Open Access. Powered by Scholars. Published by Universities.®

Social and Behavioral Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Human Resources Management

Bowling Green State University

2022

Personnel Selection

Articles 1 - 2 of 2

Full-Text Articles in Social and Behavioral Sciences

Using Workplace Personality To Guide Improvement Of Law Enforcement Selection, Chase A. Winterberg, Michael A. Tapia, Bradley J. Brummel Nov 2022

Using Workplace Personality To Guide Improvement Of Law Enforcement Selection, Chase A. Winterberg, Michael A. Tapia, Bradley J. Brummel

Personnel Assessment and Decisions

Recurrent police-public conflict suggests misalignment in desired police behavior between police and the public. We explored differences in desired police characteristics between police and members of the American public. Although racial minorities endorsed more negative attitudes of police overall, we found no meaningful differences in desired police characteristics between police and the public or between racial minority and majority participants. Second, we combined multiple criterion-related validation studies in similar jobs via meta-analyses and synthetic validity analyses to identify personality predictors of police performance dimensions. Third, we assessed base rates and adverse impact of these personality characteristics in police. Incumbent officers …


Comparing Empirically Keyed And Random Forest Scoring Models In Biodata Assessments, Mathijs Affourtit, Kristin S. Allen, Craig M. Reddock, Paul M. Fursman Mar 2022

Comparing Empirically Keyed And Random Forest Scoring Models In Biodata Assessments, Mathijs Affourtit, Kristin S. Allen, Craig M. Reddock, Paul M. Fursman

Personnel Assessment and Decisions

Effective pre-hire assessments impact organizational outcomes. Recent developments in machine learning provide an opportunity for practitioners to improve upon existing scoring methods. This study compares the effectiveness of an empirically keyed scoring model with a machine learning, random forest model approach in a biodata assessment. Data was collected across two organizations. The data from the first sample (N=1,410), was used to train the model using sample sizes of 100, 300, 500, and 1,000 cases, whereas data from the second organization (N=524) was used as an external benchmark only. When using a random forest model, predictive validity …