Teaching resources

Teaching resources spreadsheet

This spreadsheet contains a full list of our quantitative teaching resources. There are three types of resource, organised into three sheets:

• Teaching Ideas: Short guides to help make lesson planning more efficient. Guides include practical exercises students can do, using data available from the UK Data Service, to help them learn quantitative methods.
• Methods and Software Guides: Detailed guides providing information on a range of research methods and how to use software such as SPSS, STATA and R.
• Dataset Guides: Guides about using data from international organisations such as the IMF, OECD and World Bank.

Each resource listed in the spreadsheet contains a list of the substantive topics (e.g. ethnicity) and methods (e.g. regression) they cover, as well as the dataset they use. Direct links to each resource are also included.

Survey question bank

The Survey Question Bank (now part of the UK Data Service) produced a range of papers discussing the measurement of important topics and concepts, including Educational Attainment (PDF), Religiosity (PDF)  and Drug use (PDF).

It has also produced a range of factsheets discussing key aspects of survey research, which are useful for students learning about and planning their own surveys. Topics include Methods of data collection in social surveys (PDF), Likert Scales and Items (PDF), Evaluating Survey Questions (PDF) and Survey Interviewing.

For the full collection of Survey Bank resources search for ‘Survey Question Bank’ in Discover. 

Finding data

The video below shows the five main ways users can find data on the UK Data Service website. It could be used as an introductory session of a research methods course.

You can use the following guide to complement the video: Ways to get data from the UK Data Service.

Teaching with data video tutorial

View our video tutorial highlighting the various resources available for teaching.

Many of our other guides, while not explicitly designed for learning and teaching, can be readily used in teaching. These include:

• methods guides
• guides to software and online tools
• guides to datasets

This collection can be explored through Discover.