Abstract
This volume has been written with the view that there are several larger perspectives that can be used (a) to throw light on the sometimes confusing array of models and data that one can find in the area of item response modeling, (b) to explore different contexts of data analysis than the ‘test data’ context to which item response models are traditionally applied, and (c) to place these models in a larger statistical framework that will enable the reader to use a generalized statistical approach and also to take advantage of the flexibility of statistical computing packages that are now available.
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De Boeck, P., Wilson, M. (2004). A framework for item response models. In: De Boeck, P., Wilson, M. (eds) Explanatory Item Response Models. Statistics for Social Science and Public Policy. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3990-9_1
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DOI: https://doi.org/10.1007/978-1-4757-3990-9_1
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