Assessing Fit of Latent Regression Models. Research Report. ETS RR-09-50

Autor/inn/en	Sinharay, Sandip; Guo, Zhumei; von Davier, Matthias; Veldkamp, Bernard P.
Titel	Assessing Fit of Latent Regression Models. Research Report. ETS RR-09-50
Quelle	In: ETS Research Report Series, (2009), (30 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2330-8516
Schlagwörter	Regression (Statistics); Models; Goodness of Fit; National Competency Tests; Statistical Analysis; National Assessment of Educational Progress + Suchen Sie Ihr Suchwort? Regression; Regressionsanalyse; Analogiemodell; Statistische Analyse
Abstract	The reporting methods used in large-scale educational assessments such as the National Assessment of Educational Progress (NAEP) rely on a "latent regression model". There is a lack of research on the assessment of fit of latent regression models. This paper suggests a simulation-based model-fit technique to assess the fit of such models. The technique consists of investigating whether basic statistical summaries are predicted adequately by the latent regression model. Application of the suggested technique to an operational NAEP data set reveals important information regarding the fit of the latent regression model to the data. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01