The secondary analysis of survey data (four-volume set)
The secondary analysis of survey data (four-volume set)
This collection brings together the key publications on the secondary analysis of data and embraces many aspects of how to analyse quantitative survey data, whether primary or secondary. As secondary analysis, defined as use of data that was collected by individuals other than the investigator, is often a starting point for other social science research methods, this set will be a critical resource for researchers across the social sciences.
Volume 1 introduces secondary analysis and explores the sources and types of survey data available, research design, causality and different approaches to analysis.
Volume 2 centres on exploring and describing data, measurement in surveys, inference and other issues that arise in data analysis.
Volume 3 concerns the general linear model, models for categorical data, classification and typology construction and latent variable models.
Volume 4 presents structural equation modelling, multilevel modelling and longitudinal analysis.
9781412903844
Bulmer, Martin
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Sturgis, Patrick J.
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Allum, Nick
849dfc6c-00ce-4383-bb5c-4d67985f5576
February 2009
Bulmer, Martin
d7a0f648-d19f-4cc5-ad50-11a93a4ceceb
Sturgis, Patrick J.
b9f6b40c-50d2-4117-805a-577b501d0b3c
Allum, Nick
849dfc6c-00ce-4383-bb5c-4d67985f5576
Bulmer, Martin, Sturgis, Patrick J. and Allum, Nick
(2009)
The secondary analysis of survey data (four-volume set)
,
London, UK.
SAGE Publications, 1664pp.
Abstract
This collection brings together the key publications on the secondary analysis of data and embraces many aspects of how to analyse quantitative survey data, whether primary or secondary. As secondary analysis, defined as use of data that was collected by individuals other than the investigator, is often a starting point for other social science research methods, this set will be a critical resource for researchers across the social sciences.
Volume 1 introduces secondary analysis and explores the sources and types of survey data available, research design, causality and different approaches to analysis.
Volume 2 centres on exploring and describing data, measurement in surveys, inference and other issues that arise in data analysis.
Volume 3 concerns the general linear model, models for categorical data, classification and typology construction and latent variable models.
Volume 4 presents structural equation modelling, multilevel modelling and longitudinal analysis.
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Published date: February 2009
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Local EPrints ID: 64633
URI: http://eprints.soton.ac.uk/id/eprint/64633
ISBN: 9781412903844
PURE UUID: c5ab6e18-e404-4ef2-889f-8282de98f250
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Date deposited: 27 Jan 2009
Last modified: 15 Mar 2024 12:00
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Author:
Martin Bulmer
Author:
Patrick J. Sturgis
Author:
Nick Allum
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