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Autor/inn/enAydin, Burak; Leite, Walter L.; Algina, James
TitelThe Effects of Including Observed Means or Latent Means as Covariates in Multilevel Models for Cluster Randomized Trials
QuelleIn: Educational and Psychological Measurement, 76 (2016) 5, S.803-823 (21 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0013-1644
DOI10.1177/0013164415618705
SchlagwörterError of Measurement; Predictor Variables; Randomized Controlled Trials; Experimental Groups; Control Groups; Comparative Analysis; Hierarchical Linear Modeling; Monte Carlo Methods; Simulation; Correlation; Statistics; Error Correction; Item Response Theory; Statistical Analysis; Structural Equation Models; Equations (Mathematics); Maximum Likelihood Statistics
AbstractWe investigated methods of including covariates in two-level models for cluster randomized trials to increase power to detect the treatment effect. We compared multilevel models that included either an observed cluster mean or a latent cluster mean as a covariate, as well as the effect of including Level 1 deviation scores in the model. A Monte Carlo simulation study was performed manipulating effect sizes, cluster sizes, number of clusters, intraclass correlation of the outcome, patterns of missing data, and the squared correlations between Level 1 and Level 2 covariates and the outcome. We found no substantial difference between models with observed means or latent means with respect to convergence, Type I error rates, coverage, and bias. However, coverage could fall outside of acceptable limits if a latent mean is included as a covariate when cluster sizes are small. In terms of statistical power, models with observed means performed similarly to models with latent means, but better when cluster sizes were small. A demonstration is provided using data from a study of the Tools for Getting Along intervention. (As Provided).
AnmerkungenSAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2020/1/01
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