Krippendorff’s Family of Alpha Coefficients The results for Percentage agreement and the Holsti Index are the same when all coders code the same data segments. PA (Holsti) represents percentage of agreement between two coders A is the number of the two coders’ consensus decisions, and N1 and N2 are numbers of decisions the coders have made respectively. Like Percent Agreement, also the Holsti index does not take into account chance agreement. This is the case if coders set their own. The Holsti index is a variation of the percent agreement measure for situations where coders do not code precisely the same data segment. Percent Agreement (PA) = number of agreements / total number of segments The benefits of percentage agreement are that it is simple to calculate, and it can be used with any type of measurement scale. It is calculated as the number of times a set of ratings are the same, divided by the total number of units of observation that are rated, multiplied by 100. Percentage Agreement is the simplest measure of inter-coder agreement. Learn more about how to implement it in our “How to Documents”. In addition to Krippendorff’s alpha, you can use percent agreement or the Holsti index to measure inter-coder agreement. Klaus Krippendorff, one of the leading experts in this field, author of the book Content Analysis: An Introduction of Its Methodology, and the originator of the Krippendorff’s alpha coefficient. In developing the tool we worked closely together with Prof. Image documents are not supported.ĪTLAS.ti’s inter-coder agreement tool lets you assess the agreement of how multiple coders code a given body of data. In ATLAS.ti 8 and newer, you can test inter-coder agreement in text, audio and video documents. It would be fantastic if we could analyze the inter-coder agreement of our work. How does analysis of inter-coder agreement work?
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