The development of delinquency during adolescence: a comparison of missing data techniques

Jost Reinecke () and Cornelia Weins ()

Quality & Quantity: International Journal of Methodology, 2013, vol. 47, issue 6, 3319-3334

Abstract: Conclusions on the development of delinquent behaviour during the life-course can only be made with longitudinal data, which is regularly gained by repeated interviews of the same respondents. Missing data are a problem for the analysis of delinquent behaviour during the life-course shown with data from an adolescents’ four-wave panel. In this article two alternative techniques to cope with missing data are used: full information maximum likelihood estimation and multiple imputation. Both methods allow one to consider all available data (including adolescents with missing information on some variables) in order to estimate the development of delinquency. We demonstrate that self-reported delinquency is systematically underestimated with listwise deletion (LD) of missing data. Further, LD results in false conclusions on gender and school specific differences of the age–crime relationship. In the final discussion some hints are given for further methods to deal with bias in panel data affected by the missing process. Copyright Springer Science+Business Media B.V. 2013

Keywords: Full information maximum likelihood estimation; Multiple imputation; Growth curve models; Development of delinquency; Age–crime relationship (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:spr:qualqt:v:47:y:2013:i:6:p:3319-3334

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DOI: 10.1007/s11135-012-9721-4

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