Effect size is a measure of the difference in effect or the relationship of one variable to another variable. The effect size on the poverty model is obtained from the correlation between the factors influencing the poverty variable. The poverty model in Indonesia is influenced by economic, health, and human resources (HR) variables, the effect size of the poverty model in each province is heterogeneous or has differences so that to produce a value of generally or homogeneous poverty for Indonesia, should be estimated using meta-analytic structural equation modeling (MASEM). The estimation of the effect size of the MASEM in this study uses the GMM because it is sensitive to data heterogeneity. The results of this study indicate that the effect size of MASEM has SE values ξ1ǡ ξ2 and ξ3 namely 0.033, 0.035 and 0.033 which meets the fitted model. Therefore, the homogeneity of the poverty in Indonesia is significantly affected by the economic variable in the amount of 0.483 and the Health variable in the amount of -0.156, while the HR variable has a non-significant effect in the amount of 0.003.