Handling attrition and non-response in longitudinal data with an application to a study of Australian youth
A standard concern with long term longitudinal studies is that of attrition over time. Together with initial non-response this typically leads to biased model estimates unless a suitable form of adjustment is carried out. The standard approach to this has been to compute weights based upon the propensity to respond and to drop out and then carry out weighted analyses to compensate for response bias. In the present paper [the authors] argue that this approach is statistically inefficient, because it drops incomplete data records, is inflexible, and in practice gives rise to undue complexity inv ... Show more
Authors: Cumming, Joy; Goldstein, Harvey
Published: London, England, Society for Longitudinal and Life Course Studies, 2016
Resource type: Article
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