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Kang, Hyeon-Ah; Zheng, Yi; Chang, Hua-Hua – Journal of Educational and Behavioral Statistics, 2020
With the widespread use of computers in modern assessment, online calibration has become increasingly popular as a way of replenishing an item pool. The present study discusses online calibration strategies for a joint model of responses and response times. The study proposes likelihood inference methods for item paramter estimation and evaluates…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Response Theory, Reaction Time
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Kuhfeld, Megan; Soland, James – Journal of Research on Educational Effectiveness, 2020
Educational stakeholders have long known that students might not be fully engaged when taking an achievement test and that such disengagement could undermine the inferences drawn from observed scores. Thanks to the growing prevalence of computer-based tests and the new forms of metadata they produce, researchers have developed and validated…
Descriptors: Metadata, Computer Assisted Testing, Achievement Tests, Reaction Time
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Jepma, Marieke; Wagenmakers, Eric-Jan; Nieuwenhuis, Sander – Cognition, 2012
People are able to use temporal cues to anticipate the timing of an event, enabling them to process that event more efficiently. We conducted two experiments, using the fixed-foreperiod paradigm (Experiment 1) and the temporal-cueing paradigm (Experiment 2), to assess which components of information processing are speeded when subjects use such…
Descriptors: Expectation, Cues, Reaction Time, Models
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McKoon, Gail; Ratcliff, Roger – Journal of Memory and Language, 2013
In the domain of discourse processing, it has been claimed that older adults (60-0-year-olds) are less likely to encode and remember some kinds of information from texts than young adults. The experiment described here shows that they do make a particular kind of inference to the same extent that college-age adults do. The inferences examined were…
Descriptors: Accuracy, Theory Practice Relationship, Young Adults, Inferences
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van Maanen, Leendert; van Rijn, Hedderik; Taatgen, Niels – Cognitive Science, 2012
This article discusses how sequential sampling models can be integrated in a cognitive architecture. The new theory Retrieval by Accumulating Evidence in an Architecture (RACE/A) combines the level of detail typically provided by sequential sampling models with the level of task complexity typically provided by cognitive architectures. We will use…
Descriptors: Sampling, Cognitive Processes, Long Term Memory, Short Term Memory
Bardhan, Neil Prodeep – ProQuest LLC, 2010
Artificial lexicons have previously been used to examine the time course of the learning and recognition of spoken words, the role of segment type in word learning, and the integration of context during spoken word recognition. However, in all of these studies the experimenter determined the frequency and order of the words to be learned. In three…
Descriptors: Evidence, Word Recognition, Dictionaries, Neighborhoods
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Ratcliff, Roger; Starns, Jeffrey J. – Psychological Review, 2009
A new model for confidence judgments in recognition memory is presented. In the model, the match between a single test item and memory produces a distribution of evidence, with better matches corresponding to distributions with higher means. On this match dimension, confidence criteria are placed, and the areas between the criteria under the…
Descriptors: Recognition (Psychology), Models, Test Items, Reaction Time
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Arntzen, Erik – Psychological Record, 2006
The present series of 4 experiments investigated the probability of responding in accord with equivalence in adult human participants as a function of increasing or decreasing delays in a many-to-one (MTO) or comparison-as-node and one-to-many (OTM) or sample-as-node conditional discrimination procedure. In Experiment 1, 12 participants started…
Descriptors: Probability, Testing, Reaction Time, Adults
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Ratcliff, Roger; Smith, Philip L. – Psychological Review, 2004
The authors evaluated 4 sequential sampling models for 2-choice decisions--the Wiener diffusion, Ornstein-Uhlenbeck (OU) diffusion, accumulator, and Poisson counter models--by fitting them to the response time (RT) distributions and accuracy data from 3 experiments. Each of the models was augmented with assumptions of variability across trials in…
Descriptors: Sampling, Reaction Time, Evaluation Criteria, Models