A Monte Carlo Investigation of Methods for Controlling Type I Errors with Specification Searches in Structural Equation Modeling.

Green, Samuel B.; Thompson, Marilyn S.; Babyak, Michael A.

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Peer reviewed

ERIC Number: EJ576554

Record Type: Journal

Publication Date: 1998

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ISSN: ISSN-0027-3171

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A Monte Carlo Investigation of Methods for Controlling Type I Errors with Specification Searches in Structural Equation Modeling.

Green, Samuel B.; Thompson, Marilyn S.; Babyak, Michael A.

Multivariate Behavioral Research, v33 n3 p365-83 1998

Simulated data for factor analytic models is used in the evaluation of three methods for controlling Type I errors: (1) the standard approach that involves testing each parameter at the 0.05 level; (2) the Bonferroni approach; and (3) a simultaneous test procedure (STP). Advantages offered by the Bonferroni approach are discussed. (SLD)

Descriptors: Factor Analysis, Monte Carlo Methods, Simulation, Structural Equation Models

Publication Type: Journal Articles; Reports - Evaluative

Education Level: N/A

Audience: N/A

Language: English

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Authoring Institution: N/A

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Author Affiliations: N/A