A method comparison study is typically concerned with evaluating the agreement between a "new" method against an "established" method for measuring the same quantity. Various statistical indices have been advocated for measuring the extent to which two methods give identical readings, that is, absol
On the Measure of Agreement Between Two Raters
β Scribed by Dr. E. Tejumola Jolayemi
- Publisher
- John Wiley and Sons
- Year
- 1990
- Tongue
- English
- Weight
- 361 KB
- Volume
- 32
- Category
- Article
- ISSN
- 0323-3847
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
The degree of agreement between two raters is reβexamined. An alternative statistic which uses the chiβsquare distribution is proposed. We conclude that this statistic is better than the usual kβstatistic when the classification variable is at least ordinal.
π SIMILAR VOLUMES
The intraclass correlation coefficient (r,) has been advocated as a statistic for assessing agreement or consistency between two methods of measurement, in conjunction with a significance test of the difference between means obtained by the two methods. We show that neither technique is appropriate
We present a method to test the agreement between two multidimensional empirical distributions which is not restricted to work with projections in fewer dimensions due to the lack of data, and with the relevant fact that it is free of binning. The method, which can be successfully implemented on lay
The kappa index ie usually used for measuring the agreement between two observere when the scale ie nominal. A modifioation of Cohen's kappa index waa given by Krauth. The new estimator was biased and ita large sample variance was obtained. An alternative estimator is developed here It is a ratio ee