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                            Library & Multimedia
 Prorating Method for Estimating MMPI-2-RF Scores From MMPI Responses: Examination of Score Fidelity and Illustration of Empirical Utility in the PERSEREC Police Integrity Study Sample
NCJ Number
              250041
Journal

*Assessment* Volume: 23 Issue: 2 Dated: March 2016 Pages: 173-190
Author(s)
          A. M. Tarescavage;
                        D. M. Corey;
                        Y. S. Ben-Porath
Date Published

March 2016
Length
              18 pages
Annotation
              The purpose of this study was to identify Minnesota Multiphasic Personality Inventory-2-Restructured Form (MMPI-2-RF) correlates of police officer integrity violations and other problem behaviors in an archival database with original MMPI item responses and collateral information regarding integrity violations obtained for 417 male officers.
Abstract
              In Study 1, the authors estimated MMPI-2-RF scores from the MMPI item pool (which includes approximately 80% of the MMPI-2-RF items) in a normative sample, a psychiatric inpatient sample, and a police officer sample, and conducted analyses that demonstrated the comparability of estimated and full scale scores for 41 of the 51 MMPI-2-RF scales. In Study 2, the authors correlated estimated MMPI-2-RF scores with information about subsequent integrity violations and problem behaviors from the integrity violation data set. Several meaningful associations were obtained, predominately with scales from the emotional, thought, and behavioral dysfunction domains of the MMPI-2-RF. Application of a correction for range restriction yielded substantially improved validity estimates. Finally, the authors calculated relative risk ratios for the statistically significant findings using cutoffs lower than 65T, which is traditionally used to identify clinically significant elevations, and found several meaningful relative risk ratios.
      
  
          Additional Details
Grant Number(s)
        96-IJ-CX-A056


  
  
        
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Date Published: March 1, 2016
    
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