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Yamaguchi, Motonori; Proctor, Robert W. – Psychological Review, 2012
The present study proposes and examines the multidimensional vector (MDV) model framework as a modeling schema for choice response times. MDV extends the Thurstonian model, as well as signal detection theory, to classification tasks by taking into account the influence of response properties on stimulus discrimination. It is capable of accounting…
Descriptors: Educational Technology, Mathematical Models, Scaling, Experiments
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Koellner, Karen; Colsman, Melissa; Risley, Rachael – TEACHING Exceptional Children, 2011
This article describes the affordances of using clinical interviews with struggling mathematics learners to inform intervention and instruction. A case study of a fourth grade student, Danny, is presented to give an illustrative example of the complexity of the student's mathematical understandings in terms of place value. From the clinical…
Descriptors: Intervention, Number Concepts, Grade 4, Response to Intervention
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Pellegrini, Santiago; Papini, Mauricio R. – Learning and Motivation, 2007
Papini and Pellegrini (Papini, M. R., & Pellegrini, S. "Scaling relative incentive value in consummatory behavior." "Learning and Motivation", in press) observed that, within limits, the level of consummatory responding of rats exposed to incentive downshifts in the concentration of sucrose solutions was similar when the ratio of test/training…
Descriptors: Scaling, Incentives, Behavior, Conditioning
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Sak, Ugur – Roeper Review, 2009
In this study, psychometric properties of the test of the three-mathematical minds (M3) were investigated. The M3 test was developed based on a multidimensional conception of giftedness to identify mathematically talented students. Participants included 291 middle-school students. Data analysis indicated that the M3 had a 0.73 coefficient as a…
Descriptors: Academically Gifted, Factor Analysis, Psychometrics, Ability Identification
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Smithson, Michael; Verkuilen, Jay – Psychological Methods, 2006
Uncorrectable skew and heteroscedasticity are among the "lemons" of psychological data, yet many important variables naturally exhibit these properties. For scales with a lower and upper bound, a suitable candidate for models is the beta distribution, which is very flexible and models skew quite well. The authors present…
Descriptors: Maximum Likelihood Statistics, Predictor Variables, Mathematical Models, Comparative Analysis