SCALING PERFORMANCE UTILITY TO ENHANCE SELECTION/CLASSIFICATION DECISIONS

Autor: Robert Sadacca, Leonard A. White, Anis. Difazio, John P. Campbell, Sheila R. Schultz
Rok vydání: 1990
Předmět:
Zdroj: Personnel Psychology. 43:367-378
ISSN: 1744-6570
0031-5826
DOI: 10.1111/j.1744-6570.1990.tb01564.x
Popis: For purposes of selection and classification there are two general reasons for scaling the mean and variance of the utility of performance across jobs. First, if differential utility across jobs does exist, then the payoff from a selection and classification system will be enhanced to the extent that accurate utility values are incorporated in the assignment system. Second, a valid utility metric would permit a more meaningful comparison of the gains achieved by alternative selection and classification procedures. It is argued in this paper that the Army context, and perhaps others, precludes using the dollar metric and estimates of SDy in dollars. Consequently, Project A conducted a relatively long series of exploratory workshops with Army personnel to (a) define the utility issue, (b) pilot test a wide variety of possible scaling methods, and (c) evaluate the methods that seemed most appropriate. On the basis of exploratory analysis, a combined procedure incorporating both an interval estimation and a ratio estimation method was used to estimate the utility of five different performance levels for each of 276 jobs (MOS) in the enlisted personnel system. The psychometric properties of the resulting scale values are analyzed and discussed.
Databáze: OpenAIRE
Externí odkaz:
Nepřihlášeným uživatelům se plný text nezobrazuje