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Please use this identifier to cite or link to this item: http://hdl.handle.net/11299/99457

Title: Multiple regression and validity estimation in one sample
Authors: Claudy, John G.
Issue Date: 1978
Citation: Claudy, John G. (1978). Multiple regression and validity estimation in one sample. Applied Psychological Measurement, 2, 595-607. doi:10.1177/014662167800200414
Abstract: This study empirically investigated equations for estimating the value of the multiple correlation coefficient in the population underlying a sample and the value of the population validity coefficient of a sample regression equation. In addition to previously published estimation equations, several new procedures, including an empirically derived equation, were evaluated using 16 independent populations. Overall, the empirical equation was superior to any of the previously published estimation procedures. It appears that cross-validation may no longer be necessary for certain purposes.
URI: http://purl.umn.edu/99457
Appears in Collections:Volume 02, 1978

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