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

Patrick Präg

No y9sv7, SocArXiv from Center for Open Science

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.

Date: 2018-10-04
New Economics Papers: this item is included in nep-cis
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Working Paper: Nonresponse to Items on Self-Reported Delinquency. A Review and Evaluation of Missing Data Techniques (2018)
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Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:y9sv7

DOI: 10.31219/osf.io/y9sv7

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