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Part 1: Document Description
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Citation |
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Title: |
Vote Heterogeneity index |
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Identification Number: |
doi:10.17903/FK2/GATFHN |
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Distributor: |
Κατάλογος Δεδομένων SoDaNet |
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Date of Distribution: |
2022-05-29 |
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Version: |
2 |
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Bibliographic Citation: |
Schakel, Arjan, 2022, "Vote Heterogeneity index", https://doi.org/10.17903/FK2/GATFHN, Κατάλογος Δεδομένων SoDaNet, UNF:6:YFTWzhp5ChXCJvy1Iu/+lA== [fileUNF] |
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Holdings Information: |
https://doi.org/10.17903/FK2/GATFHN |
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Citation |
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Title: |
Vote Heterogeneity index |
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Identification Number: |
doi:10.17903/FK2/GATFHN |
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Authoring Entity: |
Schakel, Arjan (University of Bergen) |
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Software used in Production: |
SPSS |
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Distributor: |
Κατάλογος Δεδομένων SoDaNet |
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Date of Distribution: |
2022-05-29 |
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Holdings Information: |
https://doi.org/10.17903/FK2/GATFHN |
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Study Scope |
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Topic Classification: |
POLITICS, Elections |
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Abstract: |
Vote heterogeneity measures the degree of diversity in vote shares across different territorial units. It is calculated by dividing the standard deviation of vote shares by the average vote share across territorial units. In other words it measures the Coefficient of Variation. |
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Methodology and Processing |
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Data Access |
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File Description--f5745 |
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File: 2019 Regional Elections GR Sodanet.tab |
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Notes: |
UNF:6:YFTWzhp5ChXCJvy1Iu/+lA== |
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Label: |
Vote Heterogeneity Index.sps |
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Text: |
Syntax file to compute Vote Heterogeneity |
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Notes: |
application/x-spss-syntax |
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Label: |
Vote Heterogeneity Index.txt |
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Text: |
A text file with the algorithm to calculate Vote Heterogeneity Index |
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Notes: |
text/plain |