Fr. 34.50

Quantitative Longitudinal Data Analysis - Research Methods

English · Paperback / Softback

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Zusatztext Just as the authors intended, reading this book whetted my appetite for the rich portfolio of quantitative longitudinal data available in the UK ... Strong referencing and bibliography enable the reader to look further into influential approaches. Informationen zum Autor 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 Klappentext First published Open Access under a Creative Commons license as What is Quantitative Longitudinal Data Analysis? , this title is now also available as part of the Bloomsbury Research Methods series.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. Vorwort An introduction and up-to-date overview of influential approaches to quantitative longitudinal data analysis in the social sciences. Zusammenfassung First published Open Access under a Creative Commons license as What is Quantitative Longitudinal Data Analysis? , this title is now also available as part of the Bloomsbury Research Methods series. 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. Inhaltsverzeichnis Series Editor Foreword 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 ...

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