Criterion measures vary greatly in terms of their psychometric quality and ease of use. This paper serves two purposes. First, it provides a general summary of different approaches to criterion measurement in a military context. Second, it provides an extensive review of 16 specific types of criterion measurement methods (e.g., job performance rating scales, self-report questionnaires, job knowledge tests) on nine psychometric and ease-of-use evaluation factors. Eight criterion measurement experts read a summary of extant research and made ratings to evaluate each measurement method on the evaluation factors. Rater intra-class correlations (ICCs) were high, ranging from .75 to .95 across the evaluation dimensions with a median of .91. Data showed a quality-feasibility tradeoff, where criterion data that are easy to obtain often have technical flaws. Recommendations for military services and future directions in criterion measurement (e.g., applications of machine learning) are discussed.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10291913 | PMC |
http://dx.doi.org/10.1080/08995605.2022.2050165 | DOI Listing |
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