Abstract
Item response modeling is used for analyzing psychometric data, quality of life data, and can even be used analyzing diagnostic tests. It provides better precision than does the classical linear analysis. An example with simulated data is given.
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Cleophas, T.J., Zwinderman, A.H. (2012). Item Response Modeling Instead of Classical Linear Analysis of Questionnaires. In: Statistical Analysis of Clinical Data on a Pocket Calculator, Part 2. SpringerBriefs in Statistics. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4704-3_13
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DOI: https://doi.org/10.1007/978-94-007-4704-3_13
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Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-4703-6
Online ISBN: 978-94-007-4704-3
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