Results 1 to 10 of about 50 (49)
Frontiers in Psychology, 2013 AbstractRasch’s unidimensional models for measurement show how to connect object measures (e.g., reader abilities), measurement mechanisms (e.g., machine-generated cloze reading items), and observational outcomes (e.g., counts correct on reading instruments).
A. Jackson Stenner +3 more
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The Rasch Model as a Loglinear Model [PDF]
Applied Psychological Measurement, 1981 The Rasch model is formulated as a loglinear model. The goodness of fit and parameter estimates of the Rasch model can be obtained using the itera tive proportional fitting algorithm for loglinear models. It is shown in an example that the relation between the estimates of the iterative proportional fitting algorithm and the unconditional maximum ...
Mellenbergh, Gideon J., Vijn, Pieter
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Rasch Model for Assessing Propensity to Entomophagy [PDF]
Sustainability, 2021 The Food and Agriculture Organization of the United Nations supports the production of edible insects as a promising and sustainable source of nutrients to meet the increasing demand for animal-derived products by the growing world population. Even if insects are part of the diet of more than two billion people worldwide, the practice of eating insects
Luca Iseppi +5 more
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Loglinear Rasch Model Tests [PDF]
Psychometrika, 1984 Existing statistical tests for the fit of the Rasch model have been criticized, because they are only sensitive to specific violations of its assumptions. Contingency table methods using loglinear models have been used to test various psychometric models.
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Regularized Mixture Rasch Model
Information, 2022 The mixture Rasch model is a popular mixture model for analyzing multivariate binary data. The drawback of this model is that the number of estimated parameters substantially increases with an increasing number of latent classes, which, in turn, hinders the interpretability of model parameters.
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Model Selection for Multilevel Mixture Rasch Models [PDF]
Applied Psychological Measurement, 2018 Mixture item response theory (MixIRT) models can sometimes be used to model the heterogeneity among the individuals from different subpopulations, but these models do not account for the multilevel structure that is common in educational and psychological data.
Sedat Sen, Allan S. Cohen, Seock-Ho Kim
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Applying the Rasch Model [PDF]
International Journal of Testing, 2001 W.E. van der Linden +1 more
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Modelling Missingness with a Rasch-Type model
, 2011 In this paper we focus on a model-based approach to the treatment of missing data due to examinées' nonresponse, in the context of Item Response Theory (IRT). With model-based approach we mean that item nonresponses are to be included in the analysisindeed we assume that nonresponses are caused by a spécifie latent trait, summarizing the response ...
Bertoli Barsotti L, PUNZO, ANTONIO
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Rasch Models with Exchangeable Rows and Columns
, 2003 Abstract The article studies distributions of doubly infinite binary matrices with exchangeable rows and columns which satisfy the further property that the probability of any m x n submatrix is a function of the row and column sums of that matrix.
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Mining exceptional Rasch models
BehaviormetrikaAbstract The detection of differential item function (DIF) is a crucial task in item response theory modeling. In recent years, machine learning (ML) techniques are increasingly used for this task, for example, using model-based recursive partitioning (MOB) techniques. For example, Rasch trees are a combination of MOB and Rasch models.
Kiefer, Christoph, Sengewald, M.-A.
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