Reconsidering Homicide Clearance Research: The Utility of Multifaceted Data Collection Approaches
This study explores issues associated with the data commonly used in homicide clearance research. Data collected from 2009 to 2011 case files (n = 252) were reviewed during interviews with investigators (n = 29). The multifaceted data collection approach produced a more comprehensive dataset than wa...
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Veröffentlicht in: | Homicide studies 2021-08, Vol.25 (3), p.195-219 |
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creator | Hawk, Shila René Dabney, Dean A. Teasdale, Brent |
description | This study explores issues associated with the data commonly used in homicide clearance research. Data collected from 2009 to 2011 case files (n = 252) were reviewed during interviews with investigators (n = 29). The multifaceted data collection approach produced a more comprehensive dataset than was available based solely upon case file reviews, with alterations to the data occurring in as many as 69% of the cases. The process advanced the precision of the data recorded, reduced missingness, and heightened detail on key variables. Significant differences were noted in multivariate analyses of the datasets when modeling clearances. Findings suggest contextualizing case file data is valuable. |
doi_str_mv | 10.1177/1088767920939617 |
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subjects | Criminal investigations Data collection Missing data Murders & murder attempts |
title | Reconsidering Homicide Clearance Research: The Utility of Multifaceted Data Collection Approaches |
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