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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Joint European Value Survey/World Value Survey (Wave 2017-2022) SPSS variable analysis for three environmental impact country groups

Authors: Fernández-Aballí Altamirano, Ana; Fernández-Aballí Altamirano, Carlos;

Joint European Value Survey/World Value Survey (Wave 2017-2022) SPSS variable analysis for three environmental impact country groups

Abstract

Cramér’s V analysis on 591 categorical variables from the EVS/WVS to identify statistically significant differences in values and beliefs across a selection of high and very high human development countries with low, middle and high environmental impact. Countries were selected from the Global Footprint Network Open Data Platform (Footprint Data Foundation, York University Ecological Footprint Initiative and Global Footprint Network, 2021) and the Sustainable Development Index (Hickel, 2020). Country grouping and conceptual set-up by the authors. The use of SPSS was outsourced to and conducted by Martin Couto. 

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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