A New Approach for Estimating a Nonlinear Growth Component in Multilevel Modeling

Autor/inn/en	Tolvanen, Asko; Kiuru, Noona; Leskinen, Esko; Hakkarainen, Kai; Inkinen, Mikko; Lonka, Kirsti; Salmela-Aro, Katariina
Titel	A New Approach for Estimating a Nonlinear Growth Component in Multilevel Modeling
Quelle	In: International Journal of Behavioral Development, 35 (2011) 4, S.370-379 (10 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0165-0254
DOI	10.1177/0165025411406564
Schlagwörter	Monte Carlo Methods; Computation; Longitudinal Studies; Teaching Methods; Simulation; Structural Equation Models; Multiple Regression Analysis; Data Analysis; Foreign Countries; Evaluation Methods; Undergraduate Students; Adult Education; Mathematics Education; Student Behavior; Development; Finland + Suchen Sie Ihr Suchwort? Monte-Carlo-Methode; Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung; Teaching method; Lehrmethode; Unterrichtsmethode; Simulation program; Simulationsprogramm; Auswertung; Ausland; Adult; Adults; Education; Adult basic education; Adult training; Erwachsenenbildung; Mathematische Bildung; Student behaviour; Schülerverhalten; Entwicklung; Finnland
Abstract	This study presents a new approach to estimation of a nonlinear growth curve component with fixed and random effects in multilevel modeling. This approach can be used to estimate change in longitudinal data, such as day-of-the-week fluctuation. The motivation of the new approach is to avoid spurious estimates in a random coefficient regression model due to the synchronized periodical effect (e.g., day-of-the-week fluctuation) appearing both in independent and dependent variables. First, the new approach is introduced. Second, a Monte Carlo simulation study is carried out to examine the functioning of the proposed new approach in the case of small sample sizes. Third, the use of the approach is illustrated by using an empirical example. (Contains 3 tables and 6 figures.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10