Sample size requirements for interval estimation of the intraclass kappa statistic
- 1 January 1999
- journal article
- research article
- Published by Taylor & Francis in Communications in Statistics - Simulation and Computation
- Vol. 28 (2) , 415-429
- https://doi.org/10.1080/03610919908813557
Abstract
Sample size requirements that achieve a prespecified expected width or lower limit for a confidence interval about the intraclass kappa statistic are supplied for the case of two raters and a dichotomous outcome measure. These results should be useful in the planning stages of an interobserver agreement study in which the focus is on estimation rather than hypothesis‐testing. In order to quantify the loss of precision obtained when choosing a dichotomous trait for this purpose, corresponding results are also provided for the case of a continuous outcome measureKeywords
This publication has 27 references indexed in Scilit:
- The case for confidence intervals in controlled clinical trialsControlled Clinical Trials, 1994
- A goodness‐of‐fit approach to inference procedures for the kappa statistic: Confidence interval construction, significance‐testing and sample size estimationStatistics in Medicine, 1992
- Sample sizes for constructing confidence intervals and testing hypothesesStatistics in Medicine, 1989
- Analysing Intraclass Correlation for Dichotomous VariablesJournal of the Royal Statistical Society Series C: Applied Statistics, 1988
- Confidence intervals for the interrater agreement measure kappaCommunications in Statistics - Theory and Methods, 1987
- Confidence intervals rather than P values: estimation rather than hypothesis testing.BMJ, 1986
- The Cost of DichotomizationApplied Psychological Measurement, 1983
- Inference About Weighted Kappa in the Non-Null CaseApplied Psychological Measurement, 1978
- A Coefficient of Agreement for Nominal ScalesEducational and Psychological Measurement, 1960
- Reliability of Content Analysis: The Case of Nominal Scale CodingPublic Opinion Quarterly, 1955