What is Quantitative Longitudinal Data Analysis?

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.

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What is Quantitative Longitudinal Data Analysis?

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.

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What is Quantitative Longitudinal Data Analysis?

What is Quantitative Longitudinal Data Analysis?

What is Quantitative Longitudinal Data Analysis?

What is Quantitative Longitudinal Data Analysis?

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Overview

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.


Product Details

ISBN-13: 9781472515391
Publisher: Bloomsbury Academic
Publication date: 02/22/2018
Series: 'What is?' Research Methods Series
Pages: 168
Product dimensions: 6.50(w) x 1.50(h) x 9.50(d)

About the Author

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.

Table of Contents

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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