When modeling the responses to true-false questions and minimum-competency MCQ, it may be useful to impose a lower asymptote on the dichotomous Rasch model. This lower asymptote is not established by a parameter to be estimated, but is defined by the construction of the test items.
Suppose that ki, a constant, is the probability that a respondent of infinitely low ability will select the "correct" answer to question i, of difficulty di. Then the Rasch model for the probability, Pni, of a correct response by person n of ability bn is:
The proportion correct, pr, for a person with r correct answers out of L is:
and the proportion correct, pi for item i, answered correctly by si persons out of N is
These proportions can be used directly in the PROX formulae (Best Test Design, Wright & Stone, 1979, chapter 2):
where
and the expansion factors, X and Y, are given by
John M. Linacre
PROX for guessing.Linacre J.M. Rasch Measurement Transactions, 1998, 12:3 p. 655.
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Rasch Measurement Transactions (free, online) | Rasch Measurement research papers (free, online) | Probabilistic Models for Some Intelligence and Attainment Tests, Georg Rasch | Applying the Rasch Model 3rd. Ed., Bond & Fox | Best Test Design, Wright & Stone |
Rating Scale Analysis, Wright & Masters | Introduction to Rasch Measurement, E. Smith & R. Smith | Introduction to Many-Facet Rasch Measurement, Thomas Eckes | Invariant Measurement: Using Rasch Models in the Social, Behavioral, and Health Sciences, George Engelhard, Jr. | Statistical Analyses for Language Testers, Rita Green |
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