VARSEL: Variable Selection for Multiple-Purpose Prediction Systems in the Absence of External Criteria.
Interim rept. 1 Jan 74-31 Jul 75,
AIR FORCE HUMAN RESOURCES LAB BROOKS AFB TEX
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The absence of suitable external criteria for aptitude tests is a recurrent problem for test, battery, and inventory developers in selecting items or tests for inclusion in final operational instruments. This report presents a computing algorithm developed for use when no adequate external selection criterion is available. The algorithm uses a multiple linear regression technique and an accretion variable selection process to start with a large pool of variables and select a minimum subset which can account for the domain of reliable variance measured by all variables in the pool. Two example applications are presented a selection of a subset of tests from a battery of 56 tests and b selection of a subset of job attitude items from a pool of 348 items.
- Personnel Management and Labor Relations