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McCardle, Peggy, Ed.; Miller, Brett, Ed.; Lee, Jun Ren, Ed.; Tzeng, Ovid J. L., Ed. – Brookes Publishing Company, 2011
What causes dyslexia, and how does it manifest across languages? As bilingualism becomes increasingly important globally, these questions have never been more critical--and this comprehensive volume from The Dyslexia Foundation explores them in unprecedented depth. Bringing together the best brain-based, genetics, and behavioral research in the…
Descriptors: Reading Difficulties, Second Languages, Dyslexia, Second Language Learning
Brack, Greg; And Others – 1994
With the exception of a few key writers, counselors largely ignore the benefits that Artificial Intelligence (AI) and Cognitive Psychology (CP) can bring to counseling. It is demonstrated that AI and CP can be integrated into the counseling literature. How AI and CP can offer new perspectives on information processing, cognition, and helping is…
Descriptors: Artificial Intelligence, Cognitive Processes, Cognitive Psychology, Computer Simulation
Gold, Steven C.; Pray, Thomas F. – 1984
The primary purpose of this paper is to examine negative findings regarding the use of simulations in economics education and to make suggestions for effective use of computerized economic simulations. The first part of the paper reviews experiential learning theory and previous economics education studies by Wentworth and Lewis (1972); Chismar,…
Descriptors: Computer Assisted Instruction, Computer Simulation, Economics Education, Educational Research
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Fowler, Mary S.; Kadane, Joseph B. – Journal of Statistics Education, 2006
Part of the history of oil and gas development on Indian reservations concerns potential underpayment of royalties due to under-valuation of production by oil companies. This paper discusses a model used by the Shoshone and Arapaho tribes in a lawsuit against the Federal government, claiming the Government failed to collect adequate royalties.…
Descriptors: Fuels, American Indian Education, Federal Government, Probability
Khine, Myint Swe, Ed.; Saleh, Issa M., Ed. – IGI Global, 2013
"Approaches and Strategies in Next Generation Science Learning" examines the challenges involved in the development of modern curriculum models, teaching strategies, and assessments in science education in order to prepare future students in the 21st century economies. This comprehensive collection of research brings together science educators,…
Descriptors: Teaching Methods, Science Education, Physical Sciences, Learning Theories
Liljedahl, Peter, Ed.; Oesterle, Susan, Ed.; Allan, Darien, Ed. – Canadian Mathematics Education Study Group, 2012
This submission contains the Proceedings of the 2011 Annual Meeting of the Canadian Mathematics Education Study Group (CMESG), held at Memorial University of Newfoundland in St. John's, Newfoundland. The CMESG is a group of mathematicians and mathematics educators who meet annually to discuss mathematics education issues at all levels of learning.…
Descriptors: Foreign Countries, Conference Papers, Mathematics Education, Team Teaching
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Moses, Tim; Holland, Paul – ETS Research Report Series, 2007
The purpose of this study was to empirically evaluate the impact of loglinear presmoothing accuracy on equating bias and variability across chained and post-stratification equating methods, kernel and percentile-rank continuization methods, and sample sizes. The results of evaluating presmoothing on equating accuracy generally agreed with those of…
Descriptors: Equated Scores, Statistical Analysis, Accuracy, Sample Size
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Passos, Valeria Lima; Berger, Martijn P. F.; Tan, Frans E. – Applied Psychological Measurement, 2007
The early stage of computerized adaptive testing (CAT) refers to the phase of the trait estimation during the administration of only a few items. This phase can be characterized by bias and instability of estimation. In this study, an item selection criterion is introduced in an attempt to lessen this instability: the D-optimality criterion. A…
Descriptors: Test Construction, Test Items, Item Response Theory, Computer Assisted Testing
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Fan, Xitao; Sivo, Stephen A. – Multivariate Behavioral Research, 2007
The search for cut-off criteria of fit indices for model fit evaluation (e.g., Hu & Bentler, 1999) assumes that these fit indices are sensitive to model misspecification, but not to different types of models. If fit indices were sensitive to different types of models that are misspecified to the same degree, it would be very difficult to establish…
Descriptors: Structural Equation Models, Criteria, Monte Carlo Methods, Factor Analysis
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Groth, Randall E. – Journal for Research in Mathematics Education, 2007
The purpose of this article is to sketch a hypothetical descriptive framework of statistical knowledge for teaching. Because statistics is a discipline in its own right rather than a branch of mathematics, the knowledge needed to teach statistics is likely to differ from the knowledge needed to teach mathematics. Doing statistics involves many…
Descriptors: Mathematics Education, Statistics, Mathematics Instruction, Teacher Education
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Kim, Seonghoon; Kolen, Michael J. – Journal of Educational and Behavioral Statistics, 2007
Under item response theory, the characteristic curve methods (Haebara and Stocking-Lord methods) are used to link two ability scales from separate calibrations. The linking methods use their respective criterion functions that can be defined differently according to the symmetry- and distribution-related schemes. The symmetry-related scheme…
Descriptors: Measures (Individuals), Item Response Theory, Simulation, Comparative Analysis
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Zou, Guang Yong – Psychological Methods, 2007
Confidence intervals are widely accepted as a preferred way to present study results. They encompass significance tests and provide an estimate of the magnitude of the effect. However, comparisons of correlations still rely heavily on significance testing. The persistence of this practice is caused primarily by the lack of simple yet accurate…
Descriptors: Intervals, Effect Size, Research Methodology, Correlation
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Jansen, Margo G. H. – Journal of Educational and Behavioral Statistics, 2007
The author considers a latent trait model for the response time on a (set of) pure speed test(s), the multiplicative gamma model (MGM), which is based on the assumption that the test response times are approximately gamma distributed, with known index parameters and scale parameters depending on subject ability and test difficulty parameters. Like…
Descriptors: Reaction Time, Timed Tests, Item Response Theory, Models
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Zimmerman, Donald W. – Educational and Psychological Measurement, 2007
Properties of the Spearman correction for attenuation were investigated using Monte Carlo methods, under conditions where correlations between error scores exist as a population parameter and also where correlated errors arise by chance in random sampling. Equations allowing for all possible dependence among true and error scores on two tests at…
Descriptors: Monte Carlo Methods, Correlation, Sampling, Data Analysis
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Freudenthal, Daniel; Pine, Julian M.; Aguado-Orea, Javier; Gobet, Fernand – Cognitive Science, 2007
In this study, we apply MOSAIC (model of syntax acquisition in children) to the simulation of the developmental patterning of children's optional infinitive (OI) errors in 4 languages: English, Dutch, German, and Spanish. MOSAIC, which has already simulated this phenomenon in Dutch and English, now implements a learning mechanism that better…
Descriptors: German, Spanish, Indo European Languages, English
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