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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]
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.
Kappa statistics; Klecka's tau; Krippendorff's Alpha; Kuipers performance index; Matthews correlation coefficient; Phi coefficient; Press' Q; Renkonen similarity index; Prevalence adjusted bias adjusted kappa; Sakoda's adjusted Pearson's C; Scott's Pi; Sørensen similarity index; Stouffer's Z; True skill statistic; Tschuprow's T; Tversky index ...
Scott's pi (named after William A Scott) is a statistic for measuring inter-rater reliability for nominal data in communication studies.Textual entities are annotated with categories by different annotators, and various measures are used to assess the extent of agreement between the annotators, one of which is Scott's pi.
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 ...
Cohen's kappa measures the agreement between two raters who each classify N items into C mutually exclusive categories. The definition of is =, where p o is the relative observed agreement among raters, and p e is the hypothetical probability of chance agreement, using the observed data to calculate the probabilities of each observer randomly selecting each category.
Fleiss' kappa; Fleming–Viot process; Flood risk assessment; Floor effect; Focused information criterion; Fokker–Planck equation; Folded normal distribution; Forecast bias; Forecast error; Forecast skill; Forecasting; Forest plot; Fork-join queue; Formation matrix; Forward measure; Foster's theorem; Foundations of statistics; Founders of ...
The FIA Formula 3 Championship season consists of a series of races, divided to Feature (long distance) and Sprint (short races). Each winner is presented with a trophy and the results of each race are combined to determine two annual Championships, one for drivers and one for teams.