Investigating Crime



Learning Modules
        Module 1
        Module 2
        Module 3
        Module 4
        Module 5
        Module 6


Tutor Resources

Key Skills

Accessing Databases (NSDstat)

Accessing Databases (Other)



The outputs from the project are a variety of free teaching and learning resources relating to social science and statistics. The materials are based on learning strategies that encourage the teaching of research methods within a substantive context.

These pre-prepared materials can save teachers considerable time and effort, and also offer ideas of how to utilise data sources data in their own teaching.

Teaching and learning modules

The teaching and learning modules are designed to be used as part of standard classroom teaching or as additional/self-paced learning activities.

The modules are available in a variety of formats:

X4L SDiT will contribute to the planned JISC repository of teaching and learning materials.

Databases for teaching

A cut-down version of the Home Office-funded British Crime Survey 2000 data has been produced for use in the classroom and is freely available to students and teachers.

Students can investigate issues and methods using ‘live’ data. Teaching datasets for other UK surveys are also available from the UK Data Archive (UKDA).

Data access

via the UKDA web site using Nesstar

Nesstar is freely accessed on the internet. The data can be explored directly online using very simple point-and-click procedures or the dataset can be downloaded from the site and imported into other software, such as Excel or SPSS.

by using free data analysis software

For this project a free demonstration version of NSDstat has been provided. This is a very easy Windows-based program that enables students to examine the British Crime Survey data for themselves, and produce their own tables and graphs. The software is downloadable from the X4L web site. NSDstat has been developed for schools and colleges by the Norwegian Data Service, and is the analytical engine for Nesstar.