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Small sample solutions for structural equation modeling. (01J03319)

Small samples (N<150) are a problem for structural equation modeling (SEM), both for estimation of model parameters, as for model-based inference. This project will develop solutions to stabilize the model estimation part, and to improve the model-based inference if the sample size is small. This will
allow researchers with sample sizes to use SEM.

Date:1 Oct 2019 →  Today
Keywords:estimation methods, inference, structural equation modeling, small samples