Procedures in employment psychology

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Monograph

Identifikator:: 173623112X

URN:: urn:nbn:de:zbw-retromon-112923

Document type:: Monograph

Author:: Bingham, Walter Van Dyke http://d-nb.info/gnd/123042593; Freyd, Max

Title:: Procedures in employment psychology

Place of publication:: Chicago & New York

Publisher:: Shaw

Year of publication:: 1926

Scope:: XI, 269 S

Digitisation:: 2020

Collection:: Economics Books

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Document type:: Monograph

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Title:: XVII. Prediction by combined scores

Collection:: Economics Books

EMPLOYMENT PSYCHOLOGY on the reliability of the measure and on the validity with which it predicts the criterion. Tests may be weighted roughly in accordance with their reliability. The reliability of a test can best be calculated by giving it a second time and correlating the two series of scores. The reliability coefficient, however expressed, may then be used in giving relative weight to the test. Measures of reliability have been discussed in Chapter XIII. A rough system of weighting, when each test has been correlated once with the criterion of success, is to assign weights to the various test scores in accordance with the size of the correlation of the particular test with the cri- terion. Test scores must previously have been equalized by weighting to overcome the weakness pointed out in the first method in this section. Scores in a test may be weighted in accordance with the regression equation of the criterion on that test. If raw scores are used, their values for the test should be multiplied by the fraction Tule and then added to the additive con- stant. In this fraction y refers to the criterion and x to the test. A person’s total score will be the summation of his scores in the separate tests after each has been weighted in this manner. If measures are in terms of deviations from the mean, there is no additive constant. Another method is to weight scores in a test in inverse proportion to the standard error of estimate of the criterion predicted from scores in that test (see pages 199-200). The most accurate statistical device for combining scores in several tests is the multiple regression equation. The multiple correlation coefficient, represented by Ri(s...n), is the correlation between the criterion, 1, and the best weighted combination of the various tests, 23. . .x. The multiple correlation coefficient may be obtained by the formula given by Yule (233, formula 15, p. 248). The formula for three variables is as follows: a Ri (a3) =V/ 1—(1—7%)(1—1%,) 208 43)

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