This research aims to delve into the intricate dynamics of university student entrepreneurship by employing a Structural Equation Modeling (SEM) approach to analyze micro-level behaviors contributing
Average biases, Standard Deviations (SD), and Root Mean Square Errors (RMSE) of loadings and path coefficients estimated from IG-GSCA over different sample sizes in the simulation study.