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:: XVI. Prediction of vocational success (concluded)

Collection:: Economics Books

Y PREDICTION OF VOCATIONAL SUCCESS (Concluded) Prediction based on correlation. Regression line and regression equation. Standard error of estimate. Percentile curves. ALTHOUGH the correlation coefficient, if high, gives assur- ance that the test scores are related to success in the voca- tion, it gives no indication of the probable degree of voca- tional success of an individual who obtains a certain test score. To make a prediction of the unknown variable from the known variable, the criterion from the test score, use is made of the regression line or the regression equation. For every correlation table there are two regression lines and two regression equations. The one to be used depends on which is the known variable. The investigator must always be certain that he is using the right regression, namely, the criterion on the test score. Knowledge of the coefficient of correlation between test score and criterion is not a necessary prerequisite to the use of the regression equation, but it must be known in order to judge the value of the regression equation. The regression lines may be obtained in several ways. If a scatter diagram is drawn, the mean of each column of figures may be estimated and represented by a dot, and then by adjusting a tight string over the diagram the straight line may be found which best fits the dots. If this line is drawn on the diagram, it may be used in obtaining the most prob- able value of the unknown variable, the ordinate (usually denoted by V), corresponding to a given value of the known variable plotted as an abscissa (X). (This is known as the LVI 107

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