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Standardized Regression Coefficients

BetaADF()
Estimate Standardized Regression Coefficients and the Corresponding Sampling Covariance Matrix Using the Asymptotic Distribution-Free Approach
BetaHC()
Estimate Standardized Regression Coefficients and the Corresponding Robust Sampling Covariance Matrix Using the Heteroskedasticity Consistent Approach
BetaN()
Estimate Standardized Regression Coefficients and the Corresponding Sampling Covariance Matrix Assuming Multivariate Normality

R-Squared

RSqSandwich()
Estimate R-Squared and Adjusted R-Squared and the Corresponding Sampling Covariance Matrix

Semipartial and Squared Partial Correlations

SCorSandwich()
Estimate Semipartial Correlation Coefficients and the Corresponding Sampling Covariance Matrix
PCorSandwich()
Estimate Squared Partial Correlation Coefficients and the Corresponding Sampling Covariance Matrix

Improvement in R-Squared and Cohen’s f-Squared

DeltaRSqSandwich()
Estimate Improvement in R-Squared and the Corresponding Sampling Covariance Matrix
FSqSandwich()
Estimate Cohen's f-Squared and Local f-Squared and the Corresponding Sampling Covariance Matrix

Differences of Standardized Regression Coefficients

DiffBetaSandwich()
Estimate Differences of Standardized Slopes and the Corresponding Sampling Covariance Matrix

Methods

coef(<betasandwich>)
Standardized Regression Slopes
coef(<essandwich>)
Estimates for an Object of Class essandwich
confint(<betasandwich>)
Confidence Intervals for Standardized Regression Slopes
confint(<essandwich>)
Confidence Intervals for an Object of Class essandwich
print(<betasandwich>)
Print Method for an Object of Class betasandwich
print(<essandwich>)
Print Method for an Object of Class essandwich
print(<summary.essandwich>)
Print Method for an Object of Class summary.essandwich
summary(<betasandwich>)
Summary Method for an Object of Class betasandwich
summary(<essandwich>)
Summary Method for an Object of Class essandwich
vcov(<betasandwich>)
Sampling Covariance Matrix of the Standardized Regression Slopes
vcov(<essandwich>)
Sampling Covariance Matrix for an Object of Class essandwich

Data

nas1982
1982 National Academy of Sciences Doctoral Programs Data