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Schermerhorn, Benjamin P.; Passante, Gina; Sadaghiani, Homeyra; Pollock, Steven J. – Physical Review Physics Education Research, 2019
Undergraduate quantum mechanics (QM) uses a variety of notations, each with their own advantages and constraints, for representing quantum states and carrying out individual calculations. An example of this can be seen when calculating expectation values, which can be solved using several different methods. Analysis of written exam data given at…
Descriptors: Preferences, Student Attitudes, Computation, Quantum Mechanics
Akhtyamov, Azamat; Amram, Meirav; Mouftakhov, Artour – International Journal of Mathematical Education in Science and Technology, 2018
In this paper, we reconstruct matrices from their minors, and give explicit formulas for the reconstruction of matrices of orders 2 × 3, 2 × 4, 2 × n, 3 × 6 and m × n. We also formulate the Plücker relations, which are the conditions of the existence of a matrix related to its given minors.
Descriptors: Matrices, Algebra, Mathematics Instruction, Mathematical Models
Haans, Antal – Practical Assessment, Research & Evaluation, 2018
Contrast analysis is a relatively simple but effective statistical method for testing theoretical predictions about differences between group means against the empirical data. Despite its advantages, contrast analysis is hardly used to date, perhaps because it is not implemented in a convenient manner in many statistical software packages. This…
Descriptors: Comparative Analysis, Statistical Analysis, Matrices, Computer Software
Goldin, Ilya; Galyardt, April – Journal of Educational Data Mining, 2018
Data from student learning provide learning curves that, ideally, demonstrate improvement in student performance over time. Existing data mining methods can leverage these data to characterize and improve the domain models that support a learning environment, and these methods have been validated both with already-collected data, and in…
Descriptors: Predictor Variables, Models, Learning Processes, Matrices
Gongjun Xu; Zhuoran Shang – Grantee Submission, 2018
This article focuses on a family of restricted latent structure models with wide applications in psychological and educational assessment, where the model parameters are restricted via a latent structure matrix to reflect prespecified assumptions on the latent attributes. Such a latent matrix is often provided by experts and assumed to be correct…
Descriptors: Psychological Evaluation, Educational Assessment, Item Response Theory, Models
Sinharay, Sandip – Grantee Submission, 2018
Tatsuoka (1984) suggested several extended caution indices and their standardized versions that have been used as person-fit statistics by researchers such as Drasgow, Levine, and McLaughlin (1987), Glas and Meijer (2003), and Molenaar and Hoijtink (1990). However, these indices are only defined for tests with dichotomous items. This paper extends…
Descriptors: Test Format, Goodness of Fit, Item Response Theory, Error Patterns
Jang, Larry K.; Lo, Roger C. – Chemical Engineering Education, 2015
The objective of this work is to present a spreadsheet tool that illustrates an ideal case of dynamic matrix control (DMC) calculations. The ideal case presented in this work is a hypothetical single- input-single-output DMC control system for setpoint tracking, in the absence of disturbance and mismatch between the measured and predicted process…
Descriptors: Undergraduate Students, Spreadsheets, Simulation, Matrices
Carley, Holly – Australian Senior Mathematics Journal, 2014
Usually a student learns to solve a system of linear equations in two ways: "substitution" and "elimination." While the two methods will of course lead to the same answer they are considered different because the thinking process is different. In this paper the author solves a system in these two ways to demonstrate the…
Descriptors: Equations (Mathematics), Matrices, Mathematics, Mathematics Instruction
Chung, Yeojin; Gelman, Andrew; Rabe-Hesketh, Sophia; Liu, Jingchen; Dorie, Vincent – Journal of Educational and Behavioral Statistics, 2015
When fitting hierarchical regression models, maximum likelihood (ML) estimation has computational (and, for some users, philosophical) advantages compared to full Bayesian inference, but when the number of groups is small, estimates of the covariance matrix (S) of group-level varying coefficients are often degenerate. One can do better, even from…
Descriptors: Regression (Statistics), Hierarchical Linear Modeling, Bayesian Statistics, Statistical Inference
Chung, Yeojin; Gelman, Andrew; Rabe-Hesketh, Sophia; Liu, Jingchen; Dorie, Vincent – Grantee Submission, 2015
When fitting hierarchical regression models, maximum likelihood (ML) estimation has computational (and, for some users, philosophical) advantages compared to full Bayesian inference, but when the number of groups is small, estimates of the covariance matrix [sigma] of group-level varying coefficients are often degenerate. One can do better, even…
Descriptors: Regression (Statistics), Hierarchical Linear Modeling, Bayesian Statistics, Statistical Inference
Vysotskaya, Anna; Kolvakh, Oleg; Stoner, Greg – Accounting Education, 2016
The aim of this paper is to describe the innovative teaching approach used in the Southern Federal University, Russia, to teach accounting via a form of matrix mathematics. It thereby contributes to disseminating the technique of teaching to solve accounting cases using mutual calculations to a worldwide audience. The approach taken in this course…
Descriptors: Computation, Teaching Methods, Mathematics, Matrices
Adachi, Kohei – Psychometrika, 2013
Rubin and Thayer ("Psychometrika," 47:69-76, 1982) proposed the EM algorithm for exploratory and confirmatory maximum likelihood factor analysis. In this paper, we prove the following fact: the EM algorithm always gives a proper solution with positive unique variances and factor correlations with absolute values that do not exceed one,…
Descriptors: Factor Analysis, Mathematics, Correlation, Maximum Likelihood Statistics
Tindal, Gerald; Nese, Joseph F. T.; Stevens, Joseph J. – Educational Assessment, 2017
For the past decade, the accountability model associated with No Child Left Behind (NCLB) emphasized proficiency on end of year tests; with Every Student Succeeds Act (ESSA) the emphasis on proficiency within statewide testing programs, though now integrated with other measures of student learning, nevertheless remains a primary metric for…
Descriptors: Testing Programs, Middle School Students, Models, State Standards
Jingchen Liu; Gongjun Xu; Zhiliang Ying – Applied Psychological Measurement, 2012
The recent surge of interests in cognitive assessment has led to developments of novel statistical models for diagnostic classification. Central to many such models is the well-known "Q"-matrix, which specifies the item-attribute relationships. This article proposes a data-driven approach to identification of the "Q"-matrix and…
Descriptors: Matrices, Computation, Statistical Analysis, Models
Trenkler, Gotz; Trenkler, Dietrich – College Mathematics Journal, 2012
The numerical range, easy to understand but often tedious to compute, provides useful information about a matrix. Here we describe the numerical range of a 3 x 3 magic square. Applying our results to one of the most famous of those squares, the Luoshu, it turns out that its numerical range is a piece of cake--almost.
Descriptors: Problem Solving, Mathematical Concepts, Computation, Matrices

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