Scaling and Harmonization in Early Factor Analysis with Public Sociological Data

The availability of broad and comprehensive public data pertinent to the development of social, including public health events has produced many in-sights and hypothesis that were in understanding the problems and producing effective responses. To allow comparison and analysis of different data points such as populations, groups, jurisdictions, etc., a range of methods and approaches was developed, among the most common being per capita metrics. Here we examine the assumptions and caveats that can be associated with this method and outline the directions in which it can be enhanced in the cases where its applicability can be limited due to the conditions and constraints of the problem.