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Kneidel, Ken – American Biology Teacher, 1996
Describes a strategy to make chi-square calculations and interpretations more understandable by presenting the theory behind the test to the students in a visual manner. Involves using dihybrid corn to generate a large sample of chi-squares followed by plotting a frequency distribution to get at the meaning behind the chi-square table. (JRH)
Descriptors: Biology, Chi Square, Computation, Higher Education
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Morgan, Geoffrey – Australian Primary Mathematics Classroom, 2000
Debates the place of standard methods, the calculator, and mental mathematics in elementary education. Proposes a framework for computation that emphasizes a sequence for introducing computational procedures. (ASK)
Descriptors: Algorithms, Calculators, Computation, Elementary Education
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De Nardi, Ellita – Australian Primary Mathematics Classroom, 2000
Giving children time and encouragement to explain methods of calculation is a useful strategy. Uses this strategy with a group of children and discovers surprising thinking by one child on number facts. (ASK)
Descriptors: Computation, Elementary Education, Mathematics Instruction, Number Concepts
Lickteig, Mary J. – School Library Media Activities Monthly, 1998
Discusses childrens books about money dealing with the recognition of coins, bills, and their value; counting and calculating; minting and printing; meaning of words, symbols, and pictures on money; history; and money from around the world. Describes activities and provides a bibliography. (PEN)
Descriptors: Bibliographies, Books, Childrens Literature, Class Activities
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Dolan, Conor; van der Sluis, Sophie; Grasman, Raoul – Structural Equation Modeling: A Multidisciplinary Journal, 2005
We consider power calculation in structural equation modeling with data missing completely at random (MCAR). Muth?n and Muth?n (2002) recently demonstrated how power calculations with data MCAR can be carried out by means of a Monte Carlo study. Here we show that the method of Satorra and Saris (1985), which is based on the nonnull distribution of…
Descriptors: Computation, Monte Carlo Methods, Structural Equation Models, Statistical Analysis
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Bauer, Daniel J.; Curran, Patrick J. – Psychological Methods, 2004
Structural equation mixture modeling (SEMM) integrates continuous and discrete latent variable models. Drawing on prior research on the relationships between continuous and discrete latent variable models, the authors identify 3 conditions that may lead to the estimation of spurious latent classes in SEMM: misspecification of the structural model,…
Descriptors: Structural Equation Models, Item Response Theory, Research Methodology, Computation
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Marsh, Herbert W.; Wen, Zhonglin; Hau, Kit-Tai – Psychological Methods, 2004
Interactions between (multiple indicator) latent variables are rarely used because of implementation complexity and competing strategies. Based on 4 simulation studies, the traditional constrained approach performed more poorly than did 3 new approaches-unconstrained, generalized appended product indicator, and quasi-maximum-likelihood (QML). The…
Descriptors: Structural Equation Models, Item Analysis, Error Patterns, Computation
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Flora, David B.; Curran, Patrick J. – Psychological Methods, 2004
Confirmatory factor analysis (CFA) is widely used for examining hypothesized relations among ordinal variables (e.g., Likert-type items). A theoretically appropriate method fits the CFA model to polychoric correlations using either weighted least squares (WLS) or robust WLS. Importantly, this approach assumes that a continuous, normal latent…
Descriptors: Computer Simulation, Computation, Least Squares Statistics, Factor Analysis
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Cole, David A.; Martin, Nina C.; Steiger, James H. – Psychological Methods, 2005
The latent trait-state-error model (TSE) and the latent state-trait model with autoregression (LST-AR) represent creative structural equation methods for examining the longitudinal structure of psychological constructs. Application of these models has been somewhat limited by empirical or conceptual problems. In the present study, Monte Carlo…
Descriptors: Structural Equation Models, Computation, Longitudinal Studies, Monte Carlo Methods
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Hagglund, Gosta; Larsson, Rolf – Journal of Educational and Behavioral Statistics, 2006
In psychometrics, it is often the case that one encounters data that may not be considered random but selected in a systematic way according to some explanatory variable. In this article, maximum likelihood estimation is considered when data are supposed to arise from a bivariate normal distribution that is truncated in an extreme way. Two methods…
Descriptors: Psychometrics, Correlation, Computation, Methods
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Coppi, Renato; Giordani, Paolo; D'Urso, Pierpaolo – Psychometrika, 2006
The fuzzy perspective in statistical analysis is first illustrated with reference to the "Informational Paradigm" allowing us to deal with different types of uncertainties related to the various informational ingredients (data, model, assumptions). The fuzzy empirical data are then introduced, referring to "J" LR fuzzy variables as observed on "I"…
Descriptors: Observation, Simulation, Least Squares Statistics, Computation
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Lee, Sik-Yum; Lu, Bin – Multivariate Behavioral Research, 2003
In this article, a case-deletion procedure is proposed to detect influential observations in a nonlinear structural equation model. The key idea is to develop the diagnostic measures based on the conditional expectation of the complete-data log-likelihood function in the EM algorithm. An one-step pseudo approximation is proposed to reduce the…
Descriptors: Structural Equation Models, Computation, Mathematics, Simulation
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Volker, Martin A. – Psychology in the Schools, 2006
This article reviews the arguments for reporting effect size estimates as part of the statistical results in empirical studies. Following this review, formulas are presented for the calculation of major mean-difference and association-based effect size measures for t tests, one-way ANOVA, zero order correlation, simple regression, multiple…
Descriptors: School Psychology, Effect Size, Computation, Statistical Analysis
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Palmer, David R. J. – Journal of Chemical Education, 2004
The Diels-Alder reaction is used as an example for showing the integration of computational and preparative techniques, which help in demonstrating the physical organic concepts in synthetic organic chemistry. These experiments show that the students should not accept the computational results without questioning them and in many Diels-Alder…
Descriptors: Mechanics (Physics), Organic Chemistry, Scientific Concepts, Computation
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Brilleslyper, Michael A. – Mathematics Teacher, 2004
Application of quadratic equations to standard problem in chemistry like finding equilibrium concentrations of ions in an acid solution is explained. This clearly shows that pure mathematical analysis has meaningful applications in other areas as well.
Descriptors: Equations (Mathematics), Algebra, Problem Solving, Chemistry
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