Article2002

Principles and practice in reporting structural equation analyses.

4,724 citations0/0 files storedPsychological Methods

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Psychometric Methodologies and Testing Meta-analysis and systematic reviews Statistical Methods and Bayesian Inference

Abstract

Principles for reporting analyses using structural equation modeling are reviewed, with the goal of supplying readers with complete and accurate information. It is recommended that every report give a detailed justification of the model used, along with plausible alternatives and an account of identifiability. Nonnormality and missing data problems should also be addressed. A complete set of parameters and their standard errors is desirable, and it will often be convenient to supply the correlation matrix and discrepancies, as well as goodness-of-fit indices, so that readers can exercise independent critical judgment. A survey of fairly representative studies compares recent practice with the principles of reporting recommended here.

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References

1999Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives 1988Structural equation modeling in practice: A review and recommended two-step approach.1992Alternative Ways of Assessing Model Fit 1990Comparative fit indexes in structural models.1980Significance tests and goodness of fit in the analysis of covariance structures.1989Structural Equations with Latent Variables 1991Structural Equations with Latent Variables.1994Testing Structural Equation Models.

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