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                            Funding & Awards
 Multiple Imputation for the Supplementary Homicide Reports: Evaluation in Unique Test Data
Award Information
Awardee
              Bd of Regents of the Univ of WI System for Univ of WI - Milw
Award #
              2013-R2-CX-0038
Funding Category
              Competitive
Location
                    Milwaukee, WI
Congressional District
              4
Status
              Closed
Funding First Awarded
              2013
Total funding (to date)
              $37,795
Original Solicitation
              NIJ FY 13 Data Resources Program: Funding for Analysis of Existing Data
Description of original award (Fiscal Year 2013, $37,795)
The purpose of this research is to advance methods addressing missing data by evaluating multiple imputation strategies. Multiple imputation (analyzing multiple, varying completed data sets) provides a means of evaluating missing data strategies by comparing imputed and actual data in various ways. This project will multiply impute values for missing data and compare results to known actual values in homicide incident reports using secondary data from Wadsworth and Roberts (2007) test population which includes five years of homicide incidents from Chicago, Philadelphia, Phoenix, and St. Louis. Analyses will use multiple imputation routines available in general and specific software (particularly SAS and IVEWARE) to compare imputed and actual distributions of victim-offender relationship, substantive models for relationships of criminological interest, and the impact of technical choices (e.g. particular multiple imputation methods, number of imputations used).
ca/nfc



  
Grant-Funded Publications
        
                      Multiple Imputation for Missing Values in Homicide Incident Data: An Evaluation Using Unique Test Data

  
Date Created: September 8, 2013
    
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