PDF pending restoration
ERIC Number: ED227137
Record Type: RIE
Publication Date: 1982-Aug
Reference Count: 0
Formula Estimation of Cross-Validated Multiple Correlation.
A review of cross-validation shrinkage formulas is presented which focuses on the theoretical and practical problems in the use of various formulas. Practical guidelines for use of both formulas and empirical cross-validation are provided. A comparison of results using these formulas in a range of situations is then presented. The result of these comparisons indicate that one should use Cattin's formula to estimate cross-validated R, employing either Wherry or Olkin-Pratt estimates of the population R. If examination of predictor-criterion correlations has occurred prior to regression analysis, use empirical cross-validation, or adjust p to indicate the original number of variables examined. Double cross-validation is considered inefficient and unsatisfactory, and a cautionary remark concerning the functional number of predictors is presented. (Author/PN)
Publication Type: Speeches/Meeting Papers; Reports - Research
Education Level: N/A
Authoring Institution: N/A
Identifiers: Cross Validation; Predictive Models
Note: Paper presented at the Annual Meeting of the American Psychological Association (90th, Washington, DC, August the functional 23-27, 1982).