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Fungible parameter estimates in structural equation modeling.

Taehun Lee1, Robert C MacCallum2, Michael W Browne3

  • 1Department of Psychology, Chung-Ang University.

Psychological Methods
|April 18, 2017
PubMed
Summary
This summary is machine-generated.

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This study introduces a method for finding alternative parameter estimates in structural equation modeling. These fungible estimates offer similar model fit, questioning interpretations based solely on optimal estimates.

Area of Science:

  • Statistics
  • Psychometrics
  • Quantitative Psychology

Background:

  • Fungible regression coefficients have been previously explored.
  • Structural equation modeling (SEM) relies on parameter estimates for interpretation.

Purpose of the Study:

  • To propose a computational method for identifying fungible parameter estimates in SEM.
  • To demonstrate how discrepant fungible estimates can challenge standard interpretations.

Main Methods:

  • Extending prior work on fungible coefficients.
  • Developing and illustrating a computational approach for fungible parameter estimation in SEM.

Main Results:

  • Fungible parameter estimates provide alternative solutions with nearly identical model fit.

Related Experiment Videos

  • Discrepancies between fungible and optimal estimates can significantly impact substantive interpretations.

    • Conclusions:

    • The proposed method allows for the computation of fungible parameter estimates in SEM.
    • Researchers should consider the potential impact of fungible estimates on the validity of their interpretations.