A simulation of the impacts of machine learning to combine psychometric employee selection system predictors on performance prediction, adverse impact, and number of dropped predictors
R. Landers, Elena M. Auer, Lily Dunk, Markus Langer, Khue N. Tran
{"title":"A simulation of the impacts of machine learning to combine psychometric employee selection system predictors on performance prediction, adverse impact, and number of dropped predictors","authors":"R. Landers, Elena M. Auer, Lily Dunk, Markus Langer, Khue N. Tran","doi":"10.1111/peps.12587","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":48408,"journal":{"name":"Personnel Psychology","volume":null,"pages":null},"PeriodicalIF":4.7000,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Personnel Psychology","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1111/peps.12587","RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MANAGEMENT","Score":null,"Total":0}
期刊介绍:
Personnel Psychology publishes applied psychological research on personnel problems facing public and private sector organizations. Articles deal with all human resource topics, including job analysis and competency development, selection and recruitment, training and development, performance and career management, diversity, rewards and recognition, work attitudes and motivation, and leadership.