Modeling Nonlinear Growth with Three Data Points: Illustration with Benchmarking Data

Autor/inn/en	Kamata, Akihito; Nese, Joseph F. T.; Patarapichayatham, Chalie; Lai, Cheng-Fei
Titel	Modeling Nonlinear Growth with Three Data Points: Illustration with Benchmarking Data
Quelle	In: Assessment for Effective Intervention, 38 (2013) 2, S.105-116 (12 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	Weitere Informationen
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1534-5084
DOI	10.1177/1534508412457872
Schlagwörter	Individual Differences; Reading Fluency; Curriculum Based Assessment; Correlation; Scores; Benchmarking; Data; Models; Statistical Analysis; Measurement; Factor Analysis; Intervals + Suchen Sie Ihr Suchwort? Individueller Unterschied; Korrelation; Daten; Analogiemodell; Statistische Analyse; Messverfahren; Faktorenanalyse
Abstract	The purpose of this article is to demonstrate ways to model nonlinear growth using three testing occasions. We demonstrate our growth models in the context of curriculum-based measurement using the fall, winter, and spring passage reading fluency benchmark assessments. We present a brief technical overview that includes the limitations of a growth model with three time points, and how nonlinear growth can be modeled and the associated limitations. We present results for a piecewise growth mixture modeling approach to model nonlinear growth for 1 to 3 classes, as well as to further explain individual differences and to capture heterogeneity of growth patterns. We discuss our interpretation of these results, as well as the implications of different methods for modeling nonlinear growth with three occasions. (Contains 3 tables, 3 figures, and 2 notes.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10