Methodology of Longitudinal Surveys

Informationen zum Autor Peter Lynn is Professor of Survey Methodology at the Institute for Social and Economic Research, University of Essex. He is responsible for the methodological research programme of the UK Longitudinal Studies Centre and the UK Household Longitudinal Study and has over 20 years of experience in the field of survey methodology. Klappentext Longitudinal surveys are surveys that involve collecting data from multiple subjects on multiple occasions. They are typically used for collecting data relating to social, economic, educational and health-related issues and they serve as an important tool for economists, sociologists, and other researchers.Focusing on the design, implementation and analysis of longitudinal surveys, Methodology of Longitudinal Surveys discusses the current state of the art in carrying out these surveys. The book also covers issues that arise in surveys that collect longitudinal data via retrospective methods. Aimed at researchers and practitioners analyzing data from statistical surveys the book will also be suitable as supplementary reading for graduate students of survey statistics.This book:* Covers all the main stages in the design, implementation and analysis of longitudinal surveys.* Reviews recent developments in the field, including the use of dependent interviewing and mixed mode data collection.* Discusses the state of the art in sampling, weighting and non response adjustment.* Features worked examples throughout using real data.* Addresses issues arising from the collection of data via retrospective methods, as well as ethical issues, confidentiality and non-response bias.* Is written by an international team of contributors consisting of some of the most respected Survey Methodology experts in the field Zusammenfassung Longitudinal surveys are surveys that involve collecting data from multiple subjects on multiple occasions. They are typically used for collecting data relating to social, economic, educational and health-related issues and they serve as an important tool for economists, sociologists, and other researchers.Focusing on the design, implementation and analysis of longitudinal surveys, Methodology of Longitudinal Surveys discusses the current state of the art in carrying out these surveys. The book also covers issues that arise in surveys that collect longitudinal data via retrospective methods. Aimed at researchers and practitioners analyzing data from statistical surveys the book will also be suitable as supplementary reading for graduate students of survey statistics.This book:* Covers all the main stages in the design, implementation and analysis of longitudinal surveys.* Reviews recent developments in the field, including the use of dependent interviewing and mixed mode data collection.* Discusses the state of the art in sampling, weighting and non response adjustment.* Features worked examples throughout using real data.* Addresses issues arising from the collection of data via retrospective methods, as well as ethical issues, confidentiality and non-response bias.* Is written by an international team of contributors consisting of some of the most respected Survey Methodology experts in the field Inhaltsverzeichnis Preface. 1. Methods for Longitudinal Surveys (Peter Lynn). 1.1 Introduction,. 1.2 Types of Longitudinal Surveys,. 1.3 Strengths of Longitudinal Surveys. 1.4 Weaknesses of Longitudinal Surveys. 1.5 Design Features Specific to Longitudinal Surveys. 1.6 Quality in Longitudinal Surveys. 1.7 Conclusions. References. 2. Sample Design for Longitudinal Surveys (Paul Smith, Peter Lynn and Dave Elliot). 2.1 Introduction. 2.2 Types of Longitudinal Sample Design. 2.3 Fundamental Aspects of Sample Design. 2.4 Other Aspects of Design and Implementation. 2.5 Conclusion. References.

List of contents

Preface.
 
1. Methods for Longitudinal Surveys (Peter Lynn).
 
References.
 
2. Sample Design for Longitudinal Surveys (Paul Smith, Peter Lynn and Dave Elliot).
 
References.
 
3. Ethical Issues in Longitudinal Surveys (Carli Lessof).
 
Acknowledgements.
 
References.
 
4. Enhancing Longitudinal Surveys by Linking to Administrative Data (Lisa Calderwood and Carli Lessof).
 
References.
 
5. Tackling Seam Bias Through Questionnaire Design (Jeffrey Moore, Nancy Bates, Joanne Pascale and Aniekan Okon).
 
References.
 
6. Dependent Interviewing: A Framework and Application.
 
to Current Research (Annette Jäckle).
 
References.
 
7. Attitudes Over Time: The Psychology of Panel Conditioning (Patrick Sturgis, Nick Allum and Ian Brunton-Smith).
 
References.
 
8. Some Consequences of Survey Mode Changes in Longitudinal Surveys (Don A. Dillman).
 
References.
 
9. Using Auxiliary Data for Adjustment in Longitudinal Research (Dirk Sikkel, Joop Hox and Edith de Leeuw).
 
References.
 
10. Identifying Factors Affecting Longitudinal Survey Response (Nicole Watson and Mark Wooden).
 
References.
 
11. Keeping in Contact with Mobile Sample Members (Mick P. Couper and Mary Beth Ofstedal).
 
References.
 
12. The Use of Respondent Incentives on Longitudinal Surveys (Heather Laurie and Peter Lynn).
 
Acknowledgements.
 
References.
 
13. Attrition in Consumer Panels (Robert D. Tortora).
 
References.
 
14. Joint Treatment of Nonignorable Dropout and Informative Sampling.
 
for Longitudinal Survey Data (Abdulhakeem A. H. Eideh and Gad Nathan).
 
References.
 
15. Weighting and Calibration for Household Panels (Ulrich Rendtel and Torsten Harms).
 
References.
 
16. Statistical Modelling for Structured Longitudinal Designs (Ian Plewis).
 
References.
 
17. Using Longitudinal Surveys to Evaluate Interventions (Andrea Piesse, David Judkins and Graham Kalton).
 
References.
 
18. Robust Likelihood-Based Analysis of Longitudinal Survey Data with Missing Values (Roderick Little and Guangyu Zhang).
 
Acknowledgements.
 
References.
 
19. Assessing the Temporal Association of Events Using Longitudinal Complex Survey Data (Norberto Pantoja-Galicia, Mary E. Thompson and Milorad).
 
S. Kovacevic.
 
References.
 
20. Using Marginal Mean Models for Data from Longitudinal Surveys with a Complex Design: Some Advances in Methods (Georgia Roberts, Qunshu Ren and J.N.K. Rao).
 
References.
 
21. A Latent Class Approach for Estimating Gross Flows in the Presence of Correlated Classification Errors (Francesca Bassi and Ugo Trivellato).
 
References.
 
22. A Comparison of Graphical Models and Structural Equation Models.
 
for the Analysis of Longitudinal Survey Data )Peter W. F. Smith, Ann Berrington and Patrick Sturgis).
 
References.
 
Index.

Report

"This text is a ''must'' on the bookshelves of those of us who are engaged day to day in designing, conducting, or analyzing longitudinal survey data." ( Public Opinion Quarterly , 14 February 2012)

Product details

• Authors: P Lynn, Peter Lynn, Peter (Institute for Social and Economic Res Lynn, Lynn Peter
• Assisted by: Pete Lynn (Editor), Peter Lynn (Editor), Lynn Peter (Editor)
• Publisher: Wiley, John and Sons Ltd
• Languages: English
• Product format: Hardback
• Released: 23.01.2009
• EAN: 9780470018712
• ISBN: 978-0-470-01871-2
• No. of pages: 416
• Series: Wiley Series in Survey Methodology; Wiley Series in Survey Methodo; Wiley Series in Survey Methodology; Wiley Survey Methodology
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Social sciences, law, business > Sociology; Statistik, Statistics, Datenerhebung, Longitudinal Analysis, Methoden der Daten- u. Stichprobenerhebung, Survey Research Methods & Sampling, Longitudinalanalyse