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    Mixed-methods analysis of multidimensional conditions for the Human Development Index: a fuzzy set qualitative comparative analysis (FsQCA) study
    (Springer India, 2024) Yagmur, Ayten; Gursoy, Sergen; Gunbayi, Ilhan
    The aim of this study was to determine whether the conditions of origin (health, education, income) for the Human Development Index as well as the conditions of the Gender Equality Index, Corruption Perception Index, and Human Freedom Index created causal results. Various configurations of parameters were analyzed using set theory. Specifically, fuzzy sets qualitative comparative analysis (FsQCA) method was used. Using data from different databases for 2019, 143/147 countries were included in the study. As a result of the research, six most likely configurations for human development conditions emerged which are summarized.