Restoring Caution, Integrity, and Practicality to the Sample Size Planning Process

Accurately planning sample sizes has been challenging, especially due to uncertainty around nuisance model parameters. This talk introduces an innovative method designed to restore robustness and simplify sample size determination in the structural equation modeling framework, demonstrated through measured variable structural models, aiming to enhance statistical integrity in research.