The Consequences of Ignoring Multilevel Data Structures in Nonhierarchical Covariance Modeling.

Julian, Marc W.

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Peer reviewed

ERIC Number: EJ636363

Record Type: Journal

Publication Date: 2001

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ISSN: ISSN-1070-5511

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The Consequences of Ignoring Multilevel Data Structures in Nonhierarchical Covariance Modeling.

Julian, Marc W.

Structural Equation Modeling, v8 n3 p325-52 2001

Examined the effects of ignoring multilevel data structures in nonhierarchical covariance modeling using a Monte Carlo simulation. Results suggest that when the magnitudes of intraclass correlations are less than 0.05 and the group size is small, the consequences of ignoring the data dependence within the multilevel data structures seem to be negligible. (SLD)

Descriptors: Correlation, Monte Carlo Methods, Sample Size, Simulation

Publication Type: Journal Articles; Reports - Evaluative

Education Level: N/A

Audience: N/A

Language: English

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