A Model-Based Approach to Measuring Expertise in Ranking Tasks

Abstract

We apply a cognitive modeling approach to the problem of measuring expertise on rank ordering tasks. In these tasks, people must order a set of items in terms of a given criterion. Using a cognitive model of behavior on this task that allows for individual differences in knowledge, we are able to infer people's expertise directly from the rankings they provide. We show that our model-based measure of expertise outperforms self-report measures, taken both before and after doing the task, in terms of correlation with the actual accuracy of the answers. Based on these results, we discuss the potential and limitations of using cognitive models in assessing expertise.


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