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ERIC Number: EJ920293
Record Type: Journal
Publication Date: 2011-May
Pages: 2
Abstractor: ERIC
Reference Count: 15
ISSN: ISSN-0146-6216
A SAS IML Macro for Loglinear Smoothing
Moses, Tim; von Davier, Alina
Applied Psychological Measurement, v35 n3 p250-251 May 2011
Polynomial loglinear models for one-, two-, and higher-way contingency tables have important applications to measurement and assessment. They are essentially regarded as a smoothing technique, which is commonly referred to as loglinear smoothing. A SAS IML (SAS Institute, 2002a) macro was created to implement loglinear smoothing according to Holland and Thayer's (2000) specifications. This macro is flexible enough to handle complicated smoothing problems, has a higher convergence rate than SAS PROC GENMOD (SAS Institute, 2002b), and produces a variety of model fit statistics. An ETS Research Report that describes the SAS IML macro (Moses & von Davier, 2006) is available at
SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail:; Web site:
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A