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ERIC Number: EJ1111411
Record Type: Journal
Publication Date: 2006-Apr
Pages: 48
Abstractor: As Provided
ISSN: EISSN-2330-8516
A SAS Macro for Loglinear Smoothing: Applications and Implications April. Research Report. ETS RR-06-05
Moses, Tim P.; von Davier, Alina A.
ETS Research Report Series, Apr 2006
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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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A