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I__. - International Military Testing Association

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Table 6 presents the results of the Point Bi-Serial<br />

Correlations (dichotomous to continuous variables) for the<br />

data processing subrating. Note, again, that Item #61 and<br />

Item #75 each have two response foils that reach statistical<br />

significance. As a result, the 12 Biodata Factors that<br />

validated for data processing, contain 20 statistically<br />

significant validity coefficients.<br />

DISCUSSION<br />

The data from the present study, while based on relatively<br />

small samples and still needing cross-validation, suggest -.<br />

optimism. Among radar persons, 15 validity coefficients<br />

reached levels of statistical significance across 9 Biodata<br />

Factors. Among data processing people, 20 validity<br />

coefficients reached statistically significant levels.<br />

Moreover, the size of the coefficients are consistent with<br />

those reported in the literature for job proficiency in<br />

relation to biodata predictors (Mumford C Owens, 1987). In<br />

fact, the correlations are larger than those reported for<br />

other uses of biodata to predict military proficiency where<br />

only ratings, rankings, and archival data were used as the<br />

criterion (Barge & Hough, 1986).<br />

CONCLUBIONS<br />

A correlational analysis identified 15 items that may<br />

predict. The data suggest that a biodata test may be a<br />

useful surrogate for job proficiency tests. However, the<br />

limitations of the study, for example, the restricted sample<br />

size, make it essential that these findings be crossvalidated<br />

to confirm and establish the predictive factors.<br />

It is further recommended that the emergent l@profilel@ of the<br />

ratings be used to generate hypotheses about factors that<br />

may be predictive and thus lead to a higher proportion of<br />

discriminating items. Lastly, thought should be given to<br />

extending the biodata approach to other Navy ratings.<br />

REFERENCES<br />

Barge, B.N., and Hough, L.M. (June, 1986). Utility of<br />

biographical data for predicting job performance. In<br />

Leatta M. Hough (Ed.), Literature review: Utility of<br />

temperament, biodata, and interest assessment for<br />

predicting job performance. Alexandria, VA: U.S. Army<br />

Research Institute for the Behavioral and Social Sciences.<br />

Mumford, M.D., and Owens, W.A. (March, 1987). Methodology<br />

review: Principles, procedures, and findings in the<br />

application of background data measures. Applied<br />

Psychological Measurement.<br />

309

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