Missing Data in Homicide Research  

Oleh:

Riedel, Marc ; Regoeczi, Wendy C.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Homicide Studies vol. 8 no. 3 (Aug. 2004), page 163-192.
Topik: missing data; ad-hoc procedures; weighting; imputation; expectation-maximization; listwise deletion; pairwise deletion; legal decisions; merging data sets; hot-deck imputation; MAR; MCAR
Fulltext: 163HS83.pdf (137.28KB)

Isi artikel

This article is an introduction to the special issue of Homicide Studies on missing data. The first section is an overview of the status of missing data approaches in homicide research. It begins by describing the importance of missing data estimation in homicide. This is followed by a discussion of missing data mechanisms, complete case analysis, imputation and weighting, and model-based procedures. The second section is a brief description of each of the articles in this issue. The conclusion describes the myth associated with imputing missing data, the use of missing data approaches in public records, the Supreme Court case that found hot-deck imputation acceptable for the census, and guidelines for handling missing data published by the American Psychological Association. This section concludes by describing the kinds of research that need to be done.

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