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Manifest Content Analysis×Intercoder Reliability×
分野CommunicationCommunication
系統Process / pipelineProcess / pipeline
提唱年19521960
提唱者Bernard Berelson; codified by Klaus KrippendorffFoundational coefficients by Cohen (1960) and Krippendorff (1970)
種類Systematic quantitative coding of explicit message contentProcedure and coefficients for certifying coding agreement
原典Krippendorff, K. (2004). Content Analysis: An Introduction to Its Methodology (2nd ed.). Thousand Oaks, CA: Sage. ISBN: 9780761915454Hayes, A. F., & Krippendorff, K. (2007). Answering the call for a standard reliability measure for coding data. Communication Methods and Measures, 1(1), 77–89. DOI ↗
別名Quantitative manifest coding, Surface-content analysis, Manifest-level content analysis, Berelson content analysisInter-rater reliability, Coder agreement assessment, Reliability of coding, Kodlayıcılar Arası Güvenirlik
関連54
概要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.Intercoder reliability is the degree to which independent coders, applying the same coding scheme to the same content, arrive at the same coding decisions. In content analysis it is the central guarantee that findings reflect the messages rather than the idiosyncrasies of who happened to code them, and reporting a chance-corrected reliability coefficient is a near-universal requirement for publication in communication research.
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ScholarGate手法を比較: Manifest Content Analysis · Intercoder Reliability. 2026-06-24に以下より取得 https://scholargate.app/ja/compare