An Analysis of Item Response Theory and Rasch Models Based on the Most Probable Distribution Method

Stefano Noventa (), Luca Stefanutti and Giulio Vidotto

Psychometrika, 2014, vol. 79, issue 3, 377-402

Abstract: The most probable distribution method is applied to derive the logistic model as the distribution accounting for the maximum number of possible outcomes in a dichotomous test while introducing latent traits and item characteristics as constraints to the system. The item response theory logistic models, with a particular focus on the one-parameter logistic model, or Rasch model, and their properties and assumptions, are discussed for both infinite and finite populations. Copyright The Psychometric Society 2014

Keywords: Rasch model; item response theory; most probable distribution (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1007/s11336-013-9348-y

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