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Showing 1 to 15 of 25 results Save | Export
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Asempapa, Reuben S. – School Science and Mathematics, 2019
This article describes the development, initial validation, and psychometric evaluation of the mathematical modeling attitude scale (MMAS). Specifically, both qualitative and quantitative techniques were used to generate relevant items. The MMAS assesses K-12 teachers' attitude toward mathematical modeling and examines their experiences with…
Descriptors: Attitude Measures, Mathematical Models, Test Construction, Psychometrics
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McDonald, Roderick P. – Educational and Psychological Measurement, 1978
It is shown that if a behavior domain can be described by the common factor model with a finite number of factors, the squared correlation between the sum of a selection of items and the domain total score is actually greater than coefficient alpha. (Author/JKS)
Descriptors: Factor Analysis, Item Analysis, Mathematical Models, Measurement
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Werts, C. E.; And Others – Educational and Psychological Measurement, 1978
A procedure for estimating the reliability of a factorially complex composite is considered. An application of its use with Scholastic Aptitude Test data is provided. (Author/JKS)
Descriptors: Correlation, Factor Analysis, Mathematical Models, Matrices
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Werts, Charles E.; Linn, Robert L. – Educational and Psychological Measurement, 1972
Descriptors: Analysis of Variance, Correlation, Factor Analysis, Mathematical Models
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Joe, George W.; Mendoza, Jorge L. – Journal of Educational Statistics, 1989
A response to comments on internal correlation for statistical analysis, as proposed by the present authors (1989), is provided. Focus is on issues raised by W. W. Rozeboom (1989). Comments by J. H. Schuenemeyer (1989) and R. Bargmann (1989) are briefly considered. (TJH)
Descriptors: Correlation, Factor Analysis, Generalization, Mathematical Models
Werts, Charles E.; Linn, Robert L. – 1972
Given multiple independent measures of an underlying true factor and information on group membership, it is possible to compute a set of observed group means for each measure. Given at least three tests, these sets of means may be used to compute the reliability of the means for each test. The procedure for estimating true scores from the…
Descriptors: Factor Analysis, Mathematical Models, Research, Research Reports
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Werts, C. E.; And Others – Multivariate Behavioral Research, 1980
This paper demonstrates how the problem of calibrating measures can be formulated in terms of confirmatory factor analysis. The relationships between traditional approaches and a confirmatory factor approach are specified. (Author/CTM)
Descriptors: Achievement Tests, Equated Scores, Factor Analysis, Intermediate Grades
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Joe, George W.; Mendoza, Jorge L. – Journal of Educational Statistics, 1989
The internal correlation--a measure of dependency in a set of variables--is discussed and generalized. Applications of the internal correlation coefficient and its generalizations are given for several data-analytic situations. The internal correlation is illustrated and the concept is expanded to a series of additional indices. (TJH)
Descriptors: Correlation, Equations (Mathematics), Factor Analysis, Generalization
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Rozeboom, William W. – Journal of Educational Statistics, 1989
Use of internal correlation for statistical analysis--proposed by G. W. Joe and J. L. Mendoza (1989)--is discussed. Focus is on the "content" question (what this application can do with the information that statistics contain) and the "eloquence" question (the advantages of this means of encoding information over other means). (TJH)
Descriptors: Correlation, Equations (Mathematics), Factor Analysis, Generalization
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Knott, M.; Bartholomew, D. J. – Psychometrika, 1993
Scoring of response vectors to give maximum test-retest correlation is investigated. A general method is given for finding the best scores, deriving them for the normal factor model, and showing that for a standard model for binary response it is easy to approximate the best scores. (SLD)
Descriptors: Correlation, Equations (Mathematics), Factor Analysis, Mathematical Models
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Cadwell, Joel; Pullis, Michael – Journal of Educational Psychology, 1983
The factorial invariance of a temperament questionnaire was studied using the data provided by 24 teachers of 564 kindergarten through fourth-grade children. A LISREL analysis supported the hypothesized three-factor model and established factorial invariance of the shortened version of a behavioral rating scale constructed by Thomas and Chess.…
Descriptors: Affective Measures, Behavior Rating Scales, Elementary Education, Factor Analysis
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Joreskog, K. G. – Psychometrika, 1971
Descriptors: Correlation, Factor Analysis, Goodness of Fit, Mathematical Models
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Larsson, Bernt – 1974
This report gives some simple examples of stability for one factor and 2 x 2 factorial analysis of variance, reliability and correlations. The findings are very different: from superstability (no transformation whatsoever can change the result) to almost total instability. This is followed by a discussion of applications to multivariate analysis,…
Descriptors: Analysis of Variance, Correlation, Discriminant Analysis, Factor Analysis
Gleser, Leon Jay – 1971
An attempt is made to indicate why the concept of "true score" naturally leads to the belief that test validity must increase with an increase in test and/or average item reliability, and why this is correct for the classical single-factor model first introduced by Spearman. The statistical model used by Loevinger is introduced to…
Descriptors: Factor Analysis, Item Analysis, Mathematical Models, Measurement Techniques
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Ofir, Chezy; And Others – Multivariate Behavioral Research, 1987
Three frequently used response formats are compared via analysis of covariance structures. The cumulative results based on four data sets provided evidence inconsistent with previous research suggesting that these formats are interchangeable. The semantic-differential format is most preferred while in most cases the Stapel format is least…
Descriptors: Analysis of Covariance, Factor Analysis, Hypothesis Testing, Mathematical Models
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