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Asempapa, Reuben S.; Brooks, Gordon P. – Journal of Mathematics Teacher Education, 2022
The effective teaching and learning of mathematics through mathematical modeling and connecting mathematics to the real world has gained rapid growth at various educational levels all over the world. The growth in modeling practices in the United States of America (US) and the international community is the result of the development and…
Descriptors: Factor Analysis, Teacher Attitudes, Mathematics Teachers, Standards
Thomas, Michael L.; Brown, Gregory G.; Patt, Virginie M.; Duffy, John R. – Educational and Psychological Measurement, 2021
The adaptation of experimental cognitive tasks into measures that can be used to quantify neurocognitive outcomes in translational studies and clinical trials has become a key component of the strategy to address psychiatric and neurological disorders. Unfortunately, while most experimental cognitive tests have strong theoretical bases, they can…
Descriptors: Adaptive Testing, Computer Assisted Testing, Cognitive Tests, Psychopathology
Asempapa, Reuben S. – International Journal of Assessment Tools in Education, 2020
This study addresses a gap in the literature on mathematical modeling education by developing the mathematical modeling knowledge scale (MMKS). The MMKS is a quantitative tool created to assess teachers' knowledge of the nature of mathematical modeling. Quantitative instruments to measure modeling knowledge is scare in the literature partially due…
Descriptors: Mathematical Models, Knowledge Level, Teacher Characteristics, Test Construction
Asempapa, Reuben S. – School Science and Mathematics, 2019
This article describes the development, initial validation, and psychometric evaluation of the mathematical modeling attitude scale (MMAS). Specifically, both qualitative and quantitative techniques were used to generate relevant items. The MMAS assesses K-12 teachers' attitude toward mathematical modeling and examines their experiences with…
Descriptors: Attitude Measures, Mathematical Models, Test Construction, Psychometrics
Osler, James Edward, II – Journal of Educational Technology, 2015
This monograph provides an epistemological rational for the Accumulative Manifold Validation Analysis [also referred by the acronym "AMOVA"] statistical methodology designed to test psychometric instruments. This form of inquiry is a form of mathematical optimization in the discipline of linear stochastic modelling. AMOVA is an in-depth…
Descriptors: Statistical Analysis, Test Validity, Test Reliability, Inquiry
Weissman, Alexander – Psychometrika, 2013
Convergence of the expectation-maximization (EM) algorithm to a global optimum of the marginal log likelihood function for unconstrained latent variable models with categorical indicators is presented. The sufficient conditions under which global convergence of the EM algorithm is attainable are provided in an information-theoretic context by…
Descriptors: Item Response Theory, Mathematics, Psychometrics, Mathematical Models
Osler, James Edward – Journal of Educational Technology, 2013
This monograph provides an epistemological rational for the design of an advanced novel analysis metric. The metric is designed to analyze the outcomes of the Tri-Squared Test. This methodology is referred to as: "Tri-Squared Mean Cross Comparative Analysis" (given the acronym TSMCCA). Tri-Squared Mean Cross Comparative Analysis involves…
Descriptors: Comparative Analysis, Qualitative Research, Statistical Analysis, Psychometrics
Kogo, Naoki; Strecha, Christoph; Van Gool, Luc; Wagemans, Johan – Psychological Review, 2010
Human visual perception is a fundamentally relational process: Lightness perception depends on luminance ratios, and depth perception depends on occlusion (difference of depth) cues. Neurons in low-level visual cortex are sensitive to the difference (but not the value itself) of signals, and these differences have to be used to reconstruct the…
Descriptors: Cues, Depth Perception, Mathematical Models, Visual Perception
Stamovlasis, Dimitrios; Tsaparlis, Georgios – Science Education, 2012
In this study, we test an information-processing model (IPM) of problem solving in science education, namely the working memory overload model, by applying catastrophe theory. Changes in students' achievement were modeled as discontinuities within a cusp catastrophe model, where working memory capacity was implemented as asymmetry and the degree…
Descriptors: Predictor Variables, High School Students, Logical Thinking, Science Education
Tran, Ulrich S.; Formann, Anton K. – Educational and Psychological Measurement, 2009
Parallel analysis has been shown to be suitable for dimensionality assessment in factor analysis of continuous variables. There have also been attempts to demonstrate that it may be used to uncover the factorial structure of binary variables conforming to the unidimensional normal ogive model. This article provides both theoretical and empirical…
Descriptors: Simulation, Factor Analysis, Correlation, Evaluation Methods
Koulis, Theodoro; Ramsay, James O.; Levitin, Daniel J. – Psychometrika, 2008
Recent advances in data recording technology have given researchers new ways of collecting on-line and continuous data for analyzing input-output systems. For example, continuous response digital interfaces are increasingly used in psychophysics. The statistical problem related to these input-output systems reduces to linking time-varying…
Descriptors: Mathematical Models, Data Analysis, Calculus, Item Response Theory
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
Peer reviewedFox, Christine M.; Jones, James A. – Journal of Counseling Psychology, 1998
Traditional and innovative uses of the Rasch model in the development and validation of both small- and large-scale psychological instruments are illustrated and discussed. Advantages of the model in maximizing scale interpretability and validity are presented. Both mathematical and conceptual explanations are provided using counseling psychology…
Descriptors: Counseling, Mathematical Models, Psychometrics, Research Methodology
Peer reviewedBarrett, P. T.; Eysenck, H. J. – Intelligence, 1992
An attempt to replicate the results with averaged evoked potentials (AEPs) of D. E. Hendrickson and A. E Hendrickson (1982) with 40 adults confirms a negative correlation between AEP variability and IQ. The Hendrickson paradigm is seen as no more than a well-controlled auditory evoked potential. (SLD)
Descriptors: Adults, Correlation, Intelligence, Intelligence Quotient
Peer reviewedLevin, Joseph – Multivariate Behavioral Research, 1979
Two applications of Kristof's theorem on traces of matrix products are presented in order to highlight their utility for psychometric theory and studies. (Author/JKS)
Descriptors: Mathematical Models, Matrices, Psychometrics, Statistical Analysis

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