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Baker, Mark D.; Baker, A. David – Journal of Chemical Education, 2010
The Madelung constants for binary ionic nanoparticles are determined. The computational method described here sums the Coulombic interactions of each ion in the particle without the use of partial charges commonly used for bulk materials. The results show size-dependent lattice energies. This is a useful concept in teaching how properties such as…
Descriptors: Molecular Structure, Chemistry, Models, Computation
Moses, Tim; Miao, Jing; Dorans, Neil J. – Journal of Educational and Behavioral Statistics, 2010
In this study, the accuracies of four strategies were compared for estimating conditional differential item functioning (DIF), including raw data, logistic regression, log-linear models, and kernel smoothing. Real data simulations were used to evaluate the estimation strategies across six items, DIF and No DIF situations, and four sample size…
Descriptors: Test Bias, Statistical Analysis, Computation, Comparative Analysis
Liu, Xiaofeng Steven – Journal of Educational and Behavioral Statistics, 2010
This article provides a way to determine adequate sample size for the confidence interval of covariate-adjusted mean difference in randomized experiments. The standard error of adjusted mean difference depends on covariate variance and balance, which are two unknown quantities at the stage of planning sample size. If covariate observations are…
Descriptors: Sample Size, Computation, Statistical Analysis, Error of Measurement
Raykov, Tenko; Marcoulides, George A. – Journal of Educational and Behavioral Statistics, 2010
A latent variable modeling method is outlined for constructing a confidence interval (CI) of a popular multivariate effect size measure. The procedure uses the conventional multivariate analysis of variance (MANOVA) setup and is applicable with large samples. The approach provides a population range of plausible values for the proportion of…
Descriptors: Multivariate Analysis, Effect Size, Computation, Statistical Analysis
Algina, James; Keselman, H. J.; Penfield, Randall D. – Educational and Psychological Measurement, 2010
The increase in the squared multiple correlation coefficient ([delta]R[superscript 2]) associated with a variable in a regression equation is a commonly used measure of importance in regression analysis. Algina, Keselman, and Penfield found that intervals based on asymptotic principles were typically very inaccurate, even though the sample size…
Descriptors: Computation, Statistical Analysis, Correlation, Statistical Inference
Mohapatra, Amar Kumar; Prakash, Nupur – International Journal of Mathematical Education in Science and Technology, 2010
This note proposes a unique solutions to find out the value of x, y and z which satisfies the equation x[superscript 2] + y[superscript 2] = z[superscript 2]. The uniqueness of the proposed formulae is to find the total number of y's and z's at a given value of x. The value of y and z can be calculated by factoring x[superscript 2] or…
Descriptors: Mathematical Formulas, Computation, Mathematics Instruction, Equations (Mathematics)
Lee, Sik-Yum; Song, Xin-Yuan; Cai, Jing-Heng – Structural Equation Modeling: A Multidisciplinary Journal, 2010
Analysis of ordered binary and unordered binary data has received considerable attention in social and psychological research. This article introduces a Bayesian approach, which has several nice features in practical applications, for analyzing nonlinear structural equation models with dichotomous data. We demonstrate how to use the software…
Descriptors: Bayesian Statistics, Structural Equation Models, Computer Software, Computation
Bentler, Peter M.; Satorra, Albert – Psychological Methods, 2010
When using existing technology, it can be hard or impossible to determine whether two structural equation models that are being considered may be nested. There is also no routine technology for evaluating whether two very different structural models may be equivalent. A simple nesting and equivalence testing (NET) procedure is proposed that uses…
Descriptors: Structural Equation Models, Testing, Simulation, Sampling
Almada, Carlos – International Journal of Mathematical Education in Science and Technology, 2010
In this study, we show how to construct a function from the set N of natural numbers that explicitly counts the set Q[superscript +] of all positive rational numbers using a very intuitive approach. The function has the appeal of Cantor's function and it has the advantage that any high school student can understand the main idea at a glance…
Descriptors: Numbers, Mathematics Instruction, Secondary School Mathematics, Computation
Miller, Brian W.; Brewer, William F. – International Journal of Science Education, 2010
Previous empirical studies using multiple-choice procedures have suggested that there are misconceptions about the scale of astronomical distances. The present study provides a quantitative estimate of the nature of this misconception among US university students by asking them, in an open-ended response format, to make estimates of the distances…
Descriptors: Astronomy, Misconceptions, Scientific Concepts, Undergraduate Students
van der Linden, Wim J.; Glas, Cees A. W. – Psychometrika, 2010
Three plausible assumptions of conditional independence in a hierarchical model for responses and response times on test items are identified. For each of the assumptions, a Lagrange multiplier test of the null hypothesis of conditional independence against a parametric alternative is derived. The tests have closed-form statistics that are easy to…
Descriptors: Test Items, Computation, Responses, Reaction Time
Bijleveld, Erik; Custers, Ruud; Aarts, Henk – Cognition, 2010
While both conscious and unconscious reward cues enhance effort to work on a task, previous research also suggests that conscious rewards may additionally affect speed-accuracy tradeoffs. Based on this idea, two experiments explored whether reward cues that are presented above (supraliminal) or below (subliminal) the threshold of conscious…
Descriptors: Cues, Rewards, Hyperactivity, Experiments
Chesney, Marlene – Australian Primary Mathematics Classroom, 2013
Marlene Chesney describes a piece of research where the participants were asked to complete a calculation, 16 + 8, and then asked to describe how they solved it. The diversity of invented strategies will be of interest to teachers along with the recommendations that are made. So "how do 'you' solve 16 + 8?"
Descriptors: Mathematics Instruction, Mental Computation, Mathematical Logic, Addition
Schochet, Peter Z. – Journal of Educational and Behavioral Statistics, 2013
In school-based randomized control trials (RCTs), a common design is to follow student cohorts over time. For such designs, education researchers usually focus on the place-based (PB) impact parameter, which is estimated using data collected on all students enrolled in the study schools at each data collection point. A potential problem with this…
Descriptors: Student Mobility, Scientific Methodology, Research Design, Intervention
Bartkovich, Kevin G. – Mathematics Teacher, 2013
The standard for measuring fuel efficiency in the U.S. has been miles per gallon (mpg). However, the Environmental Protection Agency's (EPA) switch in rating fuel efficiency from miles per gallon to gallons per hundred miles with the 2013 model-year cars leads to interesting and relevant mathematics with real-world connections. By modeling…
Descriptors: Efficiency, Fuels, Energy Education, Fuel Consumption

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