Publicación: A dominance variant under the Multi-Unidimensional Pairwise-Preference framework: Model formulation and Markov Chain Monte Carlo estimation
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Fecha
2016-08-13
Autores
Leenen, Iwin
Abad, Francisco
Hontangas, Pedro
Torre, Jimmy de la
Ponsoda, Vicente
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Derechos de acceso
info:eu-repo/semantics/openAccess
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Editor
Sage
Resumen
Forced-choice questionnaires have been proposed as a way to control some response biases associated with traditional questionnaire formats (e.g., Likert-type scales). Whereas classical scoring methods have issues of ipsativity, item response theory (IRT) methods have been claimed to accurately account for the latent trait structure of these instruments. In this article, the authors propose the multi-unidimensional pairwise preference two-parameter logistic (MUPP-2PL) model, a variant within Stark, Chernyshenko, and Drasgow’s MUPP framework for items that are assumed to fit a dominance model. They also introduce a Markov Chain Monte Carlo (MCMC) procedure for estimating the model’s parameters. The authors present the results of a simulation study, which shows appropriate goodness of recovery in all studied conditions. A comparison of the newly proposed model with a Brown and Maydeu’s Thurstonian IRT model led us to the conclusion that both models are theoretically very similar and that the Bayesian estimation procedure of the MUPP-2PL may provide a slightly better recovery of the latent space correlations and a more reliable assessment of the latent trait estimation errors.
An application of the model to a real data set shows convergence between the two estimation procedures. However, there is also evidence that the MCMC may be advantageous regarding the item parameters and the latent trait correlations.
Descripción
La versión registrada de este artículo, publicado por primera vez en Applied Psychological Measurement, 40(7), 500-516, está disponible en línea en el sitio web del editor: https://doi.org/10.1177/0146621616662226
The registered version of this article, first published in Applied Psychological Measurement, 40(7), 500-516, is available online at the publisher's website: https://doi.org/10.1177/0146621616662226
Categorías UNESCO
Palabras clave
forced-choice questionnaires, ipsative scores, Bayesian estimation, MCMC, multidimensional IRT
Citación
Morillo, D., Leenen, I., Abad, F. J., Hontangas, P., de la Torre, J., & Ponsoda, V. (2016). A Dominance Variant Under the Multi-Unidimensional Pairwise-Preference Framework: Model Formulation and Markov Chain Monte Carlo Estimation. Applied Psychological Measurement, 40(7), 500-516. https://doi.org/10.1177/0146621616662226
Centro
Facultades y escuelas::Facultad de Psicología
Departamento
Metodología de las Ciencias del Comportamiento