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Quantitative Longitudinal Data Analysis : Research Methods

By: (Author) Dr Paul Lambert , (Author) Professor Vernon Gayle

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Ksh 10,800.00

Format: Hardback or Cased Book

ISBN-10: 1350188840

ISBN-13: 9781350188846

Series: Bloomsbury Research Methods

Publisher: Bloomsbury Publishing PLC

Imprint: Bloomsbury Academic

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Dec 24th, 2020

Print length: 168 Pages

Weight: 342 grams

Dimensions (height x width x thickness): 14.60 x 22.20 x 1.70 cms

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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.

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.


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