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Viewing Expert Judgment in Individual Assessments Through the Lens Model: Testing the Limits of Expert Information Processing

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서명/저자사항Viewing Expert Judgment in Individual Assessments Through the Lens Model: Testing the Limits of Expert Information Processing.
개인저자Yu, Martin C.
단체저자명University of Minnesota. Psychology.
발행사항[S.l.]: University of Minnesota., 2018.
발행사항Ann Arbor: ProQuest Dissertations & Theses, 2018.
형태사항124 p.
기본자료 저록Dissertation Abstracts International 79-12B(E).
Dissertation Abstract International
ISBN9780438168527
학위논문주기Thesis (Ph.D.)--University of Minnesota, 2018.
일반주기 Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Nathan R. Kuncel.
요약The predictive validity of any assessment system is only as good as its implementation. Across a range of decision settings, algorithmic methods of data combination often match or outperform the judgmental accuracy of expert judges. Despite this
요약Based on archival assessment data from an international management consulting firm, this dissertation presents three related studies with an overarching goal of better understanding the processes underlying why expert judgment tends to be less a
요약Taken together, these results suggest that the suboptimal and inconsistent ways that expert assessors combine assessment information is drastically hampering their ability to make accurate evaluations of assessment candidates and to predict cand
일반주제명Psychology.
Occupational psychology.
Organizational behavior.
언어영어
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