Power Analysis for Models of Change in Cluster Randomized Designs

Autor/inn/en	Li, Wei; Konstantopoulos, Spyros
Titel	Power Analysis for Models of Change in Cluster Randomized Designs
Quelle	In: Educational and Psychological Measurement, 77 (2017) 1, S.119-142 (24 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0013-1644
DOI	10.1177/0013164416641460
Schlagwörter	Educational Experiments; Field Studies; Models; Randomized Controlled Trials; Multivariate Analysis; Computation; Sample Size; Effect Size; Equations (Mathematics); Measurement Techniques; Experimental Groups; Control Groups; Statistical Analysis; Indiana + Suchen Sie Ihr Suchwort? Schulversuch; Praxisforschung; Analogiemodell; Multivariate Analyse; Equations; Mathematics; Gleichungslehre; Messtechnik; Statistische Analyse
Abstract	Field experiments in education frequently assign entire groups such as schools to treatment or control conditions. These experiments incorporate sometimes a longitudinal component where for example students are followed over time to assess differences in the average rate of linear change, or rate of acceleration. In this study, we provide methods for power analysis in three-level polynomial change models for cluster randomized designs (i.e., treatment assigned to units at the third level). Power computations take into account clustering effects at the second and third levels, the number of measurement occasions, the impact of sample sizes at different levels (e.g., number of schools or students), and covariates effects. An illustrative example that shows how power is influenced by the number of measurement occasions, and sample sizes and covariates at the second or third levels is presented. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01