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Martinussen, Monica; Bjornstad, Jan F. – Educational and Psychological Measurement, 1999
Studied the effect of including nonindependent correlations in the meta-analysis method of J. Hunter and F. Schmidt on the estimated population standard deviation. Evaluation indicates that the Hunter and Schmidt method will underestimate the true population standard deviation. Developed new methods to correct for this and illustrated the methods…
Descriptors: Case Studies, Computation, Correlation, Meta Analysis
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Sijtsma, Klaas; Meijer, Rob R. – Psychometrika, 2001
Studied the use of the person response function (PRF) for identifying nonfitting item score patterns. Proposed a person-fit method reformulated in a nonparametric item response theory (IRT) context. Conducted a simulation study to compare the use of the PRF with a person-fit statistic, resulting in the conclusion that the PRF can be used as a…
Descriptors: Item Response Theory, Monte Carlo Methods, Nonparametric Statistics, Scores
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Lane, J. Lindsey; Slavin, Stuart; Ziv, Amitai – Simulation & Gaming, 2001
Discusses the use of simulation in medical education at all levels and describes how role play, standardized patients, computer, videotape, and mannequin simulations are integrated into the educational curricula for medical students and physicians. Discusses advantages and disadvantages of simulation and barriers to the use of simulation.…
Descriptors: Curriculum Development, Medical Education, Medical Students, Physicians
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Penfield, Randall D. – Applied Measurement in Education, 2001
Compared the performance of three methods of assessing differential item functioning (DIF) across demographic groups, using: (1) the Mantel-Haenszel chi-square statistic with no adjustment to the alpha level; (2) the Mantel-Haenszel statistic with a Bonferroni adjusted alpha level; and (3) the generalized Mantel-Haenszel statistic. Simulation…
Descriptors: Chi Square, Demography, Item Bias, Power (Statistics)
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Bacon, Donald R. – Structural Equation Modeling, 2001
Evaluated the performance of several alternative cluster analytic approaches to initial model specification using population parameter analyses and a Monte Carlo simulation. Of the six cluster approaches evaluated, the one using the correlations of item correlations as a proximity metric and average linking as a clustering algorithm performed the…
Descriptors: Algorithms, Cluster Analysis, Correlation, Mathematical Models
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Enders, Craig K.; Bandalos, Deborah L. – Structural Equation Modeling, 2001
Used Monte Carlo simulation to examine the performance of four missing data methods in structural equation models: (1)full information maximum likelihood (FIML); (2) listwise deletion; (3) pairwise deletion; and (4) similar response pattern imputation. Results show that FIML estimation is superior across all conditions of the design. (SLD)
Descriptors: Maximum Likelihood Statistics, Monte Carlo Methods, Simulation, Structural Equation Models
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Cox, Daniel J.; Merkel, R. Lawrence; Penberthy, Jennifer Kim; Kovatchev, Boris; Hankin, Cheryl S. – Journal of the American Academy of Child and Adolescent Psychiatry, 2004
Objective: Adolescents with attention-deficit/hyperactivity disorder (ADHD) are at high risk for driving accidents. One dose of methylphenidate (MPH) improves simulator driving performances of ADHD-diagnosed adolescents at 1.5 hours post-dose. However, little is known about the effects of different MPH delivery profiles on driving performance…
Descriptors: Program Effectiveness, Psychiatry, Profiles, Adolescents
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van der Ark, L. Andries – Psychometrika, 2005
The sum score is often used to order respondents on the latent trait measured by the test. Therefore, it is desirable that under the chosen model the sum score stochastically orders the latent trait. It is known that unlike dichotomous item response theory (IRT) models, most polytomous IRT models do not imply stochastic ordering. It is unknown,…
Descriptors: Data Analysis, Item Response Theory, Scores, Models
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Rijmen, Frank; De Boeck, Paul – Psychometrika, 2005
Two generalizations of the Rasch model are compared: the between-item multidimensional model (Adams, Wilson, and Wang, 1997), and the mixture Rasch model (Mislevy & Verhelst, 1990; Rost, 1990). It is shown that the between-item multidimensional model is formally equivalent with a continuous mixture of Rasch models for which, within each class…
Descriptors: Simulation, Item Response Theory, Comparative Analysis, Models
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Hayashi, Kentaro; Kamata, Akihito – Psychometrika, 2005
The asymptotic standard deviation (SD) of the alpha coefficient with standardized variables is derived under normality. The research shows that the SD of the standardized alpha coefficient becomes smaller as the number of examinees and/or items increase. Furthermore, this research shows that the degree of the dependence of the SD on the number of…
Descriptors: Correlation, Statistical Analysis, Measurement Techniques, Simulation
Trotter, Andrew – Education Week, 2005
Efforts to merge popular digital games with education seem to rev up with every new generation of technology. The latest came last October, when game developers, researchers, and educators came together in a meeting to explore whether digital games' powerful attraction for young people could be used to pull them deeper into academic learning.…
Descriptors: Educational Technology, Video Games, Educational Games, School Business Relationship
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Sanjose, Vicente; Vidal-Abarca, Eduardo; Padilla, Olga M. – Discourse Processes: A Multidisciplinary Journal, 2006
This article proposes an extension to Kintsch's Construction-Integration (CI) model of text comprehension, which changes its mathematical implementation and emphasizes the connectionist features of the model. Specifically, the extension proposed here (a) simulates the learning process in a connectionist manner by making explicit changes in the…
Descriptors: Inferences, Word Processing, Reading Comprehension, Simulation
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Reichle, Erik D.; Perfetti, Charles A. – Scientific Studies of Reading, 2003
In reading research, morphological processing and monomorphemic word identification have generally been treated separately. We describe a computational model that brings both kinds of reading together within a single framework. This model assumes that word knowledge-the orthography, phonology, and meaning of words-accumulates with experiences with…
Descriptors: Word Recognition, Morphology (Languages), Morphemes, Simulation
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Merritt, Paul; Hirshman, Elliot; Zamani, Shane; Hsu, John; Berrigan, Michael – Brain and Cognition, 2006
Current controversy exists regarding the role of episodic representations in the formation of long-term semantic memories. Using the drug "midazolam" to induce temporary amnesia we tested participants' memories for newly learned facts in a semantic cue condition or an episodic and semantic cue condition. Following midazolam administration, memory…
Descriptors: Drug Use, Semantics, Learning Processes, Cues
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Kralj, Anita Kovac; Glavic, Peter – Bulletin of Science, Technology and Society, 2006
Hydrogen is a very important industrial gas in chemical processes. It is very volatile; therefore, it can escape from the process units and its mass balance is not always correct. In many industrial processes where hydrogen is reacted, kinetics are often related to hydrogen pressure. The right thermodynamic properties of hydrogen can be found for…
Descriptors: Chemistry, Kinetics, Thermodynamics, Simulation
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