern that health inequality reflects social injustices, and it is also in response to the trend away from a narrow focus on income inequality to broader inequality in wellbeing analysis.

This three-day online course aims to postgraduate researchers and analysts interested in quantitative analysis of inequity and (socio-economic and regional) inequality in health and health care. This consists of lectures and practical sessions on measurement and interpretation of inequity and inequality in health and health care. Specifically, this course provides a gentle introduction to the concept of inequity, socio-economic inequality, and inequality of opportunity in health, i.e., the “egalitarian” framework that does not necessarily indicate equality of the distribution of outcomes per se but emphasises the role of individual responsibility in defining a “fair” distribution of health in the society.

Recent advances in the survey measurement of health, in the context of large-scale social science datasets, allow us to access and collect physical measurements and markers derived from biological samples, in addition to self-reported health assessments. Measurement error in self-reported health data (as well as potential measurement errors in “more objectively” measured nurse-collected indicators in social science surveys) may significantly affect and contaminate the measurement of socio-economic inequality in health research when relying on these health measures. We will draw conclusions on the potential implications of measurement error in self-reported and measured health indicators for research in inequalities in health. Additional sessions will also take place on specific topics in health inequalities such as: a) the social and economic factors which may drive the observed regional inequalities in health within and between countries with the presentation of international evidence and practical sessions, and b) the role of reforms in shaping socio-economic inequality in health and healthcare.

We will also provide a good set of practical sessions and illustrative examples on the measurement of inequality in health using subjective and more objectively measured health indicators.

The course covers:

  •  A gentle introduction to inequity and socio-economic (and regional) inequality in health and health care
  • A number of approaches (employed by economists, social scientists and bio-social researchers) on the measurement of socio-economic inequality in health and healthcare
  • The concept of inequality of opportunity in health
  • Measurement of inequality and inequality of opportunity in health
  • Measurement error in self-reported (and measured) health data in social science surveys and its potential implications for the socio-economic inequality in health research.
  • The social and economic factors which may drive the observed regional inequalities in health within and between countries.
  • The role of reforms on shaping socio-economic inequality in health and healthcare.
  • Practical sessions and illustrative examples on the measurement of health inequality, measurement error in health outcomes and the potential implications for existing research in health inequality. 

By the end of the course participants will:

  • be able to understand several approaches (employed by economists, social scientists and bio-social researchers) on the measurement of inequity and socio-economic inequality in health and healthcare
  • be comfortable in computing health inequality measures using Stata
  • understand the concept of inequality of opportunity in health and its measurement via practical sessions in Stata
  • have the theoretical and practical knowledge to undertake basic research into health inequalities.
  • be familiar with measurement error in health data available at social science surveys and its potential implications for existing research in socio-economic health inequality. 

This course is aimed at Postgraduate researchers and analysts interested in the measurement of socio-economic inequality in health and health care, including (but not limited to): Academics, Government Researchers, Third sector organisations and (Health) Consultancy analysts. Participants will need intermediate knowledge of Stata.


StartEndPlaces LeftCourse Fee 
30/09/202402/10/20240[Read More]

Statistical methods for Criminology (online)


Data and statistics form the basis of much political discussion about crime, provide the foundation for evidence-based research on justice interventions, and shape our understanding of possible biases in the justice system.
However, working with any social science data can be complex, and there are particular features of working with criminological data that can pose challenges for researchers.

Data and statistics form the basis of much political discussion about crime, provide the foundation for evidence-based research on justice interventions, and shape our understanding of possible biases in the justice system.
However, working with any social science data can be complex, and there are particular features of working with criminological data that can pose challenges for researchers.

StartEndCourse Fee 
05/09/202405/09/2024[Read More]

Statistical Methods for Meta-Analysis with Life Science Applications


This is a two-day course on statistical methods for meta-analysis using the package STATA. The first day gives an overview on traditional techniques used in meta-analysis. The second day present more recent state-of-the-art modelling including mixed Poisson and binomial regression. The teaching style of the course is a mix of lectures and practical work. 

The course covers: 

  • Basic elements: Effect measures of interest; Mantel-Haenszel, case studies, continuous outcomes; graphical techniques, precalculated effect measures
  • Heterogeneity: why is there heterogeneity, study as random effect, sub-group analysis, meta-regression
  • Meta-analysis of rare events: what are the issues? Mantel-Haenszel estimation 
  • Modelling approaches for rare meta-analysis: Poisson and binomial with fixed and random effects
  • Meta-analysis for rare events: single- and double-zero studies and their effect
  • Conditional logistic regression

By the end of the course participants will:

  •  Be able to do a simple statistical meta-analysis using traditional techniques
  •  Be able to do a more advanced model-based meta-analysis 
  •  Know in which meta-analysis setting to apply the most appropriate statistical approach 

Preparatory Reading

Introduction to Meta-Analysis, second edition (authors: Michael Borenstein, Larry V Hedges, Julian P T Higgins and Hannah R Rothstein.

Knowledge in STATA is helpful but not an essential pre-requisite.

This course will take place at the University of Southampton from 9am to 5pm both days (please note refreshments will be provided but lunch will not).


StartEndPlaces LeftCourse Fee 
19/09/202420/09/20240[Read More]
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Taking Deliberative Research Online - online


Deliberative research is emerging as a critical method for exploring public attitudes particularly on social and policy problems that are contested, complex or uncertain.  More broadly deliberation - through methods such as Citizens assemblies and juries - is used in society as a way to engage citizens in policy decisions.

This live online course explores the principles, benefits and limitations of deliberative approaches to social research and engagement, with a particular focus on the challenges and opportunities of delivering these online. We cover a combination of theory and practical examples to consider both doing deliberative research and being a deliberative researcher.

It is suitable for those with existing experience of the theory and practice of qualitative research and aimed at those who have responsibility for designing, commissioning and overseeing the delivery of research projects. 

This course will be useful to you if:

  • You want to expand the range of participative qualitative methods you use for research
  • You want to learn more about the use of online approaches to social research
  • You have used deliberative research approaches in face to face studies and want to consider how to bring it online
  • You want to know more about deliberation in general and how to deliver deliberative processes


StartEndPlaces LeftCourse Fee 
08/10/202409/10/20240[Read More]

The Decolonial Researcher - In Person


This course will offer an in-depth exploration of decolonising academia by asking:

What are the possibilities when it comes to decolonial research? 

This one-day course will be split into four sections, as follows.

Firstly, the course will examine the decolonial critique of academia.

This will involve explore some of them main themes found within decolonial scholarship and activism with a specific focus on the decolonial critique of social science research.

Secondly, the course will explore some of the key predecessors of decolonial research which have had a significant impact on current thinking about decolonial research.  More specifically, consideration will be given to the relationship between feminist research, Indigenous research, and decolonial research.

Thirdly, the course will consider various strategies which have been suggested to decolonise research. This will involve discussing some of the practical strategies that may be used when trying to produce decolonial research.

Fourthly, the course will offer a critique of decolonial research. This will involve recognising the limitations of decolonial research which make it an imperfect approach to conducting research.

The course will be delivered in an interactive workshop format which will involve a mixture of lecture-style teaching, interactive large-group discussions, and small-group conversations. Researchers from all disciplines, expertise, and backgrounds are welcome to attend.

StartEndCourse Fee 
26/06/202426/06/2024[Read More]

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