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so weve seen in a previous video tutorial how to conduct an attribute argument analysis for binary data in this video tutorial we see how to conduct this analysis for nominal data so we refer to nominal data when the data has more than two possible responses and those responses do not have any order so lets talk about this scenario when the agents receive a request from the customer they enter the type of request into the database but in many cases the request is not always easy to interpret therefore the agents have some difficulty classifying the request you want to quantify the ability of the agents to accurately repeat their classification decisions and then you decide to conduct an attribute agreement analysis for nominal data so whats the method for this analysis first you need to randomly select three appraisers and have them classify some requests and then you will have to repeat the experiment a couple of weeks or even one month later with the same set of questions so after
