Effects of Sample Size and Nonnormality on the Estimation of Mediated Effects in Latent Variable Models.

Finch, John F.; And Others

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Peer reviewed

ERIC Number: EJ543813

Record Type: Journal

Publication Date: 1997

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ISSN: ISSN-1070-5511

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Effects of Sample Size and Nonnormality on the Estimation of Mediated Effects in Latent Variable Models.

Finch, John F.; And Others

Structural Equation Modeling, v4 n2 p87-107 1997

A Monte Carlo approach was used to examine bias in the estimation of indirect effects and their associated standard errors. Results illustrate the adverse effects of nonnormality on the accuracy of significance tests in latent variable models estimated using normal theory maximum likelihood statistics. (SLD)

Descriptors: Error of Measurement, Estimation (Mathematics), Maximum Likelihood Statistics, Monte Carlo Methods, Sample Size, Statistical Bias, Statistical Significance

Publication Type: Reports - Evaluative; Journal Articles

Education Level: N/A

Audience: N/A

Language: English

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