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Ferrucci, Beverly J.; Yeap, Ban-Har; Carter, Jack A. – Mathematics Teaching in the Middle School, 2003
Illustrates a modeling approach used by Singapore educators to teach mathematical skills and concepts in a problem-solving environment. (Contains 11 references.) (YDS)
Descriptors: Algebra, Arithmetic, Elementary Education, Foreign Countries
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Kohler, Angela D. A. – Mathematics Teacher, 2002
Presents an activity in which students predict the growth of the population of the United Stated using three different models. (Author/NB)
Descriptors: Calculus, Data Analysis, Mathematical Applications, Mathematical Models
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Berry, John; Nyman, Melvin A. – International Journal of Mathematical Education in Science and Technology, 2002
Discusses a team-oriented formal testing method used in a mathematical modeling course taught during the Alma College intensive spring term. Asks the question, If a collaborative teaching method is used, how does one assess students' acquisition of problem-solving and mathematical-thinking skills? (Author/MM)
Descriptors: Educational Strategies, Evaluation, Higher Education, Mathematical Models
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Kelderman, Henk; Macready, George B. – Journal of Educational Measurement, 1990
Loglinear latent class models are used to detect differential item functioning (DIF). Likelihood ratio tests for assessing the presence of various types of DIF are described, and these methods are illustrated through the analysis of a "real world" data set. (TJH)
Descriptors: Difficulty Level, Equations (Mathematics), Item Bias, Item Response Theory
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Rorvig, Mark E. – Journal of the American Society for Information Science, 1990
Reports on a test of the applicability of the theory of General Scalability to documents in terms of transitivity, substitutability, and independence. Implications for the construction of test collections in information retrieval research are examined. (24 references) (EAM)
Descriptors: Goodness of Fit, Information Retrieval, Information Theory, Least Squares Statistics
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Mislevy, Robert J.; Sheehan, Kathleen M. – Psychometrika, 1989
Standard procedures for estimating item parameters in item response theory ignore collateral information that may be available about examinees. Circumstances under which collateral information about examinees may be used to make inferences about item parameters more precise and circumstances under which collateral information must be used are…
Descriptors: Equations (Mathematics), Estimation (Mathematics), Item Response Theory, Mathematical Models
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Spray, Judith A.; Welch, Catherine J. – Journal of Educational Measurement, 1990
The effect of large, within-examinee item difficulty variability on estimates of the proportion of consistent classification of examinees into mastery categories was studied over 2 test administrations for 100 simulated examinees. The proportion of consistent classifications was adequately estimated using the technique proposed by M. Subkoviak…
Descriptors: Classification, Difficulty Level, Estimation (Mathematics), Item Response Theory
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Carson, Kenneth P.; And Others – Educational and Psychological Measurement, 1990
The utility of the fail-safe "N" statistic was evaluated by computing it for studies in three organizational research domains in which discrepant conclusions were reached by initial and subsequent meta-analyses. Calculation of the fail-safe "N" may have led to more cautious interpretations. Implications for meta-analyses are…
Descriptors: Comparative Analysis, Effect Size, Evaluation Methods, Institutional Research
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Gross, Alan L. – Psychometrika, 1990
A model is proposed for investigating test validity as a predictor of a criterion variable when there are both missing and censored scores in the data set. Implications for maximum likelihood estimation are discussed, and the method is illustrated with hypothetical data sets. (SLD)
Descriptors: Equations (Mathematics), Mathematical Models, Maximum Likelihood Statistics, Predictive Measurement
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Guttman, Irwin; Olkin, Ingram – Journal of Educational Statistics, 1989
A model for student retention and attrition is presented. Focus is on alternative models for the "dampening" in attrition rates as educational programs progress. Maximum likelihood estimates for the underlying parameters in each model and a Bayesian analysis are provided. (TJH)
Descriptors: Bayesian Statistics, Grade Repetition, Mathematical Formulas, Mathematical Models
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Wilson, Mark – Journal of Educational Statistics, 1989
An empirical sampling approach was used to assess the accuracy of a Taylor approximation for the estimation of sampling errors. The sampling errors were in the statistics involved in estimating a path model based on medium-sized samples gathered using five sample designs commonly used in educational research. (TJH)
Descriptors: Educational Research, Error of Measurement, Estimation (Mathematics), Mathematical Models
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Lehmann, Donald R.; Gupta, Sunil – Applied Psychological Measurement, 1989
Path Analysis of Covariance Matrix (PACM) is described as a way to separately estimate measurement and structural models using standard least squares procedures. PACM was empirically compared to simultaneous maximum likelihood estimation and use of the LISREL computer program, and its advantages are identified. (SLD)
Descriptors: Estimation (Mathematics), Least Squares Statistics, Mathematical Models, Maximum Likelihood Statistics
Peer reviewed Peer reviewed
Sandler, Stanley I. – Chemical Engineering Education, 1990
Establishes a theoretical basis for both understanding and testing the molecular level assumptions in mixtures. Considers activity coefficient models and equation of state mixing rules. (YP)
Descriptors: Chemical Engineering, Computer Simulation, Engineering, Equations (Mathematics)
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Velicer, Wayne F.; Jackson, Douglas N. – Multivariate Behavioral Research, 1990
Situations for which the researcher should use component analysis versus common factor analysis are discussed. Topics addressed include key algebraic similarities and differences, theoretical and practical issues, the factor indeterminacy issue, latent versus manifest variables, and differences between exploratory and confirmatory analysis…
Descriptors: Algebra, Comparative Analysis, Factor Analysis, Literature Reviews
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Chou, Chih-Ping; Bentler, P. M. – Multivariate Behavioral Research, 1990
The empirical performance under null/alternative hypotheses of the likelihood ratio difference test (LRDT); Lagrange Multiplier test (evaluating the impact of model modification with a specific model); and Wald test (using a general model) were compared. The new tests for covariance structure analysis performed as well as did the LRDT. (RLC)
Descriptors: Analysis of Covariance, Comparative Analysis, Hypothesis Testing, Mathematical Models
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