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Manifest Content Analysis×Intercoder Reliability×
领域CommunicationCommunication
方法族Process / pipelineProcess / pipeline
起源年份19521960
提出者Bernard Berelson; codified by Klaus KrippendorffFoundational coefficients by Cohen (1960) and Krippendorff (1970)
类型Systematic quantitative coding of explicit message contentProcedure and coefficients for certifying coding agreement
开创性文献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 ↗
别名Quantitative manifest coding, Surface-content analysis, Manifest-level content analysis, Berelson content analysisInter-rater reliability, Coder agreement assessment, Reliability of coding, Kodlayıcılar Arası Güvenirlik
相关54
摘要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方法对比: Manifest Content Analysis · Intercoder Reliability. 于 2026-06-24 检索自 https://scholargate.app/zh/compare