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arXiv · 2208.11306

Correlation-preserving mean plausible values as a basis for prediction in the context of Bayesian structural equation modeling

André Beauducel·Norbert Hilger
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Abstract

Mean plausible values can be computed when Bayesian structural equation modeling (BSEM) is performed. As mean plausible values do not preserve the inter-factor correlations, they yield path coefficients that are different from the estimated path coefficients of the model. As it might be of interest to perform exactly the same prediction on the level of plausible values that has been estimated by BSEM, correlation-preserving mean plausible values were proposed. An example for the computation of the correlation preserving mean plausible values is given and the corresponding syntax is given in the Appendix.

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André Beauducel, Norbert Hilger. 2022-08-24. Correlation-preserving mean plausible values as a basis for prediction in the context of Bayesian structural equation modeling. https://arxiv.org/abs/2208.11306

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