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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

    as
    1. 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.
    2. Horton, Nicholas J. & Kleinman, Ken P., 2007. "Much Ado About Nothing: A Comparison of Missing Data Methods and Software to Fit Incomplete Data Regression Models," The American Statistician, American Statistical Association, vol. 61, pages 79-90, February.
    3. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    4. Patrick Royston, 2004. "Multiple imputation of missing values," Stata Journal, StataCorp LP, vol. 4(3), pages 227-241, September.
    5. Kleck, Gary & Tark, Jongyeon & Bellows, Jon J., 2006. "What methods are most frequently used in research in criminology and criminal justice?," Journal of Criminal Justice, Elsevier, vol. 34(2), pages 147-152.
    6. 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.
    7. Kleck, Gary & Tark, Jongyeon & Bellows, Jon J., 2006. "Erratum to "What methods are most frequently used in research in criminology and criminal justice?" [Journal of Criminal Justice 34(2) (2006) 147-152]," Journal of Criminal Justice, Elsevier, vol. 34(4), pages 453-452.
    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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