The Free Response Kappa provides an estimate of chance match in situations where only positive results are reported by advisors. Cohens coefficient Kappa () is a statistic used to measure reliability between advisors (and also the reliability of inter-raters) for qualitative (categorical) elements.  It is generally accepted that this is a more robust indicator than a simple percentage of the agreement calculation, since the possibility of a random agreement is taken into account. There are controversies around Cohens Kappa because of the difficulty of interpreting the indications of the agreement. Some researchers have suggested that it is easier, conceptually, to assess differences of opinion between objects.  For more details, see Restrictions. If patients can contribute to more than one observation, the data are grouped together. Yang et al  proposed a Kappa statistic based on the usual formula (po-pe)/(1-Pe), pô being a weighted average of cluster concordance (patients) and pe is derived from weighted investment weighted averages of the ratings of each rat. In this approach, Kappa has the same estimate for aggregated data as for cluster ignorance. Therefore, Basic Table 2 × 2 is also appropriate for estimating the agreement for aggregated data. In this article, we propose a variant of the Kappa statistic based on the characteristics of the classic kappa statis, when the number of negative evaluations can be considered important. In this case, the agreement does not depend on unknown data and can only be estimated on the basis of positive results.
This hands-free kappa is the proportion of all individual (2d) evaluations confirmed among all positive individual evaluations (b-c-2d). Historically, percentage match (number of chord results/total points) has been used to determine the reliability of Interraters. But a random arrangement on the basis of advice is always a possibility – just as a “correct” answer to a multiple-choice test is possible. Kappa`s statistics take this element into account. Hands-free kappa is calculated from the total number of observations (b and c) and positive (d) consistent observations made in all patients in 2d/(b -c-2d). In 84 body-wide magnetic resonance imaging procedures in children, evaluated by 2 independent counselors, Kappa`s statistics on the speaker were 0.820. The aggregation of results in areas of interest has led to an overestimation of the agreement beyond chance. Kappa – ((Observed Agreement) – ((Expected Agreement) / (A-B-C-D) – (expected agreement) in which X is a variable bin bin bin (p X, x -d) and D is a bin bin variable (1-p X, x -d), so that X-D is the total number of evaluation pairs (b-c-d).
Estimated derivatives and deviations can be calculated from observations: Step 1: Calculate in (the proportional agreement observed): 20 images were rated yes by both. 15 images were judged not by both. So, Po – number in agreement / total – (20 – 15) / 50 – 0.70. The validity of the free-reaction Kappa is based on a precise definition of consistent and contradictory results. This is true for every contract study, but for Cohens Kappa, z.B. if areas of interest are defined, mating is simple because it follows the definition of regions or study subjects. The paradigm of free reaction requires that the observations of 2 advisors be classified as correspondents or diskorsos.