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SIMULATION‐BASED ASSESSMENT OF MANAGERIAL COMPETENCE: RELIABILITY AND VALIDITY
Author(s) -
STREUFERT SIEGFRIED,
POGASH ROSANNE,
PIASECKI MARY
Publication year - 1988
Publication title -
personnel psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.076
H-Index - 142
eISSN - 1744-6570
pISSN - 0031-5826
DOI - 10.1111/j.1744-6570.1988.tb00643.x
Subject(s) - psychology , competence (human resources) , reliability (semiconductor) , validity , measure (data warehouse) , applied psychology , reliability engineering , cognitive psychology , psychometrics , social psychology , computer science , data mining , developmental psychology , power (physics) , physics , quantum mechanics , engineering
Prior work based on complexity theory has attempted, with some success, to predict general and managerial performance in complex, uncertain, and fluid task settings. The present paper evaluates a quasi‐experimental simulation technique that was specifically designed to measure the impact of individual differences in a number of managerial styles (including a style reflecting cognitive complexity) on executive performance. Twenty simulation‐based measures were tested for reliability and validity. On the basis of the data obtained from two separate samples, it was concluded that this quasi‐experimental simulation technology may be useful for assessing a number of managerial styles that are not currently tapped by other measurement methods. Research results reported in this paper, as well as results obtained in other concurrent efforts, are summarized.