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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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Context and target recollection for words and pictures in young adults with developmental dyslexia
Frontiers in Psychology, 2022 IntroductionThe specificity of memory functioning in developmental dyslexia is well known and intensively studied. However, most research has been devoted to working memory, and many uncertain issues about episodic memory remain practically unexplored ...
Michał Obidziński, Marek Nieznański
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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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PLoS ONE, 2021 The ReAL model is a multinomial processing tree model that quantifies the contribution of three qualitatively distinct processes-recoding, associations, and accuracy-to responses on the implicit association test (IAT), but has only been validated on a ...
Jimmy Calanchini +2 more
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Frontiers in Psychology, 2022 Having previously seen an item helps uncover the item another time, given a perceptual or cognitive cue. Oftentimes, however, it may be difficult to quantify or test the existence and size of a perceptual or cognitive effect, in general, and a priming ...
Oliver Y. Chén +11 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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Separating conditional and unconditional cooperation in a sequential Prisoner's Dilemma game. [PDF]
PLoS ONE, 2017 Most theories of social exchange distinguish between two different types of cooperation, depending on whether or not cooperation occurs conditional upon the partner's previous behaviors.
Raoul Bell, Laura Mieth, Axel Buchner
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Detecting Spam Email With Machine Learning Optimized With Bio-Inspired Metaheuristic Algorithms
IEEE Access, 2020 Electronic mail has eased communication methods for many organisations as well as individuals. This method is exploited for fraudulent gain by spammers through sending unsolicited emails. This article aims to present a method for detection of spam emails
Simran Gibson +3 more
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