This collusion detection (test cheating) index simply calculates the number of responses in common between a given pair of examinees.  For example, both answered ‘B’ to a certain item regardless of whether it was correct or incorrect.  There is no probabilistic evaluation that can be used to flag examinees.  However, it could be of good use from a descriptive or investigative perspective.  It has a major flaw in that we expect it to be very high for high-ability examinees.  If two smart examinees both get 99/100 correct, the minimum RIC they could have is 98/100.  Even if they have never met each other and have no possibility of collusion or cheating.

Note that RIC is not standardized in any way, so its range and relevant flag cutoff will depend on the number of items in your test, and how much your examinee responses vary.  For a 100-item test, you might want to set the flag at 90 items.  But for a 50-item test, this is obviously irrelevant, and you might want to set it at 45.

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Nathan Thompson earned his PhD in Psychometrics from the University of Minnesota, with a focus on computerized adaptive testing. His undergraduate degree was from Luther College with a triple major of Mathematics, Psychology, and Latin. He is primarily interested in the use of AI and software automation to augment and replace the work done by psychometricians, which has provided extensive experience in software design and programming. Dr. Thompson has published over 100 journal articles and conference presentations, but his favorite remains