Most of the analytical methods of factor rotation have been developed to achieve the simple structure of multiple factors. Rotation methods for the bi-factor structure constructed of a general factor and group factors have also been proposed. Monte Carlo experiments are performed to study of the behavior of factor rotation methods for recovering of the bi-factor structure. The condition of this study is the rotation method (Varimax, Promax, Bi-factor, Biquartimin, and Quartimin). Three types of factor correlations are also examined as the part of population models. Biquartimin method reveals better recovering of the bi-factor structure among above analytic rotation methods. The implications of these findings relating the factor structure and factor rotation are discussed
