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From | "Barth Riley" <BarthRiley@comcast.net> |
To | <statalist@hsphsun2.harvard.edu> |
Subject | st: Probability distribution for a runs test of sequentially administered items |
Date | Thu, 4 Mar 2010 16:42:43 -0600 |
Dear Statalist I am exploring the possibility of using a Runs test to assess whether a set of sequentially administered item responses (i.e., as in a computerized adaptive test) is "in process" (with alternating correct/incorrect responses towards the end of the test) or out of process (reflecting aberrant responding, such as guessing or specialized knowledge). To do this, I would like to apply a probability distribution for the run length (number of consecutive pass/yes or fail/no responses) one would expect at a given point during the testing given that the respondent were answering the items as expected (in process). I was wondering if such a probability distribution already exists (and if so, what is it?) or if I would have to derive it via simulation. Barth * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/