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Utility estimates of job performance as related to the Data, People, and Things parameters of work
Author(s) -
Yoo TaeYong,
Muchinsky Paul M.
Publication year - 1998
Publication title -
journal of organizational behavior
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.938
H-Index - 177
eISSN - 1099-1379
pISSN - 0894-3796
DOI - 10.1002/(sici)1099-1379(199807)19:4<353::aid-job849>3.0.co;2-1
Subject(s) - variance (accounting) , perspective (graphical) , liberian dollar , reliability (semiconductor) , work (physics) , estimation , function (biology) , econometrics , range (aeronautics) , psychology , statistics , actuarial science , computer science , economics , mathematics , management , artificial intelligence , engineering , mechanical engineering , power (physics) , physics , accounting , finance , quantum mechanics , evolutionary biology , biology , aerospace engineering
The purpose of this study was to investigate the applicability of the Schmidt–Hunter global estimation method of assessing utility across a broad range of jobs. Ninety‐five industrial/organizational psychologists estimated the utility of performance in 24 carefully selected jobs. The utility estimates were compared to the Data, People, and Things worker function parameters from the Dictionary of Occupational Titles . The majority of jobs (62.5 per cent) produced significantly positively skewed distributions of dollar‐valued job performance. The Data, People, and Things parameters accounted for 46 per cent of the variance in the non‐symmetry of the utility distributions and 33 per cent of the variance in the inter‐rater reliability of the utility estimates. The implications of the results were discussed for utility assessment, and explained from a decision theoretic perspective. © 1998 John Wiley & Sons, Ltd.