Módszerek összehasonlítása

	Media Richness Analysis	Intercoder Reliability	Manifest Content Analysis
Tudományterület	Communication	Communication	Communication
Módszercsalád	Process / pipeline	Process / pipeline	Process / pipeline
Keletkezés éve	1986	1960	1952
Megalkotó	Richard L. Daft & Robert H. Lengel	Foundational coefficients by Cohen (1960) and Krippendorff (1970)	Bernard Berelson; codified by Klaus Krippendorff
Típus	Framework and method for assessing channel richness vs. task equivocality	Procedure and coefficients for certifying coding agreement	Systematic quantitative coding of explicit message content
Alapmű	Daft, R. L., & Lengel, R. H. (1986). Organizational information requirements, media richness and structural design. Management Science, 32(5), 554–571.	Hayes, A. F., & Krippendorff, K. (2007). Answering the call for a standard reliability measure for coding data. Communication Methods and Measures, 1(1), 77–89.	Krippendorff, K. (2004). Content Analysis: An Introduction to Its Methodology (2nd ed.). Thousand Oaks, CA: Sage. ISBN: 9780761915454
Alternatív nevek	Media richness theory analysis, Information richness analysis, Channel richness assessment, Ortam Zenginliği Analizi	Inter-rater reliability, Coder agreement assessment, Reliability of coding, Kodlayıcılar Arası Güvenirlik	Quantitative manifest coding, Surface-content analysis, Manifest-level content analysis, Berelson content analysis
Kapcsolódó	3	4	5
Összefoglaló	Media richness analysis applies Daft and Lengel's media richness theory to evaluate communication channels by their capacity to carry rich information and to assess how well a channel fits the equivocality of the task at hand. Rooted in organizational communication, it provides criteria — feedback immediacy, multiplicity of cues, language variety, and personal focus — for ranking channels from lean (a memo) to rich (face-to-face) and for diagnosing whether managers and teams are matching channel to message appropriately.	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.	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.