
What is Quantitative Longitudinal Data Analysis?
Bloomsbury Academic (Publisher)
Published on 22. February 2018
Book
Paperback/Softback
168 pages
978-1-4725-1540-7 (ISBN)
Description
This book is available as open access through the Bloomsbury Open Access programme and is available on www.bloomsburycollections.com.
Across the social sciences, there is widespread agreement that quantitative longitudinal research designs offer analysts powerful scientific data resources. But, to date, many texts on analysing longitudinal social analysis surveys have been written from a statistical, rather than a social science data analysis perspective and they lack adequate coverage of common practical challenges associated with social science data analyses.
This book provides a practical and up-to-date introduction to influential approaches to quantitative longitudinal data analysis in the social sciences. The book introduces definitions and terms, explains the relative attractions of such a longitudinal design, and offers an introduction to the main techniques of analysis, explaining their requirements, statistical properties and their substantive contribution.
The book is designed for postgraduates and researchers across the social sciences considering the use of quantitative longitudinal data resources in their research. It will also be an excellent text for undergraduate and postgraduate courses on advanced quantitative methods.
Across the social sciences, there is widespread agreement that quantitative longitudinal research designs offer analysts powerful scientific data resources. But, to date, many texts on analysing longitudinal social analysis surveys have been written from a statistical, rather than a social science data analysis perspective and they lack adequate coverage of common practical challenges associated with social science data analyses.
This book provides a practical and up-to-date introduction to influential approaches to quantitative longitudinal data analysis in the social sciences. The book introduces definitions and terms, explains the relative attractions of such a longitudinal design, and offers an introduction to the main techniques of analysis, explaining their requirements, statistical properties and their substantive contribution.
The book is designed for postgraduates and researchers across the social sciences considering the use of quantitative longitudinal data resources in their research. It will also be an excellent text for undergraduate and postgraduate courses on advanced quantitative methods.
Reviews / Votes
An impressive text for anyone wishing to understand the value of longitudinal data for social science research questions and the analytical techniques and practical approaches required to make effective use of such data. The clear enthusiasm and expertise of the authors for the subject shines through the text, helping the reader navigate the complexities of different kinds of longitudinal data, possible research questions and techniques with ease. It is really clearly written in a very engaging manner with examples and code making it suitable for students and researchers new to longitudinal research as well more experienced analysts. * Michaela Benzeval, Professor of Longitudinal Research, University of Essex, UK, and Director of Understanding Society: The UK Household Longitudinal Study, UK *More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Bloomsbury Publishing PLC
Target group
College/higher education
Professional and scholarly
Weight
204 gr
ISBN-13
978-1-4725-1540-7 (9781472515407)
DOI
CBID177856
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Schweitzer Classification
Persons
Vernon Gayle is Professor of Sociology and Social Statistics at the University of Edinburgh, UK.
Paul Lambert is Professor of Sociology at the University of Stirling, UK.
Paul Lambert is Professor of Sociology at the University of Stirling, UK.
Author
University of Edinburgh, UK
University of Stirling, UK
Content
1. Introduction
2. Getting Started
3. Temporal Analysis with Cross-Sectional Data
4. Analysis of Data on Durations
5. Analysis of Repeated Contacts Data
6. Conclusion
Bibliography
Index
2. Getting Started
3. Temporal Analysis with Cross-Sectional Data
4. Analysis of Data on Durations
5. Analysis of Repeated Contacts Data
6. Conclusion
Bibliography
Index