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Jonker, Tanya R.; MacLeod, Colin M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
Remembering the order of a sequence of events is a fundamental feature of episodic memory. Indeed, a number of formal models represent temporal context as part of the memory system, and memory for order has been researched extensively. Yet, the nature of the code(s) underlying sequence memory is still relatively unknown. Across 4 experiments that…
Descriptors: Memory, Recall (Psychology), Sequential Learning, Experiments
Bradley, Jean Ryberg – ProQuest LLC, 2017
This dissertation consists of three essays using publicly reported internal control deficiencies to examine agency conflicts in the unique organizational setting provided by nonprofit charter schools. In my first essay, I find evidence that increased agency conflicts in nonprofit charter schools are "not" associated with increased…
Descriptors: Charter Schools, Nonprofit Organizations, Conflict, Accountability
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Patarapichayatham, Chalie; Kamata, Akihito; Kanjanawasee, Sirichai – Educational and Psychological Measurement, 2012
Model specification issues on the cross-level two-way differential item functioning model were previously investigated by Patarapichayatham et al. (2009). Their study clarified that an incorrect model specification can easily lead to biased estimates of key parameters. The objective of this article is to provide further insights on the issue by…
Descriptors: Test Bias, Models, Bayesian Statistics, Statistical Analysis
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Bowers, Jeffrey S.; Davis, Colin J. – Psychological Bulletin, 2012
Griffiths, Chater, Norris, and Pouget (2012) argue that we have misunderstood the Bayesian approach. In their view, it is rarely the case that researchers are making claims that performance in a given task is near optimal, and few, if any, researchers adopt the theoretical Bayesian perspective according to which the mind or brain is actually…
Descriptors: Bayesian Statistics, Psychology, Brain, Theories
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Kim, Sooyeon; Moses, Tim; Yoo, Hanwook Henry – ETS Research Report Series, 2015
The purpose of this inquiry was to investigate the effectiveness of item response theory (IRT) proficiency estimators in terms of estimation bias and error under multistage testing (MST). We chose a 2-stage MST design in which 1 adaptation to the examinees' ability levels takes place. It includes 4 modules (1 at Stage 1, 3 at Stage 2) and 3 paths…
Descriptors: Item Response Theory, Computation, Statistical Bias, Error of Measurement
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Ricker, Timothy J.; Vergauwe, Evie; Hinrichs, Garrett A.; Blume, Christopher L.; Cowan, Nelson – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
There is substantial debate in the field of short-term memory (STM) as to whether the process of active maintenance occurs through memory-trace reactivation or repair. A key difference between these 2 potential mechanisms is that a repair mechanism should lead to recovery of forgotten information. The ability to recover forgotten memories would be…
Descriptors: Cognitive Ability, Maintenance, Short Term Memory, Retention (Psychology)
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Eckes, Thomas; Baghaei, Purya – Applied Measurement in Education, 2015
C-tests are gap-filling tests widely used to assess general language proficiency for purposes of placement, screening, or provision of feedback to language learners. C-tests consist of several short texts in which parts of words are missing. We addressed the issue of local dependence in C-tests using an explicit modeling approach based on testlet…
Descriptors: Language Proficiency, Language Tests, Item Response Theory, Test Reliability
Liu, Ran; Koedinger, Kenneth R. – International Educational Data Mining Society, 2015
A growing body of research suggests that accounting for student specific variability in educational data can improve modeling accuracy and may have implications for individualizing instruction. The Additive Factors Model (AFM), a logistic regression model used to fit educational data and discover/refine skill models of learning, contains a…
Descriptors: Models, Regression (Statistics), Learning, Classification
Kuo, Tzu-Chun – ProQuest LLC, 2015
Item response theory (IRT) has gained an increasing popularity in large-scale educational and psychological testing situations because of its theoretical advantages over classical test theory. Unidimensional graded response models (GRMs) are useful when polytomous response items are designed to measure a unified latent trait. They are limited in…
Descriptors: Item Response Theory, Bayesian Statistics, Computation, Models
Lamsal, Sunil – ProQuest LLC, 2015
Different estimation procedures have been developed for the unidimensional three-parameter item response theory (IRT) model. These techniques include the marginal maximum likelihood estimation, the fully Bayesian estimation using Markov chain Monte Carlo simulation techniques, and the Metropolis-Hastings Robbin-Monro estimation. With each…
Descriptors: Item Response Theory, Monte Carlo Methods, Maximum Likelihood Statistics, Markov Processes
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Rohde, Hannah; Frank, Michael C. – Cognitive Science, 2014
Although the language we encounter is typically embedded in rich discourse contexts, many existing models of processing focus largely on phenomena that occur sentence-internally. Similarly, most work on children's language learning does not consider how information can accumulate as a discourse progresses. Research in pragmatics, however,…
Descriptors: Caregiver Child Relationship, Discourse Analysis, Lexicology, Semantics
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McClelland, James L.; Mirman, Daniel; Bolger, Donald J.; Khaitan, Pranav – Cognitive Science, 2014
In a seminal 1977 article, Rumelhart argued that perception required the simultaneous use of multiple sources of information, allowing perceivers to optimally interpret sensory information at many levels of representation in real time as information arrives. Building on Rumelhart's arguments, we present the Interactive Activation…
Descriptors: Perception, Comprehension, Cognitive Processes, Alphabets
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Beekhuizen, Barend; Bod, Rens; Zuidema, Willem – Language and Speech, 2013
In this paper we present three design principles of language--experience, heterogeneity and redundancy--and present recent developments in a family of models incorporating them, namely Data-Oriented Parsing/Unsupervised Data-Oriented Parsing. Although the idea of some form of redundant storage has become part and parcel of parsing technologies and…
Descriptors: Language Acquisition, Models, Bayesian Statistics, Computational Linguistics
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Denison, Stephanie; Reed, Christie; Xu, Fei – Developmental Psychology, 2013
How do people make rich inferences from such sparse data? Recent research has explored this inferential ability by investigating probabilistic reasoning in infancy. For example, 8- and 11-month-old infants can make inferences from samples to populations and vice versa (Denison & Xu, 2010a; Xu & Denison, 2009; Xu & Garcia, 2008a). The…
Descriptors: Probability, Infants, Inferences, Young Children
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Kolkman, Meijke E.; Hoijtink, Herbert J. A.; Kroesbergen, Evelyn H.; Leseman, Paul P. M. – Learning and Individual Differences, 2013
Executive functions (EF) are closely related to math performance. Little is known, however, about the role of EF in numerical magnitude skills (NS), although these skills are widely acknowledged to be important precursors of math learning. The current study focuses on the different roles of updating, shifting, and inhibition in NS. EF and NS were…
Descriptors: Executive Function, Numeracy, Inhibition, Young Children
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