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Mediation and Suppression in SEM Analysis by Angel Chen is a document available to read on EtoBox.
This study investigates the effectiveness of various statistical methods for testing mediation and suppression effects of latent variables using Structural Equation Modeling (SEM). It finds that SEM provides unbiased estimates and that bias-corrected bootstrap confidence intervals are the most reliable for testing these effects. The paper also discusses the importance of controlling for measurement errors and offers practical recommendations for researchers in the field.
- Author
- Angel Chen
- Language
- EN