Vernon Gayle – författare

Research into social stratification and social divisions has always been a central component of sociological study. This volume brings together a range of thematically organised case-studies comprising empirical and methodological analyses addressing the challenges of studying trends and processes in social stratification. This collection has four themes. The first concerns the measurement of social stratification, since the problem of relating concepts, measurements and operationalizations continues to cause difficulties for sociological analysis. This book clarifies the appropriate deployment of existing measurement options, and presents new empirical strategies of measurement and interpretation. The conception of the life course and individual social biography is very popular in modern sociology. The second theme of this volume exploits the contemporary expansion of micro-level longitudinal data and the analytical approaches available to researchers to exploit such records. It comprises chapters which exemplify innovative empirical analysis of life-course processes in a longitudinal context, thus offering an advance on previous sociological accounts concerned with longitudinal trends and processes. The third theme of the book concerns the interrelationship between contemporary demographic, institutional and socioeconomic transformations and structures of social inequality. Although the role of wider social changes is rarely neglected in sociological reviews, such changes continue to raise analytical challenges for any assessment of empirical differences and trends. The fourth theme of the book discusses selected features of policy and political responses to social stratification. This volume will be of interest to students, academics and policy experts working in the field of social stratification.

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.