New Approach to Evaluating Supplementary Homicide Report (SHR) Data Imputation, 1990-1995
Description
The purpose of the project was to learn more about patterns
of homicide in the United States by strengthening the ability to make
imputations for Supplementary Homicide Report (SHR) data with missing
values. Supplementary Homicide Reports (SHR) and local police data
from Chicago, Illinois, St. Louis, Missouri, Philadelphia,
Pennsylvania, and Phoenix, Arizona, for 1990 to 1995 were merged to
create a master file by linking on overlapping information on victim
and incident characteristics. Through this process, 96 percent of the
cases in the SHR were matched with cases in the police files. The data
contain variables for three types of cases: complete in SHR, missing
offender and incident information in SHR but known in police report,
and missing offender and incident information in both. The merged file
allows estimation of similarities and differences between the cases
with known offender characteristics in the SHR and those in the other
two categories. The accuracy of existing data imputation methods can
be assessed by comparing imputed values in an "incomplete" dataset
(the SHR), generated by the three imputation strategies discussed in
the literature, with the actual values in a known "complete" dataset
(combined SHR and police data). Variables from both the Supplemental
Homicide Reports and the additional police report offense data include
incident date, victim characteristics, offender characteristics,
incident details, geographic information, as well as variables
regarding the matching procedure.
Resources
| Name |
Format |
Description |
Link |
|
0 |
ICPSR20060.v1 |
https://doi.org/10.3886/ICPSR20060.v1 |
Tags
- uniform-crime-reports
- crime-reporting
- crime-statistics
- murder
- arrests
- victims
- homicide
- crime-rates
- offenders