Statistical judgment formation in personnel selection: a study in military aviation psychology.
This study addresses the issue of data combination in personnel selection. In a pilot study for the selection of trainee pilots for the German Luftwaffe, 99 applicants were assessed using a comprehensive battery of tests that measured inductive thinking, spatial thinking, attentiveness, visual and v...
| Publicado en: | Military Psychology Vol. 19; no. 2; pp. 119 - 137 |
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| Autores principales: | , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Apr2007
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=106152578&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106152578 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08995605 7MP jtl: Military Psychology issn: 08995605 maglogo: N pubinfo: dt: Apr2007 vid: 19 iid: 2 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 106152578 2009594750 10.1080/08995600701323418 106152578 ppf: 119 ppct: 18 formats: fmt: @attributes: type: P tig: atl: Statistical judgment formation in personnel selection: a study in military aviation psychology. aug: au: Arendasy M Sommer M Hergovich A affil: Faculty of Psychology, University of Vienna, Vienna, Austria sug: subj: Military Personnel Neural Networks (Computer) Personnel Selection Methods Pilots Adolescence Adult Aptitude Tests Coefficient alpha Discriminant Analysis Germany Male Pilot Studies Scales Sensitivity and Specificity Human Adolescent: 13-18 years Adult: 19-44 years Male ab: This study addresses the issue of data combination in personnel selection. In a pilot study for the selection of trainee pilots for the German Luftwaffe, 99 applicants were assessed using a comprehensive battery of tests that measured inductive thinking, spatial thinking, attentiveness, visual and verbal short-term memory, sensorimotor coordination, and reactive stress tolerance. The global evaluation of the applicants' performance in a flight simulator served as an external criterion. The predictive validity of this test battery was checked by carrying out a discriminant analysis as well as by calculating a neural network. The 2 methods were compared with regard to their classification rate, stability, and separation of correct and incorrect classifications. The results show that artificial neural networks are useful tools for improving the quality of selection procedures for trainee pilots. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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