Abstract

Three planned missing designs (3-form, fractional block and a control design) were compared in a confirmatory factor analysis model based on a simulated data. Multiple imputations and full information maximum likelihood were the two missing data treatment methods used. Different sample size conditions were tested. Missing designs and treatment methods were compared based on model convergence rates and parameter estimations.