title: Principles and practice in reporting structural equation analyses.
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.
authors.affiliation: Department of Psychology, University of Illinois at Urbana-Champaign, 61820, USA. rmcdonal@s.psych.uiuc.edu
authors.forename: Roderick P
authors.initials: RP
authors.lastname: McDonald
authors.forename: Moon-Ho Ringo
authors.initials: MH
authors.lastname: Ho
mesh_terms: D006801:Humans; D016014:Linear Models; D008960:Models, Psychological; D012107:Research Design