Handling attrition and non-response in longitudinal data

Authors

  • Harvey Goldstein

DOI:

https://doi.org/10.14301/llcs.v1i1.21

Keywords:

Longitudinal Research, Methodology, Multi-Level

Abstract

Procedures for handling attrition and missing data in longitudinal studies are discussed. A multiple imputation (MI) strategy is developed that can be applied to complex multilevel data. It is both general and statistically efficient and estimation software is available. An example of its use is given.

Author Biography

Harvey Goldstein

Professor of Social Statistics

Graduate School of Education

University of Bristol

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Issue

Vol. 1 No. 1 (2009): Longitudinal and Life Course Studies

Section

Papers

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