Confidence intervals for the cross-validated multiple correlation in predictive regression models

Abstract

Presents improved procedures to approximate confidence intervals for ρ–2 and ρ c –2 in both fixed and random predictor models. These approximations require neither point estimates nor variance estimates and are analytically shown to be precise enough for most practical prediction purposes. An application of confidence intervals in regression model development is also given. (16 ref) (PsycInfo Database Record (c) 2025 APA, all rights reserved)