Chapter 8: Introduction to Scoring, Standardization, and Ranking Procedures

Overview

Several SAS/STAT procedures are utilities that produce an output data set with new variables that are transformations of data in the input data set. SAS/STAT software includes four of these procedures. The RANK procedure produces rank scores across observations, the SCORE procedure constructs functions across the variables , and the STANDARD and STDIZE procedures transform each variable individually.

RANK	ranks the observations of each numeric variable from low to high and outputs ranks or rank scores. For a complete discussion of the RANK procedure, refer to the SAS Procedures Guide .
SCORE	constructs new variables that are linear combinations of old variables according to a scoring data set. This procedure is used with the FACTOR procedure and other procedures that output scoring coefficients.
STANDARD	standardizes variables to a given mean and standard deviation. For a complete discussion of PROC STANDARD, refer to the SAS Procedures Guide .
STDIZE	standardizes variables by subtracting a location measure and dividing by a scale measure. A variety of location and scale measures are provided. Such measures include the mean, median, Huber's estimate, Tukey's biweight estimate, and Andrew's wave estimate.