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Nonresponse to Items on Self-Reported Delinquency. A Review and Evaluation of Missing Data Techniques

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  • Präg, Patrick

Abstract

The present study focuses on the application of missing data techniques in self-reported delinquency research. Although missing observations are at least as common in research on crime and delinquency as in any other social science, little systematic research has been conducted on the application of modern missing data techniques in research on delinquency. The present study provides a comprehensive and non-technical review of conventional and modern missing data techniques. It gives an introduction into problems of missing data and assess the performance and applicability of modern missing data techniques when used for solving missing data problems in crime research. In order to do so, a secondary data analysis of a SRD survey among high school students in Germany and Russia will be conducted. This is my master thesis, I can't really remember what the results were. The thesis was on-line for a long time and I think it only recently disappeared. Given that it was seemingly read quite often and sometimes even cited, I thought I should put it online again.

Suggested Citation

  • Präg, Patrick, 2018. "Nonresponse to Items on Self-Reported Delinquency. A Review and Evaluation of Missing Data Techniques," SocArXiv y9sv7, Center for Open Science.
  • Handle: RePEc:osf:socarx:y9sv7
    DOI: 10.31219/osf.io/y9sv7
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    References listed on IDEAS

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    4. Mark Huisman, 2000. "Imputation of Missing Item Responses: Some Simple Techniques," Quality & Quantity: International Journal of Methodology, Springer, vol. 34(4), pages 331-351, November.
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    7. von Hippel P.T., 2004. "Biases in SPSS 12.0 Missing Value Analysis," The American Statistician, American Statistical Association, vol. 58, pages 160-164, May.
    8. Rolf Becker, 2006. "Selective Response to Questions on Delinquency," Quality & Quantity: International Journal of Methodology, Springer, vol. 40(4), pages 483-498, August.
    9. King, Gary & Honaker, James & Joseph, Anne & Scheve, Kenneth, 2001. "Analyzing Incomplete Political Science Data: An Alternative Algorithm for Multiple Imputation," American Political Science Review, Cambridge University Press, vol. 95(1), pages 49-69, March.
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