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

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  • Jost Reinecke
  • Cornelia Weins

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

Suggested Citation

  • Jost Reinecke & Cornelia Weins, 2013. "The development of delinquency during adolescence: a comparison of missing data techniques," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(6), pages 3319-3334, October.
    • Handle: RePEc:spr:qualqt:v:47:y:2013:i:6:p:3319-3334
    DOI: 10.1007/s11135-012-9721-4
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    References listed on IDEAS

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    1. Bengt Muthén & David Kaplan & Michael Hollis, 1987. "On structural equation modeling with data that are not missing completely at random," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 431-462, September.
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    Cited by:

    1. Antonio Zinilli, 2021. "Imputation methods for estimating public R&D funding: evidence from longitudinal data," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(2), pages 707-729, April.
    2. Christina Bentrup, 2020. "The dual trajectory approach: detecting developmental behavioural overlaps in longitudinal and intergenerational research," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(1), pages 43-65, February.
    3. Kristian Kleinke & Jost Reinecke & Cornelia Weins, 2021. "The development of delinquency during adolescence: a comparison of missing data techniques revisited," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(3), pages 877-895, June.

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