The generalized Logit-Linear Item Response Model for Binary-Designed Items |
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Authors: | Javier Revuelta |
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Institution: | (1) Department of Social Psychology and Methodology, Autonoma University of Madrid, 28049 Madrid, Spain |
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Abstract: | This paper introduces the generalized logit-linear item response model (GLLIRM), which represents the item-solving process
as a series of dichotomous operations or steps. The GLLIRM assumes that the probability function of the item response is a
logistic function of a linear composite of basic parameters which describe the operations, and the coefficients depend on
three design matrices X, Y and Z. The GLLIRM provides a tool for testing hypotheses on the item-solving process and generalizes existing models. An empirical
application is included, in which the model is applied to evaluate sources of difficulty and pairwise item interactions in
a logical analysis test.
This research was supported by the Comunidad de Madrid grant CCG06-UAM/ESP-0043. |
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Keywords: | generalized logit-linear item response model design matrices linear restrictions item response theory |
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