A Bayesian index of association: comparison with other measures and performance

The article discusses a Bayesian measure of association, B-index, and compares it with the other existing measures of agreement, association, and similarity, both chance-corrected and non-corrected: Scott’s π, Krippendorff’s α, Cohen’s κ, Bennett, Alpert & Goldstein’s S, Cosine similarity, and t...

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Veröffentlicht in:Quality & quantity Jg. 58; H. 1; S. 277 - 305
1. Verfasser: Oleinik, Anton
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Dordrecht Springer Netherlands 01.02.2024
Springer
Springer Nature B.V
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ISSN:0033-5177, 1573-7845
Online-Zugang:Volltext
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Zusammenfassung:The article discusses a Bayesian measure of association, B-index, and compares it with the other existing measures of agreement, association, and similarity, both chance-corrected and non-corrected: Scott’s π, Krippendorff’s α, Cohen’s κ, Bennett, Alpert & Goldstein’s S, Cosine similarity, and the Jaccard similarity coefficient. PageRank adapted to particularities of annotation is also added to this list. Two versions of B-index are considered: with the informative and non-informative priors. An algorithm for calculating B-index written in pseudocode is provided. Particular attention is devoted to the uses of those measures in content analysis, communication studies, computational linguistics, psychology, computer science and network science. Real-world data gathered using an online platform for content analysis allowed comparing the behavior of all eight measures included in the scope of analysis. Three short texts (164 data points/sentences in total) were coded by 66 annotators. The behaviors of B-index with the non-informative prior and Bennett, Alpert & Goldstein’s S have some common patterns.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:0033-5177
1573-7845
DOI:10.1007/s11135-023-01639-2