The results of Kappa and weighted Kappa are displayed with confidence limits of 95%. Kappa usually ranges from 0 to 1 with a value of 1 means perfect match. (Negative values are possible.) The higher the value of Kappa, the better the strength of the agreement. The weighted Kappa coefficient is 0.57 and the asymptomatic confidence interval is 95% (0.44, 0.70). This indicates that the agreement between the two radiologists is modest (and not as strong as the researchers had hoped). I wanted to know how I ran kappa and percentage agree on several variables and get the output all in one. Cohens Kappa Statistics , is a measure of the agreement between variables classified X and Y. For example, kappa can be used to compare the ability of different spleens to rank subjects in one group among others. Kappa can also be used to assess the consistency between alternative methods of categorical evaluation when new techniques are being studied.
The proportional agreement observed between X and Y is defined as: the Kappa coefficient of the Inter-Rater Reliability/KAPPA Cohen is a method of assessing the degree of agreement between two advisors. The Kappa weighted method is designed in such a way that it is partly, but not fully credited by advisors, in order to obtain the “near” response, so it should only be used if the degree of the agreement can be quantified. 2. The simple Kappa coefficient measures the degree of correspondence between two advisors. If Kappa is large (most would say .7 or more), this indicates a high degree of concordance. Example sas (19.3_agreement_Cohen.sas): two radiologists evaluated 85 patients for liver damage. The evaluations were designated on an ordinal scale as follows: Kappa is calculated from the frequencies observed and expected on the diagonal of a square contingency table. Suppose there are subjects on which X and Y are measured and assume that there are clear categorical results for X and Y. Fij indicates the frequency of the number of subjects with the kategoriale response for variable X and the jth kategoriale response for the variable Y. SAS FREQ offers an option for the creation of Cohens Kappa and weighted statistics of Kappa.
From the code above, the next number is created. For KAPPA statistics, use the `/AGREE>`. The result is the results of a standard DEPA analysis. The kappa-weighted analysis is requested with the “TEST WTKAP” option. fi is the sum for the line ith and f-i the sum for the column ith. The statistics of kappa are: id var1_A var2_B … var2_A… var2_B… var3_A… var3_B. And remember, KAPPA is only for the square quintingecy table.