Utility estimates of job performance as related to the Data, People, and Things parameters of work
✍ Scribed by Tae-Yong Yoo; Paul M. Muchinsky
- Publisher
- John Wiley and Sons
- Year
- 1998
- Tongue
- English
- Weight
- 206 KB
- Volume
- 19
- Category
- Article
- ISSN
- 0894-3796
No coin nor oath required. For personal study only.
✦ Synopsis
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-®ve 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 signi®cantly positively skewed distributions of dollarvalued 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.