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In statistics, intra-rater reliability is the degree of agreement among repeated administrations of a diagnostic test performed by a single rater. [ 1 ] [ 2 ] Intra-rater reliability and inter-rater reliability are aspects of test validity .
Cohen's kappa coefficient (κ, lowercase Greek kappa) is a statistic that is used to measure inter-rater reliability (and also intra-rater reliability) for qualitative (categorical) items. [1] It is generally thought to be a more robust measure than simple percent agreement calculation, as κ takes into account the possibility of the agreement ...
This includes intra-rater reliability. Inter-method reliability assesses the degree to which test scores are consistent when there is a variation in the methods or instruments used. This allows inter-rater reliability to be ruled out. When dealing with forms, it may be termed parallel-forms reliability. [6]
Fleiss' kappa is a generalisation of Scott's pi statistic, [2] a statistical measure of inter-rater reliability. [3] It is also related to Cohen's kappa statistic and Youden's J statistic which may be more appropriate in certain instances. [4]
variables are controlled for.6 In one example of thiskindoftest,tomeasurelinediscrimination, doi: 10.1377/hlthaff.2011.0077 HEALTH AFFAIRS 30, NO. 5 (2011): 852–862 ©2011 Project HOPE— The People-to-People Health Foundation, Inc. Paul Mohai(pmohai@umich.edu) is a professor in the School of Natural Resources and Environment and a faculty
Single measures: even though more than one measure is taken in the experiment, reliability is applied to a context where a single measure of a single rater will be performed; Average measures: the reliability is applied to a context where measures of k raters will be averaged for each subject. Consistency or absolute agreement:
(A) Inter-Rater reliability: Inter-Rater reliability is estimate of agreement between independent raters. This is most useful for subjective responses. Cohen's Kappa, Krippendorff's Alpha, Intra-Class correlation coefficients, Correlation coefficients, Kendal's concordance coefficient, etc. are useful statistical tools. (B) Test-Retest ...
Because the evaluation is subjective, this can result in both inter-rater or intra-rater reliability. [4] When conducting clinical trials, ensuring rating consistency is important, but can prove to be quite difficult to obtain.