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Showing 1 to 15 of 39 results Save | Export
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Deribo, Tobias; Kroehne, Ulf; Goldhammer, Frank – Journal of Educational Measurement, 2021
The increased availability of time-related information as a result of computer-based assessment has enabled new ways to measure test-taking engagement. One of these ways is to distinguish between solution and rapid guessing behavior. Prior research has recommended response-level filtering to deal with rapid guessing. Response-level filtering can…
Descriptors: Guessing (Tests), Models, Reaction Time, Statistical Analysis
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Kuijpers, Renske E.; Visser, Ingmar; Molenaar, Dylan – Journal of Educational and Behavioral Statistics, 2021
Mixture models have been developed to enable detection of within-subject differences in responses and response times to psychometric test items. To enable mixture modeling of both responses and response times, a distributional assumption is needed for the within-state response time distribution. Since violations of the assumed response time…
Descriptors: Test Items, Responses, Reaction Time, Models
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Luo, Jiaorong; Yang, Mingcheng; Wang, Ling – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
The increased Simon effect with increasing the ratio of congruent trials may be interpreted by both attention modulation and irrelevant stimulus-response (S-R) associations learning accounts, although the reversed Simon effect with increasing the ratio of incongruent trials provides evidence supporting the latter account. To investigate if…
Descriptors: Foreign Countries, Responses, Reaction Time, Accuracy
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Ranger, Jochen; Kuhn, Jörg Tobias; Ortner, Tuulia M. – Educational and Psychological Measurement, 2020
The hierarchical model of van der Linden is the most popular model for responses and response times in tests. It is composed of two separate submodels--one for the responses and one for the response times--that are joined at a higher level. The submodel for the response times is based on the lognormal distribution. The lognormal distribution is a…
Descriptors: Reaction Time, Tests, Statistical Distributions, Models
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Cheng, Xue Jun; McCarthy, Callum J.; Wang, Tony S. L.; Palmeri, Thomas J.; Little, Daniel R. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Upright faces are thought to be processed more holistically than inverted faces. In the widely used composite face paradigm, holistic processing is inferred from interference in recognition performance from a to-be-ignored face half for upright and aligned faces compared with inverted or misaligned faces. We sought to characterize the nature of…
Descriptors: Holistic Approach, Models, Comparative Analysis, Correlation
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Horn, Sebastian S.; Bayen, Ute J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
Event-based prospective memory (PM) involves remembering to perform intended actions after a delay. An important theoretical issue is whether and how people monitor the environment to execute an intended action when a target event occurs. Performing a PM task often increases the latencies in ongoing tasks. However, little is known about the…
Descriptors: Memory, Models, Language Processing, Reaction Time
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Huber, Stefan; Cornelsen, Sonja; Moeller, Korbinian; Nuerk, Hans-Christoph – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
In this article, we propose and evaluate a new model framework of parallel componential multi-symbol number processing, generalizing the idea of parallel componential processing of multi-digit numbers to the case of negative numbers by considering the polarity signs similar to single digits. In a first step, we evaluated this account by defining…
Descriptors: Numeracy, Number Concepts, Cognitive Processes, Eye Movements
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Bolsinova, Maria; Tijmstra, Jesper – Journal of Educational and Behavioral Statistics, 2016
Conditional independence (CI) between response time and response accuracy is a fundamental assumption of many joint models for time and accuracy used in educational measurement. In this study, posterior predictive checks (PPCs) are proposed for testing this assumption. These PPCs are based on three discrepancy measures reflecting different…
Descriptors: Reaction Time, Accuracy, Statistical Analysis, Robustness (Statistics)
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Ranger, Jochen; Kuhn, Jörg-Tobias – Journal of Educational and Behavioral Statistics, 2015
In this article, a latent trait model is proposed for the response times in psychological tests. The latent trait model is based on the linear transformation model and subsumes popular models from survival analysis, like the proportional hazards model and the proportional odds model. Core of the model is the assumption that an unspecified monotone…
Descriptors: Psychological Testing, Reaction Time, Statistical Analysis, Models
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Voskuilen, Chelsea; Ratcliff, Roger; McKoon, Gail – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
We examined the effects of aging on performance in an item-recognition experiment with confidence judgments. A model for confidence judgments and response time (RTs; Ratcliff & Starns, 2013) was used to fit a large amount of data from a new sample of older adults and a previously reported sample of younger adults. This model of confidence…
Descriptors: Aging (Individuals), Recognition (Psychology), Familiarity, Metacognition
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Dirix, Nicolas; Cop, Uschi; Drieghe, Denis; Duyck, Wouter – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
The present study assessed intra- and cross-lingual neighborhood effects, using both a generalized lexical decision task and an analysis of a large-scale bilingual eye-tracking corpus (Cop, Dirix, Drieghe, & Duyck, 2016). Using new neighborhood density and frequency measures, the general lexical decision task yielded an inhibitory…
Descriptors: Decision Making, Second Language Learning, Word Frequency, Native Language
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Tenison, Caitlin; Anderson, John R. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
A focus of early mathematics education is to build fluency through practice. Several models of skill acquisition have sought to explain the increase in fluency because of practice by modeling both the learning mechanisms driving this speedup and the changes in cognitive processes involved in executing the skill (such as transitioning from…
Descriptors: Skill Development, Mathematics Skills, Learning Processes, Markov Processes
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Mori, Kanetaka; Okamoto, Masahiko – Journal of Educational Psychology, 2017
We investigated how the updating function supports the integration process in solving arithmetic word problems. In Experiment 1, we measured reading time, that is, translation and integration times, when undergraduate and graduate students (n = 78) were asked to solve 2 types of problems: those containing only necessary information and those…
Descriptors: Foreign Countries, Undergraduate Students, Graduate Students, Mathematical Concepts
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Meiran, Nachshon; Pereg, Maayan; Kessler, Yoav; Cole, Michael W.; Braver, Todd S. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
Humans are characterized by an especially highly developed ability to use instructions to prepare toward upcoming events; yet, it is unclear just how powerful instructions can be. Although prior work provides evidence that instructions can be sufficiently powerful to proactively program working memory to execute stimulus-response (S-R)…
Descriptors: Responses, Cognitive Processes, Short Term Memory, Stimuli
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Declerck, Mathieu; Koch, Iring; Philipp, Andrea M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
The current study systematically examined the influence of sequential predictability of languages and concepts on language switching. To this end, 2 language switching paradigms were combined. To measure language switching with a random sequence of languages and/or concepts, we used a language switching paradigm that implements visual cues and…
Descriptors: Prediction, Code Switching (Language), Interference (Language), Models
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