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Predicting Police Officer Training Performance: Combining Cognitive and Non‐Cognitive Measures Using Incremental Validity and Relative Importance Analysis

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International Journal of Selection and Assessment

Published online on

Abstract

["International Journal of Selection and Assessment, Volume 34, Issue 2, May 2026. ", "\nABSTRACT\nGeneral mental ability (GMA) is an important predictor of training performance. This makes GMA highly relevant when selecting applicants for vocational training. However, the value of specific cognitive abilities among other indicators of knowledge, skills, abilities, and other characteristics (KSAOs) alongside GMA in predicting training performance is currently being debated. This study aims to contribute to this debate. Results from two methods are compared, incremental validity analysis and relative importance analysis, using two types of training performance outcomes: academic and scenario‐based. The analyses were performed using a dataset of German police officer candidates (N = 1218), which encompassed data from the applications process, GMA, specific cognitive abilities, and non‐cognitive KSAOs (including a situational judgment test, SJT, and physical tests and a structured interview), as well as performance data from several examinations over the course of a 3‐year training program. Findings from both analyses show that GMA and verbal specific cognitive abilities are good predictors of academic training performance. However, findings also show that other KSAO indicators, such as an SJT, physical tests, and a structured interview, outperformed the cognitive measures in predicting scenario‐based training performance. Together, the findings add nuance to the current debate on the value of cognitive abilities and non‐cognitive KSAOs for the prediction of training performance."]