Control of type I errors with multiple tests of constraints in structural equation modeling

Samuel B. Green, Michael A. Babyak

Research output: Contribution to journalReview articlepeer-review

47 Scopus citations


Two contrasting views toward the evaluation of multiple tests of constraints and control of Type I errors in structural equation modeling are presented. (a) Exploring data helps researchers make decisions about inclusion of relevant model parameters and control of Type I errors hinders this process. (b) Exploring data is not likely to yield meaningful models unless we can limit the process on the basis of methods and theory, and controlling Type I errors is a useful device to force us to limit our searches. Also, in evaluating multiple tests of constraints for applications other than exploratory analyses, we should control for Type I errors as we do in testing multiple comparisons in analysis of variance. We argue for the second perspective and present examples to illustrate methods for controlling Type I errors when making model comparisons.

Original languageEnglish (US)
Pages (from-to)39-51
Number of pages13
JournalMultivariate Behavioral Research
Issue number1
StatePublished - 1997

ASJC Scopus subject areas

  • Statistics and Probability
  • Experimental and Cognitive Psychology
  • Arts and Humanities (miscellaneous)


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