Abstract
Cross-validation typically refers to the application of regression weights derived in one sample (the derivation sample) to a different sample (the validation sample) to investigate the stability of relationships based on the original weights. When the standard cross-validation paradigm is thought to reflect accurately the use of a prediction equation in practice, the researcher should use an appropriate cross-validation strategy. Two superficially similar cross-validation procedures are presented. (12 ref) (PsycINFO Database Record (c) 2006 APA, all rights reserved).
Original language | English (US) |
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Pages (from-to) | 728-730 |
Number of pages | 3 |
Journal | Journal of Applied Psychology |
Volume | 65 |
Issue number | 6 |
DOIs | |
State | Published - Dec 1980 |
Externally published | Yes |
Keywords
- proper cross validation procedures with prediction equations, applications of raw vs standard scores
ASJC Scopus subject areas
- Applied Psychology