Using Task Inventories to Forecast Skills and Abilities

Richard D. Arvey, Eduardo Salas, Kathleen A. Gialluca

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

Several types of job-analysis inventories or instruments are examined in terms of their utility for skill forecasting. It is argued that task and skill-ability job-analytic information may be useful when task information is used to make inferences concerning which skills-abilities will be necessary in future jobs. An illustration is presented in which a task and ability oriented job-analysis inventory was completed by 371 incumbents in nine skilled-trades occupations to form a matrix of intercorrelations between specific task and skill-ability characteristics. Multiple regression methods were subsequently applied given assumptions of different numbers of tasks being hypothetically available to decision makers to predict which skills-abilities would be necessary in some future job. The decision outcomes formed from using these regression equations were cross validated with an additional 248 incumbents. Results indicated that such forecasting predictions can represent useful information to decision makers. Discussion centers on the implications and limitations of this forecasting procedure.

Original languageEnglish (US)
Pages (from-to)171-190
Number of pages20
JournalHuman Performance
Volume5
Issue number3
DOIs
StatePublished - Sep 1 1992

Bibliographical note

Funding Information:
The opinions expressed are those of the authors and do not reflect the official policies of the institutions with which they are affiliated. Support was provided in part by an IBM Management Information System Project to the Carlson School of Management, University of Minnesota by IBM. We thank Dr. Norm Peterson for his help with the data base.

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