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The Proper Sequence for Correcting Correlation Coefficients for Range Restriction and Unreliability.

Stauffer, Joseph M.; Mendoza, Jorge L. – Psychometrika, 2001
Uses classical test theory to show that it is the nature of the range restriction, rather than the nature of the available reliability coefficient, that determines the sequence for applying corrections for range restriction and unreliability. Shows how the common rule of thumb for choosing the sequence is tenable only when the correction does not…
Descriptors: Correlation, Reliability, Selection, Test Theory

Morrison, Donald G. – Psychometrika, 1981
A simple stochastic model is formulated in order to determine the optimal time between the first test and the second test when the test-retest method of assessing reliability is used. A forgetting process and a change in true score process are postulated. Some numerical examples and suggestions are presented. (Author/JKS)
Descriptors: Correlation, Test Reliability, Test Theory, True Scores

Messick, Samuel – Psychometrika, 1981
Bond criticized the base-free measure of change proposed by Tucker, Damarin, and Messick by pointing to an incorrect derivation which is here viewed instead as a correct derivation entailing an inadequately specified assumption. Bond's revision leads to negatively biased estimates, whereas the original approach leads to unbiased estimates.…
Descriptors: Algorithms, Change, Correlation, Mathematical Formulas

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
Krijnen, Wim P. – Psychometrika, 2004
In many instances it is reasonable to assume that the population covariance matrix has positive elements. This assumption implies for the single factor analysis model that the loadings and regression weights for best linear factor prediction are positive. For the multiple factor analysis model where each variable loads on a single factor and a…
Descriptors: Test Theory, Structural Equation Models, Factor Analysis, Prediction

Kraemer, Helena Chmura – Psychometrika, 1981
Limitations and extensions of Feldt's approach to testing the equality of Cronbach's alpha coefficients in independent and matched samples are discussed. In particular, this approach is used to test equality of intraclass correlation coefficients. (Author)
Descriptors: Analysis of Variance, Correlation, Hypothesis Testing, Mathematical Models

Andersen, Erling B. – Psychometrika, 1985
A model for longitudinal latent structure analysis was proposed that combined the values of a latent variable at two time points in a two-dimensional latent density. The correlation coefficient between the two values of the latent variable can then be estimated. (NSF)
Descriptors: Correlation, Latent Trait Theory, Mathematical Models, Maximum Likelihood Statistics

Thayer, Dorothy T. – Psychometrika, 1983
Estimation techniques for generating the covariance matrix for two new tests and an existing test without the necessity of any examinee having to take two complete tests is presented. An application of these techniques to linear, observed-score, test equating is presented. (Author/JKS)
Descriptors: Correlation, Equated Scores, Estimation (Mathematics), Matrices

Schulman, Robert S. – Psychometrika, 1979
An alternative to the uniform probability distribution model for ordinal data is considered. Implications for statistics and for test theory are discussed. (JKS)
Descriptors: Career Development, Correlation, Mathematical Models, Nonparametric Statistics