What is Quantitative Longitudinal Data Analysis?

Description

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. Title Page Copyright Page Contents List of figures List of tables Preface Series editor’s foreword Acknowledgements Chapter 1: Introduction to quantitative longitudinal data Introduction  Cross-sectional social surveys  Longitudinal social surveys with repeated contacts Modes of survey data collection  The Research value of repeated contacts quantitative longitudinal data Conclusions  Chapter 2: Quantitative longitudinal datasets Large-scale panel studies  The British Household Panel Survey  UK Household Longitudinal Study – Understanding society Cohort studies  The major British cohort studies  Other British birth cohort studies  Other longitudinal studies  Cross-national and comparative longitudinal studies Conclusions  Chapter 3: Temporal analysis with cross-sectional data Introduction  Comparing survey measures  An example of analysing pooled cross-sectional surveys Cross-national comparative research using repeated cross-sectional surveys Conclusions  Chapter 4: The analysis of duration data Introduction  Measuring durations  Duration models  Parametric duration models  Competing risk models  Discrete-time models  Conclusions  Chapter 5: The analysis of repeated contacts data Introduction  Approaches to analysing panel data: Part 1 Approaches to analysing panel data: Part 2 Comparing different panel models: Example 1 Comparing different panel models: Example 2 Comparing fixed effects panel models and random effects panel models Panel models for binary outcomes  Panel models with other outcomes  Dynamic panel models  Estimating random effects models in Stata Conclusions  Chapter 6: Adopting the long view: A review of analytical methods The main message  Using existing datasets  Statistical models for quantitative  longitudinal analyses Further methodological issues  Speculation on the future of longitudinal  social science datasets and other emerging resources Conclusions  Chapter 7: Getting started The workflow  Data enabling  Using Stata  Longitudinal data structures in Stata  Last words  Data citations  Bibliography Index