Dealing with Dependence (Part I): Understanding the Effects of Clustered Data

Autor/inn/en	McCoach, D. Betsy; Adelson, Jill L.
Titel	Dealing with Dependence (Part I): Understanding the Effects of Clustered Data
Quelle	In: Gifted Child Quarterly, 54 (2010) 2, S.152-155 (4 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0016-9862
DOI	10.1177/0016986210363076
Schlagwörter	Statistical Significance; Error of Measurement; Correlation; Data Analysis; Multivariate Analysis; Vocabulary Development; Evaluation Methods; Models + Suchen Sie Ihr Suchwort? Messfehler; Korrelation; Auswertung; Multivariate Analyse; Wortschatzarbeit; Analogiemodell
Abstract	This article provides a conceptual introduction to the issues surrounding the analysis of clustered (nested) data. We define the intraclass correlation coefficient (ICC) and the design effect, and we explain their effect on the standard error. When the ICC is greater than 0, then the design effect is greater than 1. In such a scenario, the standard error produced under the assumption of independence is underestimated. This increases the Type I error rate. We provide a short illustration of the effect of non-independence on the standard error. We show that after accounting for the design effect, our decision about the statistical significance of the test statistic changes. When we fail to account for the clustered nature of the data, we conclude that the difference between the two groups is statistically significant. However, once we adjust the standard error for the design effect, the difference is no longer statistically significant. (Contains 1 note and 1 figure.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10