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A SAS Macro for Loglinear Smoothing: Applications and Implications SAS IML

Moses, Tim P.; von Davier, Alina A.
Publication Year:
Report Number:
ETS Research Report
Document Type:
Page Count:
Subject/Key Words:
Loglinear Smoothing, Test Equating, SAS IML Programing Language


The two purposes of this paper are to provide a SAS IML macro that performs loglinear smoothing and to apply this macro to loglinear smoothing problems that have not been extensively discussed in the test-equating literature. The SAS macro is demonstrated on univariate, bivariate, and trivariate smoothing problems. The univariate and bivariate examples reproduce published results (von Davier, Holland, & Thayer, 2004). The trivariate example extends the bivariate smoothing example to allow for comparisons of subgroups’ univariate and bivariate distributions. The implications are that important questions about distribution differences and subpopulation invariance of equating functions can be considered through comparisons and evaluations of complex loglinear models that are easily fit with this SAS IML macro.

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