Estimating R 2 Shrinkage in Multiple Regression: A Comparison of Different Analytical Methods
162 citations recorded by the source corpus.
Subfields: Food Science, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/52fe52212461f9a38be01879d0f84e727a638ce4
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In Food Science
In Statistics and Probability
- C. F. Bond
- Gwowen Shieh
- R. Henson
- Maria Hartwig
- Hanna Eklöf
- Wilmar B. Schaufeli
- Frank Pajares
- Marisa Salanova
Citations in the corpus
- Improved Shrinkage Estimation of Squared Multiple Correlation Coefficient and Squared Cross-Validity Coefficient (2008, methodology): “Therefore, the estimators considered in Raju et al. (1999) and Yin and Fan (2001) are only subsets of these formulas (a total of 18) presented here.”
- Lie Detection from Multiple Cues: A Meta‐analysis (2014, methodology): “With the Browne-1 formula in Yin and Fan (2001, pp. 210, 215), we compute where N is the number of lie and truth tellers and p is the number of cues from which deception is predicted and T = 1 – (1 (cid:2) R 2 )[( N (cid:2) 1)/( N (cid:2) p (cid:2) 1)] We also report results on percentage lie –…”
- Effect-Size Measures and Meta-Analytic Thinking in Counseling Psychology Research (2006, methodology): “…effect) for main effects and interactions; Cohen’s d or Glass’s delta for post hoc mean comparisons Regression R2 or corrected R2 (for R2 corrections, see Yin & Fan, 2001) Hotelling’s T 2 D2 (Mahalanobis distance) MANOVA Multivariate η2 (1 – Wilks’s lambda); D2 for multivariate mean (MANCOVA)…”