Jeffrey M. Cucina , Scott K. Burtnick , Maria E. De la Flor Musso , Philip T. Walmsley , Kimberly J. Wilson
{"title":"Meta-analytic validity of cognitive ability for hands-on military job proficiency","authors":"Jeffrey M. Cucina , Scott K. Burtnick , Maria E. De la Flor Musso , Philip T. Walmsley , Kimberly J. Wilson","doi":"10.1016/j.intell.2024.101818","DOIUrl":null,"url":null,"abstract":"<div><p>A meta-analysis of the criterion-related validity of U.S. military enlistment cognitive ability tests was conducted using hands-on performance tests (HOPTs) as the criterion. In a HOPT, incumbents perform a representative sample of the tasks for a position and are evaluated by trained raters. We found operational validities in the .40s to .50s. Our meta-analytic database allowed us to investigate concerns regarding overcorrections (via use of multivariate corrections with credible applicant covariances) and provides a direct measure of job proficiency.</p></div>","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0160289624000126","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
A meta-analysis of the criterion-related validity of U.S. military enlistment cognitive ability tests was conducted using hands-on performance tests (HOPTs) as the criterion. In a HOPT, incumbents perform a representative sample of the tasks for a position and are evaluated by trained raters. We found operational validities in the .40s to .50s. Our meta-analytic database allowed us to investigate concerns regarding overcorrections (via use of multivariate corrections with credible applicant covariances) and provides a direct measure of job proficiency.