Loglinear representations of multivariate Bernoulli Rasch models

DOI10.1348/2044-8317.002000zbMath1218.62127OpenAlexW2108015543WikidataQ43521536 ScholiaQ43521536MaRDI QIDQ3018642

David J. Hessen

Publication date: 27 July 2011

Published in: British Journal of Mathematical and Statistical Psychology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1348/2044-8317.002000

Mathematics Subject Classification ID

Related Items (3)

Fitting and testing log-linear subpopulation models with known support ⋮ A Gibbs sampler for the (extended) marginal Rasch model ⋮ People born in the Middle East but residing in the Netherlands: invariant population size estimates and the role of active and passive covariates

Uses Software

• SPSS

Cites Work

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• Characterizing the manifest probabilities of latent trait models
• Loglinear Rasch model tests
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• Maximum likelihood estimates in exponential response models
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• A goodness of fit test for the Rasch model
• The Dutch Identity: a new tool for the study of item response models
• Limits on log odds ratios for unidimensional item response theory models
• Consistent estimation in the Rasch model based on nonparametric margins
• Semiparametric Estimation in the Rasch Model and Related Exponential Response Models, Including a Simple Latent Class Model for Item Analysis

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