Performance Utility and Optimal Job Assignment

Nord, Roy N.; White, Leonard A.

doi:10.21236/ada229106

Cited by 1 publication

(1 citation statement)

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“…Recent research has extended Brogden's model to explore its applicability when his assumptions cannot be upheld (Nord and White, 1988;Johnson and Zeidner, 1991;Zeidner and Johnson, 1991a, b). This extension is best represented in Johnson and Zeidner's formulation of differential assignment theory, which reiterates many of Brogden's principles.…”

Section: Differential Assignment Theory (Dat): Capitalizing On the Differential Efficiency Of Test Information Theoretical Backgroundmentioning

confidence: 99%

Classification techniques for person‐job matching

Zeidner

Scholarios

Johnson³

2001

Kybernetes

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This paper presents the case for personnel systems based on maximizing the differential information gathered about individual abilities and their match to jobs. In the context of assignment to multiple jobs, such systems are shown to be more effective than those based on the currently dominant paradigm of maximizing predictive validity. The latter paradigm favours the measurement of general cognitive ability over multiple specific aptitudes. Recent differential approaches use computer simulation modelling of alternative hypothetical systems to evaluate potential efficiency. The paper reviews the theoretical background on the structure of human abilities which has led to these contrasting approaches to personnel system design, and presents evidence, based on the US Army selection and classification system, in support of the alternative approach. Individual test/aptitude profiles improve the efficiency of personnel selection and classification as well as academic, vocational and career counselling. They also provide a broader, potentially fairer definition of talent than a unidimensional indicator of cognitive ability, and a foundation for the design of learning and decision environments around learner and user profiles.

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Section: Differential Assignment Theory (Dat): Capitalizing On the Differential Efficiency Of Test Information Theoretical Backgroundmentioning

confidence: 99%