Show Me Some ID: A Universal Identification Program for Structural Equation Models

Michael D. Hunter; Robert M. Kirkpatrick; Michael C. Neale

doi:10.1017/psy.2025.19

journal article Open Access Apr 01, 2025

Show Me Some ID: A Universal Identification Program for Structural Equation Models

Michael D. Hunter

Robert M. Kirkpatrick Michael C. Neale

Psychometrika Vol. 90 No. 2 pp. 418-441 · Cambridge University Press (CUP)

View at Publisher Save 10.1017/psy.2025.19

Abstract

AbstractWith models and research designs ever increasing in complexity, the foundational question of model identification is more important than ever. The determination of whether or not a model can be fit at all or fit to some particular data set is the essence of model identification. In this article, we pull from previously published work on data-independent model identification applicable to a broad set of structural equation models, and extend it further to include extremely flexible exogenous covariate effects and also to include data-dependent empirical model identification. For illustrative purposes, we apply this model identification solution to several small examples for which the answer is already known, including a real data example from the National Longitudinal Survey of Youth; however, the method applies similarly to models that are far from simple to comprehend. The solution is implemented in the open-source OpenMx package in R.

Topics

No keywords indexed for this article. Browse by subject →

Metrics

1

Citations

0

References

Details

Published: Apr 01, 2025
Vol/Issue: 90(2)
Pages: 418-441
License: View

Authors

M

Michael D. Hunter

R

Robert M. Kirkpatrick

M

Michael C. Neale

Cite This Article

Michael D. Hunter, Robert M. Kirkpatrick, Michael C. Neale (2025). Show Me Some ID: A Universal Identification Program for Structural Equation Models. Psychometrika, 90(2), 418-441. https://doi.org/10.1017/psy.2025.19

Show Me Some ID: A Universal Identification Program for Structural Equation Models

You May Also Like