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Hidayat, Riyan; Adnan, Mazlini; Abdullah, Mohd Faizal Nizam Lee; Safrudiannur – EURASIA Journal of Mathematics, Science and Technology Education, 2022
The research presented in this article is a systematic review of the literature on the assessment of mathematical modeling in the setting of mathematics education published in the previous five years. This research has compiled the current best information from around the world to offer an overview of the assessment of mathematical modeling for…
Descriptors: Measurement, Mathematical Models, Mathematics Education, Preservice Teachers
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Benzer, Ali Ihsan; Ünal, Suat – Journal of Baltic Science Education, 2021
This research examined articles about models and modelling in the context of science education in Turkey by using content analysis method. Two specific academic databases; one of which was Dergipark, a platform including the academic journals published in Turkey, and Scholar Google were examined in detail so that totally 71 articles on models and…
Descriptors: Foreign Countries, Science Education, Mathematical Models, Educational Research
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Schukajlow, S.; Kaiser, G.; Stillman, G. – ZDM: The International Journal on Mathematics Education, 2018
The teaching and learning of mathematical modelling is an important research field all over the world. In this paper we present a survey of the state-of-the-art on empirical studies in this field. We analyse the development of studies focusing on cognitive aspects of the promotion of modelling, i.e. the promotion of modelling abilities resp.…
Descriptors: Mathematical Models, Mathematics Instruction, State of the Art Reviews, Educational Research
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Cascallar, Eduardo; Musso, Mariel; Kyndt, Eva; Dochy, Filip – Frontline Learning Research, 2014
Two articles, Edelsbrunner and, Schneider (2013), and Nokelainen and Silander (2014) comment on Musso, Kyndt, Cascallar, and Dochy (2013). Several relevant issues are raised and some important clarifications are made in response to both commentaries. Predictive systems based on artificial neural networks continue to be the focus of current…
Descriptors: Artificial Intelligence, Research Methodology, Prediction, Classification
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Çelik, H. Coskun – Educational Research and Reviews, 2017
The aim of the present study was to examine the mathematical modelling studies done between 2004 and 2015 in Turkey and to reveal their tendencies. Forty-nine studies were selected using purposeful sampling based on the term, "mathematical modelling" with Higher Education Academic Search Engine. They were analyzed with content analysis.…
Descriptors: Mathematical Models, Foreign Countries, Content Analysis, Qualitative Research
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Pigott, Therese D. – Educational Research and Evaluation: An International Journal on Theory and Practice, 2001
Reviews methods for handling missing data in a research study. Model-based methods, such as maximum likelihood using the EM algorithm and multiple imputation, hold more promise than ad hoc methods. Although model-based methods require more specialized computer programs and assumptions about the nature of missing data, these methods are appropriate…
Descriptors: Computer Software, Mathematical Models, Maximum Likelihood Statistics, Research Methodology
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Zumbo, Bruno D.; And Others – Journal of Experimental Education, 1992
An error in an essential equation within the article by Williams and Zimmerman is corrected, and the algebraic inequalities are translated into questions a researcher can ask about simple or residualized difference scores. Williams and Zimmerman acknowledge the error and note that main conclusions are not affected. (SLD)
Descriptors: Algebra, Comparative Analysis, Equations (Mathematics), Mathematical Models
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Zajonc, R. B.; And Others – American Sociological Review, 1991
Responds to "Birth Order and Intelligence: Further Tests of the Confluence Model" by Robert D. Retherford and William H. Sewell. Reviews their arguments and suggests that their analyses of the Wisconsin Longitudinal Study data support rather than contradict the model. (CJS)
Descriptors: Birth Order, Intelligence Differences, Longitudinal Studies, Mathematical Models
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Towstopiat, Olga – Contemporary Educational Psychology, 1984
The present article reviews the procedures that have been developed for measuring the reliability of human observers' judgments when making direct observations of behavior. These include the percentage of agreement, Cohen's Kappa, phi, and univariate and multivariate agreement measures that are based on quasi-equiprobability and quasi-independence…
Descriptors: Interrater Reliability, Mathematical Models, Multivariate Analysis, Observation
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Green, James A. – Child Development, 1988
Provides an introduction to loglinear analysis of cross-classification tables, including tables with nominal and ordinal variables. Compares the chi-square test of independence with the loglinear model of independence. Reviews the advantages and overall strategy of loglinear modeling. Each model discussed is applied to data from the developmental…
Descriptors: Child Psychology, Children, Correlation, Developmental Psychology
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Rindskopf, David – Contemporary Educational Psychology, 1984
Statistical methods, called latent variable models, have been developed to provide rigorous tests of theories involving unobserved variables. This paper describes the major types of latent variable models, shows how they can be applied in educational research, and gives representative examples of their use from the literature. (Author/BW)
Descriptors: Factor Analysis, Hypothesis Testing, Latent Trait Theory, Mathematical Models
Rosenthal, Robert – 1989
An overview of the state of the art in psychological research is presented, with an emphasis on the attention given to effect sizes. The acceptance of small effect sizes for biomedical research is contrasted with the rejection of similar effect sizes for psychological research. The Binomial Effect Size Display is used to depict the practical…
Descriptors: Effect Size, Mathematical Models, Meta Analysis, Psychological Studies
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Roskam, Edward E.; And Others – Multivariate Behavioral Research, 1992
First- and second-round commentaries on an article by L. Guttman are presented. The following authors responded, with two articles each: (1) E. E. Roskam and J. Ellis; (2) P. H. Schonemann; (3) A. R. Jensen; (4) J. C. Loehlin; and (5) J.-E. Gustafsson. (SLD)
Descriptors: Factor Analysis, Groups, Intelligence, Mathematical Models
Convey, John J. – 1979
The testing of a priori contrasts, post hoc contrasts, and experimental error rates are discussed. Methods for controlling the experimental error rate for a set of a priori contrasts tested simultaneously have been developed by Dunnett, Dunn, Sidak, and Krishnaiah. Each of these methods is discussed and contrasted as to applicability, power, and…
Descriptors: Comparative Analysis, Hypothesis Testing, Literature Reviews, Mathematical Models
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O'Neill, Edward T. – Library Trends, 1984
Describes operations research as an important management tool that can aid library managers in effectively using available resources and as a set of analytical tools that can enable researchers to better understand library and information services. Early history, definition, models, applications to libraries, and impact are noted. Twenty-five…
Descriptors: Libraries, Library Administration, Library Research, Library Science
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