The SSH Training Discovery Toolkit provides an inventory of training materials relevant for the Social Sciences and Humanities.
Use the search bar to discover materials or browse through the collections. The filters will help you identify your area of interest.
|Questionnaire Design and Development Tool
The Questionnaire Design and Documentation Tool is intended to provide an interactive and dynamic web-based tool which can be used to both document and retrieve information on the complex process of designing a cross-national survey questionnaire. It should provide a more streamlined and user friendly replacement for the current paper-based word template used to document the European Social Survey’s questionnaire design process.
The QDDT is intended to improve the efficiency of the questionnaire design process. The tool will provide a means of managing the design process, tracking the development of question items over different stages of pre-testing and review and incorporating input from multiple stakeholders. The QDDT should also provide the basis for generating the final field ready questionnaire from the question items developed and recorded within the tool.
|Cross sectional and longitudinal survey data
This is an introductory guide to the main types of data with a time element. The guide is a brief overview of key elements in need of consideration when using these types of data. It also covers data availability and some commonly used methods for studying change over time quantitatively.
|What is complex sample design?
This guide covers the basics of sampling as well as other related topics such as clustering, stratification and weighting.
|What is weighting?
This guide explains the main reasons for using weights, how weights work and how to use weighting variables in statistical analysis.
|Using survey data
This guide aims to help researchers utilise extensive survey data available. In particular, this guide is designed to support those starting small research projects, especially students doing dissertations.
The guide includes materials to read, worksheets for getting started and questions to think about and answer.
|Mapping Census Microdata using R
This guide aims to show the strength of using Census Microdata for a variety of research purposes, via a worked example taken from real-life research. This guide assumes some familiarity with microdata, mapping and statistical software.
|Quantitative methods e-books
These quantitative methods e-books and accompanying quizzes are for direct use in teaching students or for self-study. They aim to build skills in quantitative methods and statistical software and use the Living Costs and Food Survey.
Using SPSS, lecturers and students can utilise both the practical and quiz elements of each e-book topic. Topics include examining variables, correlations, regression and multiple regression.
The e-books have been developed through a collaboration of the UK Data Service, National Centre for Research Methods (NCRM), and the Centre for Multi-Level Modelling at the University of Bristol and were created using the StatJR software based on original outputs from the project Using Statistical E-books to teach undergraduate students quantitative methods and statistical software funded by the British Academy.
|Linking external business data to ONS business data
The UK Data Service is able to assist researchers wishing to link external business data to ONS business data in the Secure Lab. This guide provides all the information needed to guide users wishing to link external business data to ONS business data.
|Secure Lab User Guide
This is a guide to the UKDS Secure Lab. Within this guide, users can find everything they need to know in order to access and use the highly detailed, sensitive data available via the UKDS SecureLab.
|UK Data Service: Survey and Census Data
This source includes a series of resources in the form of guides and e-books dedicated to trainers and students interested in sample design, weighting, changes over time using cross sectional and longitudinal data and mapping census data using different software.