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Dynamic Compressive Behavior of Graded Auxetic Lattice Metamaterials: A Combined Theoretical and Numerical Study. [PDF]

Materials (Basel)
Chen Z, Liu J, Li X, Zhou Y, Ou Z.
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A Gibbs‐INLA algorithm for multidimensional graded response model analysis

British Journal of Mathematical and Statistical Psychology, 2023
Abstract In this paper, we propose a novel Gibbs‐INLA algorithm for the Bayesian inference of graded response models with ordinal response based on multidimensional item response theory. With the combination of the Gibbs sampling and the integrated nested Laplace approximation (INLA), the new framework avoids the cumbersome tuning ...
Xiaofan Lin, Siliang Zhang, Yincai Tang, Xuan Li   +3 more
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THE GRADED UNFOLDING MODEL: A UNIDIMENSIONAL ITEM RESPONSE MODEL FOR UNFOLDING GRADED RESPONSES

ETS Research Report Series, 1996
ABSTRACTBinary or graded disagree‐agree responses to attitude items are often collected for the purpose of attitude measurement. Although such data are sometimes analyzed with cumulative measurement models, recent investigations suggest that unfolding models are more appropriate (Roberts, 1995; Van Schuur & Kiers, 1994).
James S. Roberts, James E. Laughlin
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Generalized Fiducial Inference for Logistic Graded Response Models

Psychometrika, 2017
Samejima’s graded response model (GRM) has gained popularity in the analyses of ordinal response data in psychological, educational, and health-related assessment. Obtaining high-quality point and interval estimates for GRM parameters attracts a great deal of attention in the literature.
Liu, Yang, Hannig, Jan
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Latent Trait Models and Dichotomization of Graded Responses

Psychometrika, 1986
This paper discusses the compatibility of the polychotomous Rasch model with dichotomization of the response continuum. It is argued that in the case of graded responses, the response categories presented to the subject are essentially an arbitrary polychotomization of the response continuum, ranging for example from total rejection or disagreement to ...
Jansen, P.G.W., Roskam, Edward
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Recovery of Graded Response Model Parameters

Applied Psychological Measurement, 2012
Markov chain Monte Carlo (MCMC) methods enable a fully Bayesian approach to parameter estimation of item response models. In this simulation study, the authors compared the recovery of graded response model parameters using marginal maximum likelihood (MML) and Gibbs sampling (MCMC) under various latent trait distributions, test lengths, and sample ...
Vincent Kieftenbeld, Prathiba Natesan
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The Graded Response Differential Discrimination Model Accounting for Extreme Response Style

Multivariate Behavioral Research, 2017
Extreme response style or, more generally, individual differences in response spacing have been shown to be an influential bias when analyzing questionnaire data. Recently a promising model adjusting for this bias - the differential discrimination model - has been proposed.
Dirk, Lubbe, Christof, Schuster
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Modeling of Impact Response of Composite Graded Structure

Volume 8: Mechanics of Solids, Structures and Fluids; Vibration, Acoustics and Wave Propagation, 2011
The work presented in this paper is a continuation of a study on exploring energy absorbing characteristics of a composite functionally graded structure found in a banana peel [1]. The impact behavior of peel structure under strain rates ranging from 4000 s−1 to 15000s−1 are studied.
M. Ali, J. Hoffman, J. Clark, S. Takak
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A graded response model for measuring person reliability

British Journal of Mathematical and Statistical Psychology, 2009
This paper extends Lumsden's fluctuation model to the graded response case and, from the resulting basic scaling model, develops a one‐dimensional item response theory graded response model (GRM). Under some additional assumptions, it follows that the item category response functions (ICRFs) can be closely approximated by the ICRFs of the standard GRM ...
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