There are numerous approaches to measuring multidimensional poverty; these include the Human Development Index and the Multidimensional Poverty Index among others [1]. However, a gap in the literature is found when intervention assessment tools are investigated. The idea of creating a standardized assessment tool would allow for a deeper understanding of poverty on a per community basis. Structural Equation Modeling (SEM) offers a robust platform in which to establish such a tool. An overview of SEM and several other general approaches to data aggregation are addressed. The notion of a standardized intervention assessment tool is discussed; this is focused on utilizing the SEM platform for this tool. Further, previous works by Divelbiss [2] and Voth-Gaeddert [3], [4] are discussed. To date SEM has shown to handle adaptability of differing environments positively. Divelbiss reported on the SEM multivariable poverty model within villages of Guatemala and Voth-Gaeddert reports on the applicability of this model used in a dissimilar environment in Brazil. These findings suggest feasibility in the utilization of a SEM platform for a standardized intervention assessment tool.