Quantitative Longitudinal Data Analysis: Research Methods: Bloomsbury Research Methods
Autor Professor Vernon Gayle, Dr Paul Lamberten Limba Engleză Paperback – 23 dec 2020
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Specificații
ISBN-13: 9781350188853
ISBN-10: 1350188859
Pagini: 168
Dimensiuni: 138 x 216 x 19 mm
Greutate: 0.23 kg
Editura: Bloomsbury Publishing
Colecția Bloomsbury Academic
Seria Bloomsbury Research Methods
Locul publicării:London, United Kingdom
ISBN-10: 1350188859
Pagini: 168
Dimensiuni: 138 x 216 x 19 mm
Greutate: 0.23 kg
Editura: Bloomsbury Publishing
Colecția Bloomsbury Academic
Seria Bloomsbury Research Methods
Locul publicării:London, United Kingdom
Caracteristici
Ideal text for research methods students in political science, sociology, education, geography, health studies
Notă biografică
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.
Cuprins
Series Editor Foreword1. 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
Recenzii
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.
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.
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.