Hello Krystal, Fleiss` Kappa only deals with categorical data. You`re dealing with digital data. Two possible alternatives are ICC and Gwets AC2. Both are covered on the website and software of La Real Statistics. Charles Now, since you did the reliability analysis… In the next section, we show you how to interpret the results of a Fleiss-Kappa analysis. After carrying out the reliability analysis… In the previous section, the table of the following Cappa is displayed in the IBM SPSS Statistics Viewer, which contains the value of Fleiss` Kappa and other related statistics: I have a question: In my study, several Rater have analyzed surgical videos and pathologies classified on a recognized numerical scale (ordinal). I have two categories of advisors (expert and beginner).
I would like to compare the weighted agreement between the two groups and also between the whole group. In addition, I use a kappa-weighted cohens for intra-rater tuning. What would be the appropriate function for a balanced agreement between the two groups and for the group as a whole? If you`re not sure how you`re going to interpret the Kappas results for certain categories, our expanded fleiss` Kappa guide, in the laerd Statistics members section, contains a section devoted to interpreting these different cappa. You can access this extended guide by subscribe to Laerd Statistics. However, to continue with this introductory guide, go to the next section, where we will explain how to report on the results of a Fleiss Kappa analysis. The test statistics zj -s.e. (s.) and z-s.e. are usually reconciled by a standard distribution that allows us to calculate a p value and a confidence interval. Like what. B the 1-Î± confidence interval for Kappa is approached, the police having conducted an experiment during which three police officers were randomly selected from all available local police officers with about 100 police officers.
These three police offers were invited to view a video clip of a person in a clothing store (i.e. people who are looked at in the clothing store are the targets that are evaluated). This video clip captured the movement of one person from the moment they entered the store until they left the store. At the end of the clip, each of the three police officers was asked to record (i.e. the rate) if they considered the person`s behaviour to be “normal,” “unusual but not suspicious” or “suspicious” (i.e., three categories of nominal response variables behavioural_assessment). Since there must be an independence of observations, which is one of Fleiss` Kappa`s fundamental assumptions/requirements, as has already been explained, each police officer evaluated the video clip in a room where he could not influence the decision of the other police officers to avoid possible bias. P values (and confidence intervals) show us that all Kappa values are very different from zero.