Comparer des méthodes

	Scott's Pi	Manifest Content Analysis
Domaine	Communication	Communication
Famille	Process / pipeline	Process / pipeline
Année d'origine	1955	1952
Auteur d'origine	William A. Scott	Bernard Berelson; codified by Klaus Krippendorff
Type	Chance-corrected agreement coefficient for two coders on nominal scales	Systematic quantitative coding of explicit message content
Source fondatrice	Scott, W. A. (1955). Reliability of content analysis: The case of nominal scale coding. Public Opinion Quarterly, 19(3), 321–325.	Krippendorff, K. (2004). Content Analysis: An Introduction to Its Methodology (2nd ed.). Thousand Oaks, CA: Sage. ISBN: 9780761915454
Alias	Scott pi, Scott's index of reliability, Pi reliability coefficient, Scott Pi Katsayısı	Quantitative manifest coding, Surface-content analysis, Manifest-level content analysis, Berelson content analysis
Apparentées	4	5
Résumé	Scott's pi is a chance-corrected coefficient of intercoder agreement for two coders working on a nominal scale, introduced by William Scott in 1955 specifically for content analysis. It improves on raw percent agreement by subtracting the agreement two coders would reach by chance, where chance is estimated from a single pooled distribution of categories shared by both coders rather than from each coder's separate marginals.	Manifest content analysis is a quantitative research technique that systematically counts the explicit, surface-level features of communication messages — words, sources, themes, images, or actors that are directly visible in the text or media artifact — according to a predefined coding scheme. Rooted in Bernard Berelson's classic definition of content analysis as the 'objective, systematic, and quantitative description of the manifest content of communication,' it is one of the foundational empirical methods of mass communication and media research.