Longitudinal Data Analysis for Social Science Researchers

About the resource:

Overview

Longitudinal data are important for many social science disciplines as such data facilitates the investigation of empirical research questions relating to social change and social stability. Such investigations are not possible with cross-sectional data. At the current time there is a shortage of social scientists with skills appropriate for longitudinal data analysis. In the UK there is an increasing number of large-scale quantitative longitudinal datasets, and currently most remain under-analysed.

The overarching aim of this resource was to provide practical illustrations of data management and data analysis techniques that are necessary to understand how to undertake quantitative longitudinal analysis of large scale secondary survey results. The archived materials include presentation slides and handouts; lab sessions (exercises with guides) from project workshops (see Archived Documents link).

Authors

• Professor Vernon Gaylerestore (PI), University of Stirling
• Professor David Bell (Co-investigator), University of Stirling
• Simon Booth, (Co-investigator),University of Stirling
• Professor Paul Boyle, University of St Andrews
• Professor Jochen Clasen, University of Edingburgh
• Professor John Field, University of Stirling
• Professor Robin Flowerdew, University of St Andrews
• Dr Paul Lambert, University of Stirling
• Professor Robert Wright, University of Strathclyde



Original Project

This was a collaborative project between the Universities of Stirling, St Andrews and Strathclyde, funded as part of the ESRC Researcher Development Initiative (RDI)




Classifications and related publications

• Longitudinal Research
• Quality in Quantitative Research
• Secondary Analysis
• Survey Data Analysis and Estimation



Dates

This resource was included in ReStore on 2011-05-25, updated on 2012-05-29 and archived on 2022-07-20




Terms of Use

The material contained within the site may be used for non-commercial, educational purposes and users may access the materials and electronically save or print out single copies of the whole or any part or parts of the materials for these purposes. It may be used in the preparation of educational assignments, portfolios or dissertations, or incorporated in printed or electronic formats into non-commercial training activities and courses of study. Where the material is used in this way, appropriate acknowledgement of the source must be included in accordance with the citation policy. Permission must be sought for any other publication, reproduction, broadcasting, rewriting, or redistribution of the material contained in the site. It may not be used for any commercial or non-educational purpose or reproduced in any format which is to be marketed and published and in which revenue is received as a result. Links to this website and to pages within it can be made without permission or notification, but any links must be made direct to the site and the contents may not be posted or in any way mirrored on the World Wide Web without permission. Links should be made in such a way that the material is presented in its original style and layout and does not appear to be part of any other website. Every reasonable care has been taken to ensure that this website does not infringe copyright law. If you believe that any information contained within the site may infringe the copyright of another individual or organisation, please inform us of this via the 'contact us' page.