What is Quantitative Longitudinal Data Analysis

Datos Bibliográficos

ID19904091
AutoresVernon Gayle (0000-0002-1929-5983), Paul Lambert (0000-0002-2815-1674), Paul C Lambert (0000-0002-5337-663X)
Año2018
Fecha de publicación2018-01-01
Open AccessSí
TipoBOOK
RevistaWhat is Quantitative Longitudinal Data Analysis (SOURCE_BOOK)
EditorialBloomsbury Publishing plc (PUBLISHER • GB)
DOI10.5040/9781472545268
OpenAlexW2917619907
ISBN9781472545268
IdiomaEN
Citas recibidas7

Across the social sciences, there is widespread agreement that quantitative longitudinal research designs offer analysts powerful scientific data resources. But, to date, most 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 provides an accessible 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

Data mining · Data science · Longitudinal data · Computational and Text Analysis Methods · Computer Science · Artificial Intelligence