Subjective–Objective Method of Maximizing the Average Variance Extracted From Sub-indicators in Composite Indicators

This research presents an innovative method for constructing composite indicators: the Subjective–objective method of maximizing extracted variance (Sommev). Sommev’s hybrid weighting approach fills an important gap within a highly controversial area of the composite indicators’ literature, which cr...

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Veröffentlicht in:	Social indicators research 2024-11, Vol.175 (2), p.613-637
Hauptverfasser:	Libório, Matheus Pereira, Diniz, Alexandre Magno Alvez, Vieira, Douglas Alexandre Gomes, Ekel, Petr Iakovlevitch
Format:	Artikel
Sprache:	eng
Schlagworte:	Averages Cognitive bias Economic problems Human Geography Innovations Microeconomics Operational definitions Original Research Principal components analysis Public Health Quality of Life Research Social exclusion Social problems Social Sciences Sociology Statistical analysis Statistical methods Weighting
Online-Zugang:	Volltext
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