Resources - Quantitative Methods in Education (QME)

Resources

The National Centre for Research Methods (NCRM)

Based at the University of Southampton, The National Centre for Research Methods (NCRM) provides cutting-edge research methods training and capacity building across the UK. The centre runs a diverse programme of courses, workshops and events throughout the year, covering a vast array of topics in a variety of interactive formats.

The NCRM offer over 70, completely free, online tutorials, ranging from beginner to advanced, including topics such as “Advanced Bayesian Methods” and “Introduction to Latent Class Analysis”. Click here to access the full selection on online tutorials.

The NCRM also offer training courses which can be viewed here.

Education Endowment Foundation (EEF)

The EEF are an independent charity dedicated to breaking the link between family income and educational achievement. They provide some of the most cutting edge evidence syntheses, toolkits and resources from early years up to post-16 education.

The EEF developed toolkits are designed to support teachers and school leaders who are making decisions about how to improve learning outcomes.

The teaching and learning toolkit can be found here.

The Early Years toolkit can be found here.

National Foundation for Education Research (NFER)

The NFER is a leading independent provider of educational research in the UK. The NFER has a long and successful history of contributing to the development and delivery of international large scale assessments (ILSAs) and benchmarking studies, including: PISA (the Programme for International Student Assessment), TIMSS (Trends in International Mathematics and Science Study) and PIRLS (the Progress in International Reading Literacy Study).

The NFER Education Trials Unit is dedicated to randomised controlled trials. More information on their RCT can be found here.

The NFER are able to offer training and consultancy on the following topics: Evaluation, qualitative research, survey research, analysis of large data sets, randomised control trials, reviews and evidence scoping, assessment design and delivery and psychometrics.

Welcome to the blog of the Quantitative Methods in Education Group at the University of Southampton

We are a group of academics based in Southampton Education School at the University of Southampton. Together, we make full use of the diverse and expanding range of innovative research designs, methods, and techniques that are available to the contemporary educational researcher that fall under the umbrella term 'Quantitative Methods'.

On this site you will find information on:

. Our group aims and goals

. Who we are and what we do

. Our latest research

. Useful quantitative resources

. Information on enquiring about working with us

Hello and a warm welcome to the Quantitative Methods in Education (QME) group here at the University of Southampton.

The QME group is both inclusive and welcoming . Our membership cuts across the research centres in the Southampton Educational School, includes both faculty staff and doctoral students, and reaches out to welcome researchers elsewhere in the university and external organisations.

We welcome contact both from prospective research partners and prospective PhD students.
Dr James Hall,
QME Group Lead

Group Aims

1. To foster quantitative methods as they are used in education: research, policymaking, and professional practice (including educational interventions and assessment).

This includes educational research within the University of Southampton, within the UK, and internationally, with a particular focus on advancing educational research that unravels issues of educational effectiveness and educational equity.

2. To develop and improve the quantitative methods that are used in education research, policymaking, and professional practice. This with the understanding that research-driven policymaking and professional practice is wholly dependent upon the appropriate research methods being used in appropriate ways.

3. To foster quantitative analysis of datasets pertinent to advancing educational research, policymaking, and professional practice. Thus we aim to support both secondary statistical analyses, machine learning and AI, and data-driven research.

Watch this short video to find out more.