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Educational and Psychological Measurement
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Power and Sample Size for the Root Mean Square Error of Approximation Test of not Close Fit in Structural Equation Modeling

Gregory R. Hancock

Mara J. Freeman

University of Maryland, College Park

Targeted toward the applied modeler, this article provides select power and sample size tables and interpolation strategies associated with the root mean square error of approximation test of not close fit under standard assumed conditions. It is hoped that researchers conducting structural equation modeling will be better informed as to power limitations when testing a model given a particular available sample size or, better yet, that they will heed the sample size recommendations contained herein when planning their study to ensure the most accurate assessment of the degree of close fit between data and model.

Educational and Psychological Measurement, Vol. 61, No. 5, 741-758 (2001)
DOI: 10.1177/00131640121971491
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