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

Journal Article

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.

Duke Authors

Cited Authors

  • Green, SB; Babyak, MA

Published Date

  • 1997

Published In

  • Multivariate Behavioral Research

Volume / Issue

  • 32 / 1

Start / End Page

  • 39 - 51

PubMed ID

  • 26751105