Army Synthetic Validity Project: Report of Phase 1 Results
Abstract
The two major objectives of the Army Synthetic Validity (SYNVAL) project are to identify and evaluate an optimal composite of selection measures for any Army enlisted MOS and estimate the validity of this composite for predicting job performance; and to develop and refine a procedure for setting a minimum qualifying scare to assure a reasonable probability of successful job performance, as well as other appropriate cutting scores for other critical selection decisions (e.g., for selecting recruits with potential for outstanding performance). Synthetic validation approaches typically begin with the identification of a set of job components that can be used to describe the population of jobs being studied. A prediction equation is derived for linking available selection tests to each component. Subject matter experts (SMEs) are asked to identify the importance of each component to overall job performance. Finally, the prediction equations for the various components are weighted according to the judgment weights and summed to obtain an equation for predicting overall performance for the job. The Synthetic Validity Project is charged with developing procedures for specifying minimum qualifying scores and other appropriate cut scores on the predictor composites identified for each job. Procedures will be developed for identifying job performance standards for each job. These performance standards will then be linked to scores on the predictor composite for that job. (SDW)
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 1989
- Accession Number
- ADA219926
Entities
People
- Jane M. Arabian
- Lauress L. Wise
- Philip L. Szenas
- Wei J. Chia
Organizations
- American Institutes for Research