The Prediction of Operator Performance on the Basis of Performance Tests and Biological Measures

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Abstract
Thirty-five female bench assembly operators were utilized as subjects to support the hypothesis that production performance can be better predicted from biological measures plus manipulative test performance scores than just manipulative test performance. The following measures were utilized: (1) For biological data; EMG, heart beat and sinus arrhythmia. (2) For test performance; the One-Hole test. (3) For criteria measure; production performance. For the hybrid model significant concurrent validities, using shrinkage statistics, of 0.61, 0.76, and 0.69 multiple correlations were obtained with 8, 20, and 30 variables respectively. Sinus arrhythmia at rest was the single most powerful predictor of production work performance with a -0.45 correlation coefficient.