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Comparing Bayesian estimation and structural-after-measurement approaches for structural equation models with latent interactions and complex data structures

Crossref DOI link: https://doi.org/10.3758/s13428-025-02840-x

Published Online: 2025-10-22

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Cox, Kyle https://orcid.org/0000-0002-7173-4701
Kelcey, Benjamin
Funding

Funding for this research was provided by:

National Science Foundation (2300993)

University of North Carolina at Charlotte
License Information

Text and Data Mining valid from 2025-10-22

Version of Record valid from 2025-10-22
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Article History

Received: 26 September 2023

Accepted: 5 September 2025

First Online: 22 October 2025

Declarations

:

: The authors have no potential conflicts of interest pertaining to the manuscript.

: Not applicable.

: Not applicable.

: We confirm that this work is original and has not been published elsewhere, nor is it currently under consideration for publication elsewhere.

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