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Ruscio, John; Ruscio, Ayelet Meron; Meron, Mati – Multivariate Behavioral Research, 2007
Meehl's taxometric method was developed to distinguish categorical and continuous constructs. However, taxometric output can be difficult to interpret because expected results for realistic data conditions and differing procedural implementations have not been derived analytically or studied through rigorous simulations. By applying bootstrap…
Descriptors: Sampling, Equated Scores, Data Interpretation, Inferences
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Dawkins, Karen R.; Dickerson, Daniel L.; McKinney, Sueanne E.; Butler, Susan – Clearing House: A Journal of Educational Strategies, Issues and Ideas, 2008
Content knowledge and pedagogical practices are of particular concern to middle school science instructors teaching density. First introduced in elementary grades with the ideas of floating and sinking, density taught in middle school is geared toward understanding through the use of mathematical formulas. Using a lesson-plan study design, the…
Descriptors: Preservice Teachers, Middle Schools, Science Teachers, Mathematical Formulas
O'Brien, Francis J., Jr. – 1983
This paper, a derivation of the multiple correlation formula for unstandardized (raw) scores, is the fourth in a series of publications. The purpose of these papers is to provide supplementary reading for students of applied statistics. The intended audience is social science graduate and advanced undergraduate students familiar with applied…
Descriptors: Correlation, Higher Education, Instructional Materials, Mathematical Formulas
Lord, Frederic M. – 1984
Given that the examinee knows the answer to item i if and only if he knows the answer to both item g and item h, a "conjunctive" item response model is found such that items g, h, and i all have the same mathematical form of response function. Since such items may occur in practice, it is desirable that item response models satisfy this…
Descriptors: Academic Ability, Achievement Tests, Latent Trait Theory, Mathematical Formulas
O'Brien, Francis J., Jr. – 1982
This paper presents in detail a proof of the limits of the sample bivariate correlation coefficient which requires only knowledge of algebra. Notation and basic formulas of standard (z) scores, bivariate correlation formulas in unstandardized and standardized form, and algebraic inequalities are reviewed first, since they are necessary for…
Descriptors: Correlation, Educational Research, Higher Education, Mathematical Formulas
Dunn-Rankin, Peter; And Others – 1981
Measuring object similarity using the method of free clustering is gaining in popularity. Instructions are usually simple and since no structure is imposed on the subject's selection, response bias is reduced. More importantly, measures of object similarity derived from the judges' clustering can be adequately analyzed by the methods of…
Descriptors: Cluster Analysis, Cluster Grouping, Computer Oriented Programs, Mathematical Formulas
Willson, Victor L. – 1977
A major deficiency in classical test theory is the reliance on Pearson product-moment (PPM) correlation concepts in the definition of reliability. PPM measures are totally insensitive to first moment differences in tests which leads to the dubious assumption of essential tan-equivalence. Robinson proposed a measure of agreement that is sensitive…
Descriptors: Comparative Analysis, Correlation, Difficulty Level, Mathematical Formulas
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Gatti, James F.; And Others – Journal of Education Finance, 1978
Report of research on consequence of introducing an income variable into a district power equalizing formula for state aid grants for education in Vermont. (PKP)
Descriptors: Economic Research, Equal Education, Equalization Aid, Finance Reform
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Skinner, C. J. – Psychometrika, 1984
Multivariate selection can be represented as a linear transformation in a geometric framework. In this note this approach is extended to describe the effects of selection on regression analysis and to adjust for the effects of selection using the inverse of the linear transformation. (Author/BW)
Descriptors: Factor Analysis, Geometric Concepts, Mathematical Formulas, Multiple Regression Analysis
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Egghe, L. – Information Processing and Management, 1988
Presents a mathematical theory that can be used to define concentration places of objects within unordered classes. The application to research on the evolution of journals and subject areas is illustrated, and an online method of calculating concentration evolution is described. (1 references) (CLB)
Descriptors: Algorithms, Bibliometrics, Classification, Databases
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Zegers, Frits E.; Ten Berge, Jos M. F. – Psychometrika, 1986
In the family of correlation suggested by Janson and Vegilius, some coefficients are generalized squared product-moment correlations and some are not. This paper advocates a family of correlations for variables of mixed scale types in which all members are generalized squared product-moment correlations. Practical advantages are explained.…
Descriptors: Correlation, Mathematical Formulas, Measures (Individuals), Proof (Mathematics)
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Mazur, Zygmunt – Information Processing and Management, 1986
Describes how operations on local inverted files are to be modified in order to use them in distributed information retrieval systems based on thesauri. The presented rules may be viewed as the logical approach in implementing a distributed retrieval system consisting of n local retrieval systems. (Author/MBR)
Descriptors: Design, Information Retrieval, Mathematical Formulas, Online Systems
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Lows, Raymond L. – Journal of Education Finance, 1984
Discusses application of the "Lorenz Curve" (a graphical representation of the concentration of wealth) with the "Gini Coefficient" (an index of inequality) to measure social inequality in school finance studies. Examines the basic assumptions of these measures and suggests a minor reconception. (MCG)
Descriptors: Economic Status, Educational Research, Mathematical Formulas, Measurement Techniques
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Michelson, Irving – School Science and Mathematics, 1974
Descriptors: Astronomy, Lunar Research, Mathematical Applications, Mathematical Formulas
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Bahe, Lowell W. – School Science and Mathematics, 1974
Descriptors: Algorithms, Chemistry, Computation, Mathematical Applications
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