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Arribas, E.; Escobar, I.; Ramirez-Vazquez, R. – International Journal of Mathematical Education in Science and Technology, 2021
In the article 'How Long Is My Toilet Roll--A Simple Exercise in Mathematical Modelling' several models of increasing complexity are introduced and solved to calculate indirectly the length of paper on a toilet-roll. All these results are presented without errors. The authors of this comment believe the error analysis of measurements made in a…
Descriptors: Mathematics Instruction, Teaching Methods, Mathematical Models, Computation
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Ben Kelcey; Fangxing Bai; Amota Ataneka; Yanli Xie; Kyle Cox – Society for Research on Educational Effectiveness, 2024
We develop a structural after measurement (SAM) method for structural equation models (SEMs) that accommodates missing data. The results show that the proposed SAM missing data estimator outperforms conventional full information (FI) estimators in terms of convergence, bias, and root-mean-square-error in small-to-moderate samples or large samples…
Descriptors: Structural Equation Models, Research Problems, Error of Measurement, Maximum Likelihood Statistics
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Priemer, Burkhard; Hellwig, Julia – International Journal of Science and Mathematics Education, 2018
Estimating measurement uncertainties is important for experimental scientific work. However, this is very often neglected in school curricula and teaching practice, even though experimental work is seen as a fundamental part of teaching science. In order to call attention to the relevance of measurement uncertainties, we developed a comprehensive…
Descriptors: Measurement, Error of Measurement, Secondary School Students, Models
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Gordon, Sheldon P.; Yang, Yajun – International Journal of Mathematical Education in Science and Technology, 2017
This article takes a closer look at the problem of approximating the exponential and logarithmic functions using polynomials. Either as an alternative to or a precursor to Taylor polynomial approximations at the precalculus level, interpolating polynomials are considered. A measure of error is given and the behaviour of the error function is…
Descriptors: Mathematical Formulas, Algebra, Mathematics Activities, Error of Measurement
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Boeve-de Pauw, Jelle; Van Petegem, Peter – Environment and Behavior, 2013
Environmental values (EV) are regarded as significant precursors for environmental behavior (EB) by many scholars. The present study addresses the issue of the invariance of EV (tapped by the two-dimensional model of ecological values), and their effect on EB, across cultural contexts. In all, a total of 1,833 ten- to thirteen-year-old children…
Descriptors: Cross Cultural Studies, Foreign Countries, Cultural Context, Environmental Education
Villar, Anthony G. – ProQuest LLC, 2011
This dissertation project in applied research uses value added models to estimate learning effects in classrooms in one district under two conditions, schools piloting a reorganization and schools not yet under reorganization. The project addresses one of the current impasses in deciding how to take advantage of the variance among teachers…
Descriptors: Intervention, Academic Achievement, Teaching Methods, Scores
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Kachapova, Farida; Kachapov, Ilias – Journal of Statistics Education, 2010
Two improvements in teaching linear regression are suggested. The first is to include the population regression model at the beginning of the topic. The second is to use a geometric approach: to interpret the regression estimate as an orthogonal projection and the estimation error as the distance (which is minimized by the projection). Linear…
Descriptors: Statistics, Mathematics Instruction, Economics, Teaching Methods
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Schochet, Peter Z. – National Center for Education Evaluation and Regional Assistance, 2009
For RCTs of education interventions, it is often of interest to estimate associations between student and mediating teacher practice outcomes, to examine the extent to which the study's conceptual model is supported by the data, and to identify specific mediators that are most associated with student learning. This paper develops statistical power…
Descriptors: Statistical Analysis, Intervention, Teacher Influence, Teaching Methods
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Marsh, Herbert W.; Muthen, Bengt; Asparouhov, Tihomir; Ludtke, Oliver; Robitzsch, Alexander; Morin, Alexandre J. S.; Trautwein, Ulrich – Structural Equation Modeling: A Multidisciplinary Journal, 2009
This study is a methodological-substantive synergy, demonstrating the power and flexibility of exploratory structural equation modeling (ESEM) methods that integrate confirmatory and exploratory factor analyses (CFA and EFA), as applied to substantively important questions based on multidimentional students' evaluations of university teaching…
Descriptors: Feedback (Response), Class Size, Structural Equation Models, Construct Validity
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Sinex, Scott A; Gage, Barbara A.; Beck, Peggy J. – AMATYC Review, 2007
A simple, guided-inquiry investigation using stacked sandwich cookies is employed to develop a simple linear mathematical model and to explore measurement error by incorporating errors as part of the investigation. Both random and systematic errors are presented. The model and errors are then investigated further by engaging with an interactive…
Descriptors: Mathematical Models, Measurement, Error of Measurement, Science Process Skills