Chapter 14. Joint Treatment of Nonignorable Dropout and Informative Sampling for Longitudinal Survey Data

  1. Peter Lynn
  1. Abdulhakeem A. H. Eideh1,
  2. Gad Nathan2

Published Online: 20 FEB 2009

DOI: 10.1002/9780470743874.ch14

Book Title

Methodology of Longitudinal Surveys

Methodology of Longitudinal Surveys

Additional Information

How to Cite

Eideh, A. A. H. and Nathan, G. (2009) Joint Treatment of Nonignorable Dropout and Informative Sampling for Longitudinal Survey Data, in Methodology of Longitudinal Surveys (ed P. Lynn), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470743874.ch14

Editor Information

  1. Dept of Survey Methodology, Institute for Social and Economic Research, University of Essex, UK

Author Information

  1. 1

    Al-Quds University, Palestine, Israel

  2. 2

    Hebrew University of Jerusalem, Israel

Publication History

  1. Published Online: 20 FEB 2009
  2. Published Print: 23 JAN 2009

Book Series:

  1. Wiley Series in Survey Methodology

Book Series Editors:

  1. Robert M. Groves,
  2. Graham Kalton,
  3. J. N. K. Rao,
  4. Norbert Schwarz,
  5. Christopher Skinner

ISBN Information

Print ISBN: 9780470018712

Online ISBN: 9780470743874

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CHAPTER TOOLS

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Keywords:

  • generalized linear models (GLMs);
  • population model;
  • sampling design and sample distribution;
  • sample distribution under informative sampling and informative dropout;
  • completely random dropout (CRD);
  • random dropout (RD) and Informative dropout (ID);
  • sample likelihood and estimation;
  • empirical example - British labour force survey

Summary

This chapter contains sections titled:

  • Introduction

  • Population Model

  • Sampling Design and Sample Distribution

  • Sample Distribution Under Informative Sampling and Informative Dropout

  • Sample Likelihood and Estimation

  • Empirical Example: British Labour Force Survey

  • Conclusions

  • References

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