Abstract
The interaction model, a generalization of the Rasch model (RM) for binary responses, retains many of the attractive features of the RM but does not assume local independence. Like the RM, the interaction model has simple sufficient statistics and a relatively straightforward interpretation. Computation of conditional maximum-likelihood estimates is a task of comparable difficulty to the corresponding computation for the Rasch model.
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© 2007 Springer Science + Business Media, LLC
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Haberman, S.J. (2007). The Interaction Model. In: Multivariate and Mixture Distribution Rasch Models. Statistics for Social and Behavioral Sciences. Springer, New York, NY. https://doi.org/10.1007/978-0-387-49839-3_13
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DOI: https://doi.org/10.1007/978-0-387-49839-3_13
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Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-32916-1
Online ISBN: 978-0-387-49839-3
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