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In statistics, inter-rater reliability (also called by various similar names, such as inter-rater agreement, inter-rater concordance, inter-observer reliability, inter-coder reliability, and so on) is the degree of agreement among independent observers who rate, code, or assess the same phenomenon.
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 ...
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]
The concordance correlation coefficient is nearly identical to some of the measures called intra-class correlations.Comparisons of the concordance correlation coefficient with an "ordinary" intraclass correlation on different data sets found only small differences between the two correlations, in one case on the third decimal. [2]
Measurements are gathered from a single rater who uses the same methods or instruments and the same testing conditions. [4] 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 ...
Cicchetti (1994) [19] gives the following often quoted guidelines for interpretation for kappa or ICC inter-rater agreement measures: Less than 0.40—poor. Between 0.40 and 0.59—fair. Between 0.60 and 0.74—good. Between 0.75 and 1.00—excellent. A different guideline is given by Koo and Li (2016): [20] below 0.50: poor; between 0.50 and 0 ...
Krippendorff's alpha coefficient, [1] named after academic Klaus Krippendorff, is a statistical measure of the agreement achieved when coding a set of units of analysis.. Since the 1970s, alpha has been used in content analysis where textual units are categorized by trained readers, in counseling and survey research where experts code open-ended interview data into analyzable terms, in ...