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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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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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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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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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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On the role of recognition in consumer choice: A model comparison [PDF]
Judgment and Decision Making, 2014 One prominent model in the realm of memory-based judgments and decisions is the recognition heuristic. Under certain preconditions, it presumes that choices are based on recognition in a one-cue non-compensatory manner and that other information is ...
Benjamin E. Hilbig
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ABrox-A user-friendly Python module for approximate Bayesian computation with a focus on model comparison. [PDF]
PLoS ONE, 2018 We give an overview of the basic principles of approximate Bayesian computation (ABC), a class of stochastic methods that enable flexible and likelihood-free model comparison and parameter estimation.
Ulf Kai Mertens +2 more
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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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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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