QM teaching

Core training for MSC/PhD students

The QM hub provides high quality QM training for MSc and PhD students within OUDE. QM are introduced through input to the two Foundations of Educational Research modules (FER1/FER2) and culminate in two full modules Introduction to Quantitative Methods and Intermediate Quantitative methods. These modules are convened by Dr. Lars-Erik Malmberg drawing on QM expertise across the department. The introduction course covers basic statistical literacy, including theoretical ideas put to practice through application of parametric and non-parametric tests to real-world educational data. The intermediate course introduces multivariate statistics ranging from analysis of variance for experimental designs to regression techniques for survey data. Ideas and techniques are introduced in lectures, followed by workshops which focus on understanding of concepts, hands-on analysis using SPSS and Excel, interpretation and documentation of findings. Master classes and workshops on advanced topics (confirmatory factor analysis, multilevel modelling) are available for all students and staff, are arranged in TT.

Advanced training

Staff in the department contribute to Advanced Methods training co-ordinated through the Doctoral Training in the Social Sciences (DTSS) Methods hub. For example Dr Lars Malmberg provides a course on Structural Equation Modelling. Details of the DTSS methods hub can be found here.

Advice surgeries

Many MSc and DPhil students actively engage with QM in their dissertations, supported by their supervisors. We do offer drop-in advice surgeries for students, although resources are limited and referral should be made in conjunction with the dissertation supervisor. Contact Dr James Hall for further details.

Online resources

Weblearn is the repository for our course and module content and support. However there are public access resources that may also be of value. One example is the Statistical Regression Methods in Educational Research (SRME) website.

What is the SRME website?

  • The website was developed through an ESRC National Centre for Research Methods (NCRM) grant awarded to Professor Strand to support researchers in learning to use a class of statistical procedures called regression analyses. The web resource is designed for users to work through at their own pace.

Who is it for?

  • The resource site is not aimed at statisticians or those with high levels of experience in quantitative data analysis. This site is primarily designed for researchers in the social sciences who may have limited experience in quantitative research methods but wish to expand their expertise without drowning in a sea of abstract examples and formulae.

What is distinctive about the resource?

  • It roots regression analysis firmly within the context of ‘real’ research using throughout examples drawn from the Longitudinal Study of Young People in England (LSYPE). Though the examples focus on educational data, we anticipate the site will be useful to social scientists from a variety of backgrounds.
  • It implements all analyses using the Statistical Package for the Social Sciences (SPSS), by far the most popular statistical package used by social scientists today. Throughout it shows you step by step how you can put into practice what you learn about regression analyses.
  • Finally it employs a range of multi-media tools such as video demonstrations, interactive quizzes with feedback, an online glossary and plenty of worked examples and exercises to create a flexible learning tool.

If you are interested have a look at the website at www.restore.ac.uk/srme