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Standardized Regression Coefficients
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BetaADF()
- Estimate Standardized Regression Coefficients and the Corresponding Sampling Covariance Matrix Using the Asymptotic Distribution-Free Approach
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BetaHC()
- Estimate Standardized Regression Coefficients and the Corresponding Robust Sampling Covariance Matrix Using the Heteroskedasticity Consistent Approach
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BetaN()
- Estimate Standardized Regression Coefficients and the Corresponding Sampling Covariance Matrix Assuming Multivariate Normality
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RSqSandwich()
- Estimate R-Squared and Adjusted R-Squared and the Corresponding Sampling Covariance Matrix
Semipartial and Squared Partial Correlations
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SCorSandwich()
- Estimate Semipartial Correlation Coefficients and the Corresponding Sampling Covariance Matrix
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PCorSandwich()
- Estimate Squared Partial Correlation Coefficients and the Corresponding Sampling Covariance Matrix
Improvement in R-Squared and Cohen’s f-Squared
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DeltaRSqSandwich()
- Estimate Improvement in R-Squared and the Corresponding Sampling Covariance Matrix
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FSqSandwich()
- Estimate Cohen's f-Squared and Local f-Squared and the Corresponding Sampling Covariance Matrix
Differences of Standardized Regression Coefficients
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DiffBetaSandwich()
- Estimate Differences of Standardized Slopes and the Corresponding Sampling Covariance Matrix
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nas1982
- 1982 National Academy of Sciences Doctoral Programs Data