Non-random Study Attrition: Assessing Correction Techniques and the Magnitude of Bias in a Longitudinal Study of Reentry from Prison

Objectives Longitudinal data offer many advantages to criminological research yet suffer from attrition, namely in the form of sample selection bias. Attrition may undermine reaching valid inferences by introducing systematic differences between the retained and attrited samples. We explored (1) if...

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Bibliographic Details
Authors: Mitchell, Meghan M. (Author) ; Fahmy, Chantal (Author) ; Clark, Kendra J. (Author) ; Pyrooz, David C. (Author)
Format: Electronic Article
Language:English
Published: 2022
In: Journal of quantitative criminology
Year: 2022, Volume: 38, Issue: 3, Pages: 755-790
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Keywords:
Sample selection bias
Listwise deletion
Multiple imputation
Heckman correction
Attrition