What is quantitative longitudinal data analysis? / Vernon Gayle and Paul Lambert.
Material type:
TextSeries: The 'What is?' research methods series ; 11Publisher: London ; New York : Bloomsbury Academic, 2017Description: xiv, 151 p. ; 22 cmISBN: 9781472515407 (pbk.)Subject(s): Social sciences -- Statistical methods | Social sciences -- Longitudinal studies | Longitudinal methodDDC classification: 001.42 GAY Summary: "Across the social sciences, there is widespread agreement that quantitative longitudinal research designs offer analysts powerful scientific data resources. But, to date, most texts on social survey analysis have been written from a statistical, rather than a social science data analysis perspective and they lack adequate coverage of common practical challenges. This book aims to provide a practical and up-to-date introduction to influential approaches to quantitative longitudinal data analysis in the social sciences. The book will discuss definitions and terms, explain the relative attractions of such a design and enumerate in an accessible way 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."--Bloomsbury Publishing
| Item type | Current library | Call number | Copy number | Status | Date due | Barcode |
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Book
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Teaching & Research Resource Centre - 3 - Social Sciences | 001.42 GAY (Browse shelf(Opens below)) | 1 | Available | M-77739 |
Includes bibliographical references and index.
"Across the social sciences, there is widespread agreement that quantitative longitudinal research designs offer analysts powerful scientific data resources. But, to date, most texts on social survey analysis have been written from a statistical, rather than a social science data analysis perspective and they lack adequate coverage of common practical challenges. This book aims to provide a practical and up-to-date introduction to influential approaches to quantitative longitudinal data analysis in the social sciences. The book will discuss definitions and terms, explain the relative attractions of such a design and enumerate in an accessible way 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."--Bloomsbury Publishing
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