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Paek, Insu; Young, Michael J. – Applied Measurement in Education, 2005
When the item response theory (IRT) model uses the marginal maximum likelihood estimation, person parameters are usually treated as random parameters following a certain distribution as a prior distribution to estimate the structural parameters in the model. For example, both PARSCALE (Muraki & Bock, 1999) and BILOG 3 (Mislevy & Bock,…
Descriptors: Item Response Theory, Test Items, Maximum Likelihood Statistics, Test Bias
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Rouder, Jeffrey N. – Psychometrika, 2005
Van Breukelen (this issue) provides an approach to using both response time (RT) and accuracy for (1) measuring latent abilities of participants even when they may trade speed for accuracy, and for (2) providing insight into the psychological processes underlying task performance. In this commentary, I focus on the second of these aims and assess…
Descriptors: Reaction Time, Cognitive Psychology, Computation, Psychological Patterns
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Ansari, Asim; Iyengar, Raghuram – Psychometrika, 2006
We develop semiparametric Bayesian Thurstonian models for analyzing repeated choice decisions involving multinomial, multivariate binary or multivariate ordinal data. Our modeling framework has multiple components that together yield considerable flexibility in modeling preference utilities, cross-sectional heterogeneity and parameter-driven…
Descriptors: Markov Processes, Monte Carlo Methods, Computation, Bayesian Statistics
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Peterson, Blake E. – Mathematics Teaching in the Middle School, 2006
This article discusses mathematics in terms of how Japanese students learn. (Contains 11 figures.)
Descriptors: Foreign Countries, Mathematics Instruction, Teaching Methods, Secondary School Mathematics
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Christ, Theodore J.; Johnson-Gros, Kristin H. – Psychology in the Schools, 2005
The current study extended previous research on curriculum-based measurement in mathematics (M-CBM) assessments. The purpose was to examine the generalizability and dependability of multiple-skill M-CBM computation assessments across various assessment durations (1, 2, 3, 4, 5, and 6 minutes). Results of generalizability and dependability studies…
Descriptors: Alternative Assessment, High Stakes Tests, Curriculum Based Assessment, Computation
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Van den Noortgate, Wim; Opdenakker, Marie-Christine; Onghena, Patrick – School Effectiveness and School Improvement, 2005
Ignoring a level can have a substantial impact on the conclusions of a multilevel analysis. For intercept-only models and for balanced data, we derive these effects analytically. For more complex random intercept models or for unbalanced data, a simulation study is performed. Most important effects concern estimates and corresponding standard…
Descriptors: Simulation, Educational Research, Computation, Error of Measurement
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Fink, Bernhard; Brookes, Helen; Neave, Nick; Manning, John T.; Geary, David C. – Brain and Cognition, 2006
The ratio between the 2nd and 4th fingers (2D:4D)--a potential proxy for prenatal testosterone (T) exposure--shows a sex difference, with males usually having lower mean values; the latter potentially indicates higher prenatal T exposure. We studied relations between 2D:4D and competencies in the domains of counting, number knowledge, and…
Descriptors: Prenatal Influences, Mathematics Skills, Gender Differences, Computation
Wood, Eric – Australian Mathematics Teacher, 2004
The history of mathematics is full of rich examples that can help students to see the place of the discipline within our cultural heritage. Valuable as this can be, it also has the unfortunate side-effect of making students think that all the math has already been done and they do not get a sense that the subject is dynamic and growing.…
Descriptors: Credit (Finance), Learning Activities, Mathematical Concepts, Error Correction
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Ayres, Paul – Learning and Instruction, 2006
Cognitive load theorists have frequently used subjective measures of cognitive load to test the effectiveness of instructional procedures. This study sought to broaden the applications of subjective measures by testing their ability to detect variations in intrinsic cognitive load within tasks. In two experiments students were asked to complete…
Descriptors: Cognitive Ability, Teaching Methods, Problem Solving, Computation
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Litt, Abninder; Eliasmith, Chris; Kroon, Frederick W.; Weinstein, Steven; Thagard, Paul – Cognitive Science, 2006
We argue that computation via quantum mechanical processes is irrelevant to explaining how brains produce thought, contrary to the ongoing speculations of many theorists. First, quantum effects do not have the temporal properties required for neural information processing. Second, there are substantial physical obstacles to any organic…
Descriptors: Computation, Brain, Quantum Mechanics, Cognitive Processes
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Karpen, Mary E.; Henderleiter, Julie; Schaertel, Stephanie A. – Journal of Chemical Education, 2004
The usage of computational chemistry in a pedagogically effective manner in the undergraduate chemistry curriculum is described. The changes instituted for an effective course structure and the assessment of the course efficacy are discussed.
Descriptors: Chemistry, Curriculum Development, Science Education, Science Instruction
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Yuan, Ke-Hai; Bentler, Peter M. – Educational and Psychological Measurement, 2004
In mean and covariance structure analysis, the chi-square difference test is often applied to evaluate the number of factors, cross-group constraints, and other nested model comparisons. Let model M[a] be the base model within which model M[b] is nested. In practice, this test is commonly used to justify M[b] even when M[a] is misspecified. The…
Descriptors: Statistical Significance, Item Response Theory, Computation, Statistical Analysis
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Lei, Pui-Wa; Dunbar, Stephen B. – Structural Equation Modeling, 2004
The primary purpose of this study was to examine relative performance of 2 power estimation methods in structural equation modeling. Sample size, alpha level, type of manifest variable, type of specification errors, and size of correlation between constructs were manipulated. Type 1 error rate of the model chi-square test, empirical critical…
Descriptors: Measures (Individuals), Structural Equation Models, Computation, Scores
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Franklin, Christine A.; Mulekar, Madhuri S. – Teaching Statistics: An International Journal for Teachers, 2004
This article describes an activity through which students collect data and explore ways to display them through graphs and charts. It also motivates various summary measures for location, spread and shape. Finally, it gives an introduction to concepts of validity, reliability and unbiasedness.
Descriptors: Computation, Measurement, Prior Learning, Charts
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Johnson, Matthew S. – Psychometrika, 2006
Unlike their monotone counterparts, nonparametric unfolding response models, which assume the item response function is unimodal, have seen little attention in the psychometric literature. This paper studies the nonparametric behavior of unfolding models by building on the work of Post (1992). The paper provides rigorous justification for a class…
Descriptors: Psychometrics, Nonparametric Statistics, Item Response Theory, Models
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