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Yuliardi, Ricki; Rosjanuardi, Rizky – Journal of Research and Advances in Mathematics Education, 2021
The relationship between spatial conceptions and students' spatial abilities is still rarely studied specifically, even though this is the basis for students to think in learning geometry. This paper aims to explore spatial abilities and the development of spatial ability theory, discusses the relationship between spatial conceptions in students'…
Descriptors: Spatial Ability, Transformations (Mathematics), Geometry, Geometric Concepts
Almehrizi, Rashid S. – Applied Psychological Measurement, 2013
The majority of large-scale assessments develop various score scales that are either linear or nonlinear transformations of raw scores for better interpretations and uses of assessment results. The current formula for coefficient alpha (a; the commonly used reliability coefficient) only provides internal consistency reliability estimates of raw…
Descriptors: Raw Scores, Scaling, Reliability, Computation
Osborne, Jason W. – Practical Assessment, Research & Evaluation, 2010
Many of us in the social sciences deal with data that do not conform to assumptions of normality and/or homoscedasticity/homogeneity of variance. Some research has shown that parametric tests (e.g., multiple regression, ANOVA) can be robust to modest violations of these assumptions. Yet the reality is that almost all analyses (even nonparametric…
Descriptors: Social Sciences, Regression (Statistics), Nonparametric Statistics, Data
Lann, Avital – Teaching Statistics: An International Journal for Teachers, 2008
This short article gives a geometrical interpretation of the relationship between the harmonic mean, the arithmetic mean and the self-weighted mean. (Contains 1 figure.)
Descriptors: Geometric Concepts, Geometry, Transformations (Mathematics), Correlation

Levy, Kenneth J. – Psychometrika, 1975
Descriptors: Correlation, Models, Sampling, Transformations (Mathematics)

Cliff, Norman – Multivariate Behavioral Research, 1996
It is argued that ordinal statistical methods are often more appropriate than their more common counterparts because conclusions will be unaffected by monotonic transformation of the variables; they are more statistically robust when used appropriately; and they often correspond more closely to the researcher's goals. (SLD)
Descriptors: Correlation, Research Design, Statistical Analysis, Transformations (Mathematics)
Kristof, Walter – 1971
The main purpose of this paper consists in deriving means for making statistical inferences about the distribution of u under the conditions of sigma' is equal to sigma" and sigma' is not equal to sigma". An application of the results to coefficient alpha is appended as an illustration. (CK)
Descriptors: Correlation, Mathematical Applications, Statistical Analysis, Statistics

Zegers, Frits E.; ten Berge, Jos M. F. – Psychometrika, 1985
Four types of metric scales are distinguished: absolute, ratio, difference, and interval. A general coefficient of association for two variables of the same scale type is developed which reduces to specific coefficients of association for each scale type. (NSF)
Descriptors: Correlation, Mathematical Models, Scaling, Test Theory

Janson, Svante; Vegelius, Jan – Multivariate Behavioral Research, 1982
The problem of correlating variables from different scale types is discussed. A general correlation coefficient, based on symmetrization theory, is derived. The coefficient is invariant over permitted transformations of the variables for their respective (possibly nonequivalent) scale types. (Author/JKS)
Descriptors: Correlation, Data Analysis, Research Problems, Scaling

Rasmussen, Jeffrey Lee – Educational and Psychological Measurement, 1989
A Monte Carlo simulation was used to investigate the effect of data transformation on average correlations between Job Descriptive Index scores. In general, results indicate that transformation of scores did not result in marked changes in the correlations and that such transformation may not be worthwhile. (SLD)
Descriptors: Correlation, Evaluation Methods, Job Analysis, Scores

Schonemann, Peter H.; Wang, Ming-Mei – Psychometrika, 1972
Relations between maximum likelihood factor analysis and factor indeterminacy are discussed. (CK)
Descriptors: Algorithms, Correlation, Factor Analysis, Factor Structure

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)

Huck, Schuyler W. – Educational and Psychological Measurement, 1992
Three factors that increase score variability yet can be associated with an increase, a decrease, or no change in Pearson's correlation coefficient (r) are discussed (restriction of range, errors of measurement, and linear transformations of data). The connection between changes in variability and r depends on how changes occur. (SLD)
Descriptors: Correlation, Equations (Mathematics), Error of Measurement, Groups
Ping, Chieh-min; Tucker, Ledyard R. – 1976
Prediction for a number of criteria from a set of predictor variables in a system of regression equations is studied with the possibilities of linear transformations applied to both the criterion and predictor variables. Predictive composites representing a battery of predictor variables provide identical estimates of criterion scores as do the…
Descriptors: Correlation, Factor Analysis, Matrices, Multiple Regression Analysis
Thorndike, Robert M. – 1971
To study the applicability of simple structure logic for factorial data from scientific disciplines outside psychology, four correlation matrices from each of six scientific areas were factor analyzed by five factoring methods. Resulting factor matrices were compared on two objective criteria of simple structure before and after rotation.…
Descriptors: Correlation, Criteria, Factor Analysis, Factor Structure