Examining the Category Functioning of the ECERS-R across Eight Data Sets

Autor/inn/en	Fujimoto, Ken A.; Gordon, Rachel A.; Peng, Fang; Hofer, Kerry G.
Titel	Examining the Category Functioning of the ECERS-R across Eight Data Sets
Quelle	In: AERA Open, 4 (2018) 1, (16 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	Weitere Informationen
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2332-8584
Schlagwörter	Rating Scales; Early Childhood Education; Educational Quality; Preschool Curriculum; Correlation; Raw Scores; Child Development; Item Response Theory; Models; Data Collection; Early Childhood Environment Rating Scale + Suchen Sie Ihr Suchwort? Rating-Skala; Early childhood; Education; Frühkindliche Bildung; Frühpädagogik; Quality of education; Bildungsqualität; Korrelation; Kindesentwicklung; Item-Response-Theorie; Analogiemodell; Data capture; Datensammlung
Abstract	Classroom quality measures, such as the Early Childhood Environment Rating Scale, Revised (ECERS-R), are widely used in research, practice, and policy. Increasingly, these uses have been for purposes not originally intended, such as contributing to consequential policy decisions. The current study adds to the recent evidence of problems with the ECERS-R standard stop-scoring by analyzing eight studies offering 14 waves of data collection in approximately 4,000 classrooms. Our analysis, which featured the nominal response model, generalized partial credit model, partial credit model, within-category averages of total scores, and point-biserial correlations, revealed that all 36 items had categories that did not follow an ordinal progression with respect to quality. Additionally, our results showed that the category problems accumulated to the scale score. The results caution against the use of the standard raw scoring and encourage development of alternative scoring methods for the ECERS-R. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01