Mixed-methods analysis of multidimensional conditions for the human development index: A fuzzy set qualitative comparative analysis (FsQCA) study
By: Yagmur, Ayten Gürsoy, Sergen and Gunbayı, Ilhan
.
Material type:
BookPublisher: Journal of Social and Economic Development Description: 26(1), Apr, 2024: p.214-234.Subject(s): Human Development Index, Gender Equality Index, Corruption Perception Index, Human Freedom Index, FsQCA method, Fuzzy sets, Set theory, Causal analysis, Health indicators, Education indicators, Income indicators, Cross-national study, Country comparison, Social indicators, Configuration analysis, Development conditions, Global data, Comparative research, 2019 dataset, Institutional quality| Item type | Current location | Call number | Vol info | Status | Date due | Barcode |
|---|---|---|---|---|---|---|
Articles
|
Indian Institute of Public Administration | 26(1), Apr, 2024: p.214-234 | Available | AR132591 |
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.- Reproduced
https://link.springer.com/article/10.1007/s40847-023-00265-w


Articles
There are no comments for this item.