References
1990). Maximum likelihood estimation of agreement in the constant predictive probability model, and its relation to Cohen’s kappa. Biometrics, 46, 293–302.
(2013). Underlying determinants driving agreement among coders. Quality & Quantity, 47, 2983–2997. doi: 10.1007/s11135-012-9807-z
(2014). Estimating intercoder reliability: A structural equation modeling approach. Quality & Quantity, 48, 2355–2369. doi: 10.1007/s11135-014-0034-7
(2015). Mistakes and how to avoid mistakes in using intercoder reliability indices. Methodology, 11, 13–22. doi: 10.1027/1614-2241/a000086
(2010). Recal: Intercoder reliability calculation as a web service. International Journal of Internet Science, 5, 20–33.Retrieved from http://www.ijis.net/ijis5_1/ijis5_1_freelon.pdf
(2008). Computing inter-rater reliability and its variance in the presence of high agreement. British Journal of Mathematical and Statistical Psychology, 61, 29–48. doi: 10.1348/000711006X126600
(2010). Handbook of inter-rater reliability-a definitive guide to measuring the extent of agreement among multiple raters. Gaithersburg, MD: Advanced Analytics, LLC.
(2016). On Krippendorff’s comments to Feng’s article entitled “mistakes and how to avoid mistakes in using intercoder reliability indices”. Personal communication.
(2007). Answering the call for a standard reliability measure for coding data. Communication Methods and Measures, 1(1), 77–89. doi: 10.1080/19312450709336664
(2004). Reliability in coding open-ended data: Lessons learned from HIV behavioral research. Field Methods, 16, 307–331. doi: 10.1177/1525822X04266540
(1970a). Bivariate agreement coefficients for reliability of data. Sociological Methodology, 2, 139–150. doi: 10.2307/270787
(1970b). Estimating the reliability, systematic error and random error of interval data. Educational and Psychological Measurement, 30, 61–70. doi: 10.1177/001316447003000105
(1980). Content analysis: An introduction to its methodology. London, UK: Sage Publications.
(2004). Reliability in content analysis. Some common misconceptions and recommendations. Human Communication Research, 30, 411–433. doi: 10.1111/j.1468-2958.2004.tb00738.x
(2011a). Agreement and information in the reliability of coding. Communication Methods and Measures, 5, 93–112. doi: 10.1080/19312458.2011.568376
(2011b). Computing Krippendorff’s alpha reliability. Departmental Papers (ASC) 43. Retrieved from http://repository.upenn.edu/cgi/viewcontent.cgi?article=1043&context=asc_papers
(2013). Commentary: A dissenting view on so-called paradoxes of reliability coefficients. Annals of the International Communication Association, 36, 481–499. doi: 10.1080/23808985.2013.11679143
(2016). Misunderstanding reliability. Methodology. European Journal of Research Methods for the Behavioral and Social Sciences, 12, 139–144. doi: 10.1027/1614-2241/a000119
(2002). Content analysis in mass communication: Assessment and reporting of intercoder reliability. Human Communication Research, 28, 587–604. doi: 10.1111/j.1468-2958.2002.tb00826.x
(1974). The spiral of silence a theory of public opinion. Journal of Communication, 24, 43–51. doi: 10.1111/j.1460-2466.1974.tb00367.x
(Oxford University Press. (2016). Reliability. Oxford, UK: Oxford University Press.
2002). An introduction to modern measurement theory. National Cancer Institute. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.207.3244&rep=rep1&type=pdf
(2002). Indexing systematic rater agreement with a latent-class model. Psychological Methods, 7, 384–395. doi: 10.1037/1082-989X.7.3.384
(1955). Reliability of content analysis: The case of nominal scale coding. Public Opinion Quarterly, 19, 321–325. doi: 10.1086/266577
(2012, August). A reliability index (AI) that assumes honest coders and variable randomness, Paper presented at the Association for Education in Journalism and Mass Communication, Chicago, IL.
(2013).
(Assumptions behind inter-coder reliability indices . In C. T. SalmonEd., Communication yearbook (Vol. 36, pp. 419–480). New York, NY: Routledge.2016, July). Spiral of just enough information-inverted u effect of title length on online read and relay. Paper presented at the IAMCR Conference, University of Leicester, Leicester, UK.
(2014).
(Development in research on political communication . In J. HongEd., New trends in communication studies (pp. 485–507). Beijing, China: Tsinghua University Press.