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Bott, Lewis; Heit, Evan – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2004
This article reports the results of an experiment addressing extrapolation in function learning, in particular the issue of whether participants can extrapolate in a nonmonotonic manner. Existing models of function learning, including the extrapolation association model of function learning (EXAM; E. L. DeLosh, J. R. Busemeyer, & M. A. McDaniel,…
Descriptors: Computation, Psychological Studies, Data Analysis, Learning Processes
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Campbell, Jamie I. D.; Parker, Helen R.; Doetzel, Nicole L. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2004
In Experiment 1, adults (n = 48) performed simple addition, multiplication, and parity (i.e., odd-even) comparisons on pairs of Arabic digits or English number words. For addition and comparison, but not multiplication, response time increased with the number of odd operands. For addition, but not comparison, this parity effect was greater for…
Descriptors: Reaction Time, Arithmetic, Number Concepts, Psychological Studies
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Randall, Billi; Moss, Helen E.; Rodd, Jennifer M.; Greer, Mike; Tyler, Lorraine K. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2004
Patients with category-specific deficits have motivated a range of hypotheses about the structure of the conceptual system. One class of models claims that apparent category dissociations emerge from the internal structure of concepts rather than fractionation of the system into separate substores. This account claims that distinctive properties…
Descriptors: Semantics, Patients, Linguistic Theory, Computation
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Raju, Nambury S.; Oshima, T.C. – Educational and Psychological Measurement, 2005
Two new prophecy formulas for estimating item response theory (IRT)-based reliability of a shortened or lengthened test are proposed. Some of the relationships between the two formulas, one of which is identical to the well-known Spearman-Brown prophecy formula, are examined and illustrated. The major assumptions underlying these formulas are…
Descriptors: Item Response Theory, Test Reliability, Evaluation Methods, Computation
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Rogers, William M.; Schmitt, Neal – Multivariate Behavioral Research, 2004
Manifest variables in covariance structure analysis are often combined to form parcels for use as indicators in a measurement model. The purpose of the present study was to evaluate four empirical algorithms for creating such parcels, focusing on the effects of dimensionality on accuracy of parameter estimation and model fit. Results suggest that…
Descriptors: Mathematics, Meta Analysis, Computation, Comparative Analysis
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Mamon, Rogemar S. – International Journal of Mathematical Education in Science and Technology, 2004
Within the general framework of a multifactor term structure model, the fundamental partial differential equation (PDE) satisfied by a default-free zero-coupon bond price is derived via a martingale-oriented approach. Using this PDE, a result characterizing a model belonging to an exponential affine class is established using only a system of…
Descriptors: Factor Analysis, Structural Equation Models, Bond Issues, Computation
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Woods, Carol M.; Thissen, David – Psychometrika, 2006
The purpose of this paper is to introduce a new method for fitting item response theory models with the latent population distribution estimated from the data using splines. A spline-based density estimation system provides a flexible alternative to existing procedures that use a normal distribution, or a different functional form, for the…
Descriptors: Simulation, Population Distribution, Item Response Theory, Computation
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Kiers, Henk A. L. – Psychometrika, 2006
Prior to a three-way component analysis of a three-way data set, it is customary to preprocess the data by centering and/or rescaling them. Harshman and Lundy (1984) considered that three-way data actually consist of a three-way model part, which in fact pertains to ratio scale measurements, as well as additive "offset" terms that turn the ratio…
Descriptors: Measures (Individuals), Computation, Item Response Theory, Factor Analysis
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Minor, Darrell P. – AMATYC Review, 2005
In "Beyond Pascals Triangle" the author demonstrates ways of using "Pascallike" triangles to expand polynomials raised to powers in a fairly quick and easy fashion. The recursive method could easily be implemented within a spreadsheet, or simply by using paper and pencil. An explanation of why the method works follows the several examples that are…
Descriptors: Geometric Concepts, Computation, Mathematics Instruction, College Mathematics
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Viechtbauer, Wolfgang – Journal of Educational and Behavioral Statistics, 2005
The meta-analytic random effects model assumes that the variability in effect size estimates drawn from a set of studies can be decomposed into two parts: heterogeneity due to random population effects and sampling variance. In this context, the usual goal is to estimate the central tendency and the amount of heterogeneity in the population effect…
Descriptors: Bias, Meta Analysis, Models, Effect Size
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Besner, Derek; Borowsky, Ron – Psychological Review, 2006
This paper comments on the article by Plaut and Booth. Plaut and Booth's first simulation shows that there is essentially perfect discrimination between word and nonwords sharing the same orthographic structure when the simulation is carried out in the way we suggested. We take the view that Plaut and Booth's new simulation work settles little…
Descriptors: Mental Computation, Word Recognition, Simulation, Visual Discrimination
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LeFevre, Jo-Anne; Smith-Chant, Brenda L.; Fast, Lisa; Skwarchuk, Sheri-Lynn; Sargla, Erin; Arnup, Jesse S.; Penner-Wilger, Marcie; Bisanz, Jeffrey; Kamawar, Deepthi – Journal of Experimental Child Psychology, 2006
The development of conceptual and procedural knowledge about counting was explored for children in kindergarten, Grade 1, and Grade 2 (N = 255). Conceptual knowledge was assessed by asking children to make judgments about three types of counts modeled by an animated frog: standard (correct) left-to-right counts, incorrect counts, and unusual…
Descriptors: Cognitive Development, Computation, Concept Formation, Kindergarten
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Taylor, Aaron B.; West, Stephen G.; Aiken, Leona S. – Educational and Psychological Measurement, 2006
Variables that have been coarsely categorized into a small number of ordered categories are often modeled as outcome variables in psychological research. The authors employ a Monte Carlo study to investigate the effects of this coarse categorization of dependent variables on power to detect true effects using three classes of regression models:…
Descriptors: Regression (Statistics), Classification, Monte Carlo Methods, Sample Size
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Kahraman, Nilufer; Kamata, Akihito – Applied Psychological Measurement, 2004
In this study, the precision of subscale score estimates was evaluated when out-of-scale information was incorporated. Procedures that incorporated out-of-scale information and only information within a subscale were compared through a series of simulations. It was revealed that more information (i.e., more precision) was always provided for…
Descriptors: Scores, Computation, Evaluation Methods, Simulation
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Marques, Joan F.; McCall, Chester – Qualitative Report, 2005
Interrater reliability has thus far not been a common application in phenomenological studies. However, once the suggestion was brought up by a team of supervising professors during the preliminary orals of a phenomenological study, the utilization of this verification tool turned out to be vital to the credibility level of this type of inquiry,…
Descriptors: Interrater Reliability, Phenomenology, Qualitative Research, Computation
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