Estimation of a Nonlinear Intervention Phase Trajectory for Multiple-Baseline Design Data

Autor/inn/en	Hembry, Ian; Bunuan, Rommel; Beretvas, S. Natasha; Ferron, John M.; Van den Noortgate, Wim
Titel	Estimation of a Nonlinear Intervention Phase Trajectory for Multiple-Baseline Design Data
Quelle	In: Journal of Experimental Education, 83 (2015) 4, S.514-546 (33 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	Weitere Informationen
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0022-0973
DOI	10.1080/00220973.2014.907231
Schlagwörter	Computation; Research Design; Data; Intervention; Hierarchical Linear Modeling; Markov Processes; Monte Carlo Methods; Statistical Analysis + Suchen Sie Ihr Suchwort? Forschungsdesign; Daten; Markowscher Prozess; Monte-Carlo-Methode; Statistische Analyse
Abstract	A multilevel logistic model for estimating a nonlinear trajectory in a multiple-baseline design is introduced. The model is applied to data from a real multiple-baseline design study to demonstrate interpretation of relevant parameters. A simple change-in-levels (?"Levels") model and a model involving a quadratic function ("Quadratic") for the nonlinear intervention phase data were also estimated. In addition, a simulation study was conducted to assess Markov chain Monte Carlo estimation of the logistic model and compare its trajectory recovery with use of the ?"Levels" and "Quadratic" models. While most of the logistic model's parameter values were recovered well, trajectory recovery was very reasonable using the simpler "Quadratic" model. Results are discussed along with recommendations for practitioners and directions for future research. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01