LAUSR

Comparative studies of social quality (SQ) are intricately entangled with social indicators for conducting the theoretical analysis of social reality. Thus, how to utilize and compare the data of social indicators constitutes a crucial issue for SQ comparisons. Since social quality studies possess a strong synthetic feature of analysis, the convenient method of indicator studies by listing score ranking by country seems insufficient to meet the research needs. This study will explore a new way of performing SQ comparisons through a measure of mapping that compiles a different SQ profile and elucidates its clustering effect. Through utilizing World Value Surveys, we present data on SQ-related issues from this database and analyze them through a new technical design. In this way, we identify three SQ clusters and providing some explanations about the rationale of this classification, through which the particular method of SQ analysis and their policy implications are demonstrated.