Principles and practice in reporting structural equation analyses

Psychol Methods. 2002 Mar;7(1):64-82. doi: 10.1037/1082-989x.7.1.64.


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.

MeSH terms

  • Humans
  • Linear Models
  • Models, Psychological*
  • Research Design