Adjusted Design Effect Model for Longitudinal Survey Data

In this research, we propose a longitudinal adjusted design effect model that integrates both the design effect and time effect, offering reliable estimators of variance. We investigate the asymptotic properties of certain types of estimators. Through simulation studies, we show the exceptional performance of the proposed method, demonstrating its superiority in producing accurate standard error estimators compared to existing approaches.