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The CORR Procedure

Overview
Getting Started
Syntax
PROC CORR Statement BY Statement FREQ Statement ID Statement PARTIAL Statement VAR Statement WEIGHT Statement WITH Statement
Details
Pearson Product-Moment Correlation Spearman Rank-Order Correlation Kendall’s Tau-b Correlation Coefficient Hoeffding Dependence Coefficient Partial Correlation Fisher’s z Transformation Polychoric Correlation Polyserial Correlation Cronbach’s Coefficient Alpha Confidence and Prediction Ellipses Missing Values In-Database Computation Output Tables Output Data Sets ODS Table Names ODS Graphics
Examples
Computing Four Measures of Association Computing Correlations between Two Sets of Variables Analysis Using Fisher’s z Transformation Applications of Fisher’s z Transformation Computing Polyserial Correlations Computing Cronbach’s Coefficient Alpha Saving Correlations in an Output Data Set Creating Scatter Plots Computing Partial Correlations
References

Examples: CORR Procedure

Subsections:

2.1 Computing Four Measures of Association
2.2 Computing Correlations between Two Sets of Variables
2.3 Analysis Using Fisher’s z Transformation
2.4 Applications of Fisher’s z Transformation
2.5 Computing Polyserial Correlations
2.6 Computing Cronbach’s Coefficient Alpha
2.7 Saving Correlations in an Output Data Set
2.8 Creating Scatter Plots
2.9 Computing Partial Correlations

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