Truncated Component Regression, Multicollinearity And The MMPI's Use In A Police Officer Selection Setting
- 1 January 1982
- journal article
- research article
- Published by Taylor & Francis in Multivariate Behavioral Research
- Vol. 17 (1) , 99-116
- https://doi.org/10.1207/s15327906mbr1701_7
Abstract
The clinical scales of the MMPI are highly intercorrelated (multicollinear). Theoretical considerations suggest, therefore, that multiple correlations between these scales and criterion measures will be inflated; yet this possible inflation has not been examined empirically in MMPI research. A suggested method for use with multicollinear measures is truncated component regression (TCR). The technique involves use of principal components instead of original raw scales as predictors. Experiment I compared TCR and ordinary least squares regression (OLSR) of MMPI and field performance indices obtained from police officers during training, and in their early years of service. Multiple correlations derived from OSLR were often found to be arithmetically, but not statistically, much larger than TCR-derived multiple correlations. This suggests these OLSR measures are inflated. However, several MMPI-field performance correlations derived from TCR were significant, supporting the use of the MMPI in police selection...This publication has 11 references indexed in Scilit:
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