Results 11 to 20 of about 3,327 (217)
Investigating the Social Boundaries of Fairness by Modeling Ultimatum Game Responders’ Decisions with Multinomial Processing Tree Models [PDF]
GamesFairness in competitive games such as the Ultimatum Game is often defined theoretically. According to some of the literature, in which fairness is determined only based on resource allocation, a proposal splitting resources evenly (i.e., 5:5) is ...
Marco Biella, Max Hennig, Laura Oswald
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A Multinomial Processing Tree Model of RC Attachment [PDF]
Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, 2021 In the field of sentence processing, speakers’ preferred interpretation of ambiguous sentences is often determined using a variant of a discrete choice task, in which participants are asked to indicate their preferred meaning of an ambiguous sentence. We discuss participants’ degree of attentiveness as a potential source of bias and variability in such
Pavel Logacev, Noyan Dokudan
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Parameter identification in multinomial processing tree models [PDF]
Behavior Research Methods, 2010 Multinomial processing tree models form a popular class of statistical models for categorical data that have applications in various areas of psychological research. As in all statistical models, establishing which parameters are identified is necessary for model inference and selection on the basis of the likelihood function, and for the ...
Schmittmann, V.D. +3 more
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MPTinR: Analysis of multinomial processing tree models in R [PDF]
Behavior Research Methods, 2013 We introduce MPTinR, a software package developed for the analysis of multinomial processing tree (MPT) models. MPT models represent a prominent class of cognitive measurement models for categorical data with applications in a wide variety of fields. MPTinR is the first software for the analysis of MPT models in the statistical programming language R ...
Singmann, Henrik, Kellen, David
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Theoretical and empirical review of multinomial process tree modeling [PDF]
Psychonomic Bulletin & Review, 1999 We review a current and popular class of cognitive models called multinomial processing tree (MPT) models. MPT models are simple, substantively motivated statistical models that can be applied to categorical data. They are useful as data-analysis tools for measuring underlying or latent cognitive capacities and as simple models for representing and ...
W H, Batchelder, D M, Riefer
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Minimum description length model selection of multinomial processing tree models [PDF]
Psychonomic Bulletin & Review, 2010 Multinomial processing tree (MPT) modeling has been widely and successfully applied as a statistical methodology for measuring hypothesized latent cognitive processes in selected experimental paradigms. In this article, we address the problem of selecting the best MPT model from a set of scientifically plausible MPT models, given observed data.
Hao, Wu +2 more
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TreeBUGS: An R package for hierarchical multinomial-processing-tree modeling [PDF]
Behavior Research Methods, 2017 Multinomial processing tree (MPT) models are a class of measurement models that account for categorical data by assuming a finite number of underlying cognitive processes. Traditionally, data are aggregated across participants and analyzed under the assumption of independently and identically distributed observations.
Heck, Daniel W. +2 more
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How to Develop, Test, and Extend Multinomial Processing Tree Models: A Tutorial
Psychological Methods, 2022 Many psychological theories assume that observable responses are determined by multiple latent processes. Multinomial processing tree (MPT) models are a class of cognitive models for discrete responses that allow researchers to disentangle and measure such processes.
Oliver Schmidt +2 more
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Differential patterns of planning impairments in Parkinson's disease and sub-clinical signs of dementia? A latent-class model-based approach. [PDF]
PLoS ONE, 2012 Planning impairments mark a well-documented consequence of neurodegenerative diseases such as Parkinson's disease (PD). Recently, using the Tower of London task we demonstrated that, rather than being generally impaired, PD patients selectively fail when
Lena Köstering +3 more
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Bayesian Estimation of Multinomial Processing Tree Models with Heterogeneity in Participants and Items [PDF]
Psychometrika, 2015 Multinomial processing tree (MPT) models are theoretically motivated stochastic models for the analysis of categorical data. Here we focus on a crossed-random effects extension of the Bayesian latent-trait pair-clustering MPT model. Our approach assumes that participant and item effects combine additively on the probit scale and postulates ...
Matzke, D. +3 more
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