Risky tests, verisimilitude, and path analysis

Niels G. Waller, Paul E. Meehl

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


P. E. Meehl and N. G. Waller (2002) described a novel approach for appraising the verisimilitude of path analysis models. This approach uses limited information parameter estimates when assessing model fit and a nonparametric badness-of-fit measure that relies on path diagram combinatories. R. C. MacCallum, M. W. Browne, and K. J. Preacher (2002); C. S. Reichardt (2002); and S. Mulaik (2002) have provided comments on this work. In this article the authors respond to the commentators and reemphasize the importance of subjecting causal models to severe (risky) tests.

Original languageEnglish (US)
Pages (from-to)323-337
Number of pages15
JournalPsychological Methods
Issue number3
StatePublished - Sep 2002


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