A SAS Macro for Loglinear Smoothing: Applications and Implications April. Research Report. ETS RR-06-05

Autor/inn/en	Moses, Tim P.; von Davier, Alina A.
Titel	A SAS Macro for Loglinear Smoothing: Applications and Implications April. Research Report. ETS RR-06-05
Quelle	In: ETS Research Report Series, (2006), (48 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2330-8516
Schlagwörter	Statistical Analysis; Statistical Distributions; Equated Scores; Models; Goodness of Fit; Computer Software; Computer Oriented Programs + Suchen Sie Ihr Suchwort? Statistische Analyse; Wahrscheinlichkeitsverteilung; Analogiemodell; Computerprogramm
Abstract	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. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01