Principles and practice in reporting structural equation analyses

Roderick P. McDonald

doi:10.1037//1082-989X.7.1.64

Principles and practice in reporting structural equation analyses

2002-01-01

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DOI：10.1037//1082-989X.7.1.64

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Abstract

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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.

Keywords:

COVARIANCE STRUCTURE-ANALYSIS

MAXIMUM-LIKELIHOOD

TEST STATISTICS

2-STEP APPROACH

FIT INDEXES

MODEL

4-STEP

ASSUMPTIONS

ROBUSTNESS

PSYCHOLOGY

Principles and practice in reporting structural equation analyses

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