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Gibbons, Robert D.; And Others – Journal of Educational Statistics, 1993
A distribution theory is derived for a G. V. Glass-type (1976) estimator of effect size from studies involving paired comparisons. The possibility of combining effect sizes from studies involving a mixture of related and unrelated samples is also explored. Resulting estimates are illustrated using data from previous psychiatric research. (SLD)
Descriptors: Effect Size, Equations (Mathematics), Estimation (Mathematics), Generalization
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Preece, Peter F. W. – Research Papers in Education: Policy & Practice, 2001
Quantitative algebraic and qualitative topological models can be used in the quest for simple explanations in the field of teaching and learning. The examples described cover such diverse topics as teacher anxiety and classroom control, process-product studies, aptitude-treatment interactions, the pace of instruction, the size of classes, and…
Descriptors: Algebra, Educational Research, Elementary Secondary Education, Learning
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Bergman, Lars R.; El-Khouri, Bassam M. – New Directions for Child and Adolescent Development, 2003
Methodological implications of a person-oriented, holistic-interactionistic perspective in research on individual development are outlined, desirable properties of a mathematical model of a phenomenon are discussed, and selected methods for carrying out person-oriented research are briefly overviewed. These methods are: (1) the classificatory…
Descriptors: Mathematical Models, Individual Development, Research Methodology, Multivariate Analysis
Thompson, Bruce – 1992
Various realizations have led to less frequent use of the "OVA" methods (analysis of variance--ANOVA--among others) and to more frequent use of general linear model approaches such as regression. However, too few researchers understand all the various coefficients produced in regression. This paper explains these coefficients and their…
Descriptors: Analysis of Covariance, Analysis of Variance, Heuristics, Mathematical Models
Blankmeyer, Eric – 1993
Ordinary least-squares regression treats the variables asymmetrically, designating a dependent variable and one or more independent variables. When it is not obvious how to make this distinction, a researcher may prefer to use orthogonal regression, which treats the variables symmetrically. However, the usual procedure for orthogonal regression is…
Descriptors: Equations (Mathematics), Estimation (Mathematics), Least Squares Statistics, Mathematical Models
Rogers, Bruce G. – 1983
During the past 15 years, considerable attention has been given to a conspicuous longitudinal change in grading patterns in higher education. Commonly referred to as "grade inflation," the phenomenon has been perceived by some as seriously weakening the meaning of grades but by others as reflecting a positive tendency for students to…
Descriptors: Grade Inflation, Grade Point Average, Higher Education, Longitudinal Studies
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Subkoviak, Michael J. – Review of Educational Research, 1975
Illustrated is the power of multidimensional scaling in reducing a complex set of proximity measures to a simple geometric picture that shows the relationship among data objects. Methods are discussed for determining the number of dimensions needed to represent a set. (Author/DEP)
Descriptors: Educational Research, Evaluation Methods, Factor Analysis, 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
Darom, Efraim – 1982
In an analysis of multitrait-multimethod matrices the criteria for discriminant validity are shown to include a "structure" criterion as an invariance of traits structure to methods. The criterion is meant to fit data to an additive model with traits and methods but not interaction terms. The importance of the structure criterion and the…
Descriptors: Discriminant Analysis, Evaluation Methods, Factor Structure, Mathematical Models
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Schonemann, Peter H.; And Others – Multivariate Behavioral Research, 1975
Descriptors: Algorithms, Data Analysis, Dimensional Preference, Individual Differences
Wender, Karl – 1970
Models for multidimensional scaling use metric spaces with additive difference metrics. Two important properties of additive difference metrics are decomposability and intradimensional subtractivity. A prediction was derived from these properties and tested experimentally. Eleven non-psychology students were used as subjects. Rectangles varying in…
Descriptors: Geometric Concepts, Mathematical Models, Multidimensional Scaling, Research Methodology
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Hedges, Larry V. – New Directions for Program Evaluation, 1984
The adequacy of traditional effect size measures for research synthesis is challenged. Analogues to analysis of variance and multiple regression analysis for effect sizes are presented. The importance of tests for the consistency of effect sizes in interpreting results, and problems in obtaining well-specified models for meta-analysis are…
Descriptors: Analysis of Variance, Effect Size, Mathematical Models, Meta Analysis
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Rudner, Lawrence M. – Educational and Psychological Measurement, 1983
The relationship between item parameter values obtained from independent Birnbaum (l968) model calibrations of the same item set from two different samples is examined. (Author)
Descriptors: Achievement Tests, Aptitude Tests, Item Analysis, Latent Trait Theory
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Katz, Barry M.; McSweeney, Maryellen – Journal of Experimental Education, 1984
This paper developed and illustrated a technique to analyze categorical data when subjects can appear in any number of categories for multigroup designs. Post hoc procedures to be used in conjunction with the presented statistical test are also developed. The technique is a large sample technique whose small sample properties are as yet unknown.…
Descriptors: Data Analysis, Hypothesis Testing, Mathematical Models, Research Methodology
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Blumberg, Carol Joyce; Porter, Andrew C. – Journal of Experimental Education, 1983
The general class of continuous growth models are described and examples representative of growth models suggested for various types of academic and/or physical growth are given. The fan spread hypothesis is discussed in relationship to natural growth models, as well as differential linear growth. (PN)
Descriptors: Achievement Gains, Data Analysis, Evaluation Methods, Hypothesis Testing
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