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Showing 1 to 15 of 41 results Save | Export
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Sabag, Nissim – Research in Science & Technological Education, 2017
Background: The importance of knowledge and skills in mathematics for electrical engineering students is well known. Engineers and engineering educators agree that any engineering curriculum must include plenty of mathematics studies to enrich the engineer's toolbox. Nevertheless, little attention has been given to the possible contribution of…
Descriptors: Laboratory Experiments, Mathematics Education, Case Studies, Engineering Education
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Deboeck, Pascal R.; Boker, Steven M. – Psychometrika, 2010
Complex intraindividual variability observed in psychology may be well described using differential equations. It is difficult, however, to apply differential equation models in psychological contexts, as time series are frequently short, poorly sampled, and have large proportions of measurement and dynamic error. Furthermore, current methods for…
Descriptors: Psychometrics, Models, Statistical Analysis, Measurement
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Ng, Chiu-king – Physics Education, 2016
Instead of solving ordinary differential equations (ODEs), the damped simple harmonic motion (SHM) is surveyed qualitatively from basic mechanics and quantitatively by the instrumentality of a graph of velocity against displacement. In this way, the condition b ? [square root]4mk for the occurrence of the non-oscillating critical damping and…
Descriptors: Problem Solving, Calculus, Motion, Qualitative Research
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Mohammed, M. A.; Ibrahim, A. I. N.; Siri, Z.; Noor, N. F. M. – Sociological Methods & Research, 2019
In this article, a numerical method integrated with statistical data simulation technique is introduced to solve a nonlinear system of ordinary differential equations with multiple random variable coefficients. The utilization of Monte Carlo simulation with central divided difference formula of finite difference (FD) method is repeated n times to…
Descriptors: Monte Carlo Methods, Calculus, Sampling, Simulation
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Deboeck, Pascal R. – Multivariate Behavioral Research, 2010
The fitting of dynamical systems to psychological data offers the promise of addressing new and innovative questions about how people change over time. One method of fitting dynamical systems is to estimate the derivatives of a time series and then examine the relationships between derivatives using a differential equation model. One common…
Descriptors: Computation, Calculus, Statistical Analysis, Statistical Bias
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Deshler, Jessica M.; Miller, David; Pascal, Matthew – PRIMUS, 2016
In an effort to support the success of minority students and to incorporate inquiry-based learning (IBL) into the calculus sequence of courses at West Virginia University, a modified version of the Emerging Scholars Program (ESP) was implemented in the fall of 2009. Since then, approximately 100 students have taken ESP Calculus I, with many of…
Descriptors: Classroom Techniques, Active Learning, Inquiry, Calculus
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Jaafar, Reem; Toce, Andi; Polnariev, Bernard A. – Community College Journal of Research and Practice, 2016
The United States lags behind many countries in mathematics proficiency. Quite often, students after graduating from high school are not prepared to enter college and are required to take remedial courses before taking credit-bearing math courses. This is particularly true at two-year institutions such as LaGuardia Community College, which…
Descriptors: Community Colleges, College Mathematics, Tutorial Programs, Remedial Mathematics
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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
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Ngu, Bing Hiong; Yeung, Alexander Seeshing; Phan, Huy P.; Hong, Kian Sam; Usop, Hasbee – Journal of Experimental Education, 2018
In an experiment, secondary students from Australia and Malaysia (n = 130) were randomly assigned to one of three approaches (equation, unitary, unitary-pictorial) to learn how to solve challenging percentage-change problems. In line with the differential types of cognitive load associated with the three approaches, the unitary-approach group…
Descriptors: Problem Solving, Cognitive Processes, Difficulty Level, Cross Cultural Studies
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Garn, Alex C.; Webster, E. Kipling – Measurement in Physical Education and Exercise Science, 2018
The Test of Gross Motor Development--Second Edition (TGMD-2) is a widely used evaluation tool of children's fundamental motor skills (FMS). This study illustrates how exploratory structural equation modeling (ESEM) addresses current limitations associated with TGMD-2 factor structure. Using the normative dataset from the TGMD-2 manual, we test…
Descriptors: Motor Development, Performance Tests, Factor Structure, Structural Equation Models
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Butner, Jonathan; Amazeen, Polemnia G.; Mulvey, Genna M. – Psychological Methods, 2005
The authors present a dynamical multilevel model that captures changes over time in the bidirectional, potentially asymmetric influence of 2 cyclical processes. S. M. Boker and J. Graham's (1998) differential structural equation modeling approach was expanded to the case of a nonlinear coupled oscillator that is common in bimanual coordination…
Descriptors: Structural Equation Models, Social Systems, Models, Change
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Ngu, Bing Hiong; Phan, Huy Phuong – Pedagogies: An International Journal, 2016
We examined the use of balance and inverse methods in equation solving. The main difference between the balance and inverse methods lies in the operational line (e.g. +2 on both sides vs -2 becomes +2). Differential element interactivity favours the inverse method because the interaction between elements occurs on both sides of the equation for…
Descriptors: Equations (Mathematics), Problem Solving, Cognitive Processes, Difficulty Level
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Ng, Eddie C. W.; Lam, Jasmine K. M.; Chan, Charles C. H. – Merrill-Palmer Quarterly: Journal of Developmental Psychology, 2017
Youths living in poverty may experience less developmental support. Although the importance of hope, relational support, and community support for positive adaptation is acknowledged, how they combine to affect psychosocial adjustment is unknown. This study, drawing on 830 low-income youths (11-18 years old) in Hong Kong, provides evidence that…
Descriptors: Adjustment (to Environment), Low Income Groups, Youth, Poverty
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Enders, Craig K.; Keller, Brian T.; Levy, Roy – Grantee Submission, 2018
Specialized imputation routines for multilevel data are widely available in software packages, but these methods are generally not equipped to handle a wide range of complexities that are typical of behavioral science data. In particular, existing imputation schemes differ in their ability to handle random slopes, categorical variables,…
Descriptors: Hierarchical Linear Modeling, Behavioral Science Research, Computer Software, Bayesian Statistics
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Prindle, John J.; McArdle, John J. – Structural Equation Modeling: A Multidisciplinary Journal, 2012
This study used statistical simulation to calculate differential statistical power in dynamic structural equation models with groups (as in McArdle & Prindle, 2008). Patterns of between-group differences were simulated to provide insight into how model parameters influence power approximations. Chi-square and root mean square error of…
Descriptors: Statistical Analysis, Structural Equation Models, Goodness of Fit, Monte Carlo Methods
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