Experimental validation of a multinomial processing tree model for analyzing eyewitness identification decisions [PDF]
Scientific Reports, 2022 To improve police protocols for lineup procedures, it is helpful to understand the processes underlying eyewitness identification performance. The two-high threshold (2-HT) eyewitness identification model is a multinomial processing tree model that ...
Kristina Winter +3 more
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Testing Interactions in Multinomial Processing Tree Models [PDF]
Frontiers in Psychology, 2019 Multinomial processing tree (MPT) models allow testing hypotheses on latent psychological processes that underlie human behavior. However, past applications of this model class have mainly been restricted to the analysis of main effects.
Beatrice G. Kuhlmann +2 more
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Measuring lineup fairness from eyewitness identification data using a multinomial processing tree model [PDF]
Scientific Reports, 2023 The mock-witness task is typically used to evaluate the fairness of lineups. However, the validity of this task has been questioned because there are substantial differences between the tasks for mock witnesses and eyewitnesses. Unlike eyewitnesses, mock
Nicola Marie Menne +3 more
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Can self-referential information improve directed forgetting? Evidence from a multinomial processing tree model. [PDF]
PLoS ONE, 2019 A large body of research has shown that self-referential processing can enhance an individual's memory of information. However, there are many arguments about how self-referential processing affects directed forgetting (DF).
Runzhou Wang, Yaowu Song, Xiaojun Zhao
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A Multinomial Processing Tree Model of the 2-back Working Memory Task. [PDF]
Comput Brain Behav, 2022 The n-back task is a widely used behavioral task for measuring working memory and the ability to inhibit interfering information. We develop a novel model of the commonly used 2-back task using the cognitive psychometric framework provided by Multinomial Processing Trees.
Lee MD, Mistry PK, Menon V.
europepmc +5 more sources
Validating a multinomial processing tree model for measuring confidence in lineups using a post-response feedback manipulation [PDF]
Cognitive ResearchConfidence in lineup responses is important in research and practice. Here we introduce the lineup confidence model, an extension of the well-validated two-high threshold eyewitness identification model.
Raoul Bell +2 more
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Multinomial processing tree models: An implementation [PDF]
Behavior Research Methods, 1999 Multinomial processing tree (MPT) models have been widely used by researchers in cognitive psychology. This paper introduces MBT.EXE, a computer program that makes MPT easy to use for researchers. MBT.EXE implements the statistical theory developed by Hu and Batchelder (1994).
Xiangen Hu, Hu Xiangen
exaly +3 more sources
On the minimum description length complexity of multinomial processing tree models [PDF]
Journal of Mathematical Psychology, 2010 Multinomial processing tree (MPT) modeling is a statistical methodology that has been widely and successfully applied for measuring hypothesized latent cognitive processes in selected experimental paradigms. This paper concerns model complexity of MPT models.
Hao Wu +2 more
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Random Effects Multinomial Processing Tree Models: A Maximum Likelihood Approach
Psychometrika, 2023 The present article proposes and evaluates marginal maximum likelihood (ML) estimation methods for hierarchical multinomial processing tree (MPT) models with random and fixed effects. We assume that an identifiable MPT model with S parameters holds for each participant.
Steffen Nestler +2 more
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Selecting learning partners: memory for participation and competence [PDF]
Cognitive ResearchRemembering information about others is important but challenging in various social contexts. For instance, in long-term collaborative educational settings, students often need to choose peers for academic support.
Oktay Ülker, Daniel Bodemer
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