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Kristof, Walter – Psychometrika, 1973
Paper is concerned with the hypothesis that two variables have a perfect disattenuated correlation, hence measure the same trait except for errors of measurement. (Author/RK)
Descriptors: Analysis of Variance, Correlation, Error of Measurement, Mathematical Models

Fisicaro, Sebastiano A.; Lautenschlager, Gary J. – Educational and Psychological Measurement, 1992
An equation derived by W. A. Nicewander and J. M. Price relating statistical power to reliability of dependent variable measures when true score regression is homogeneous across treatment conditions is enhanced through overcoming the problem of directly estimating the squared linear correlation between true scores for X and Y. (SLD)
Descriptors: Analysis of Variance, Correlation, Equations (Mathematics), Estimation (Mathematics)

Horn, John L. – Educational and Psychological Measurement, 1971
Descriptors: Analysis of Variance, Error of Measurement, Hypothesis Testing, Mathematical Models

Novick, Melvin R.; And Others – Psychometrika, 1971
Descriptors: Analysis of Variance, Bayesian Statistics, Error of Measurement, Mathematical Models
Edwards, Keith J. – 1971
This paper, a revision of the original document, "Correcting Partial, Multiple, and Canonical Correlations for Attenuation" (see TM 000 535), presents the formula for correcting coefficients of partial correlation for attenuation due to errors of measurement. In addition, the correction for attenuation formulas for multiple and cannonical…
Descriptors: Algebra, Analysis of Variance, Correlation, Data Analysis

Kopriva, Rebecca J.; Shaw, Dale G. – Educational and Psychological Measurement, 1991
The degree to which reliability affects the power of analysis of variance (ANOVA) tests involving one factor with two and three samples was quantified and tabulated by taking into account sample size, level of significance, and true score effect size. Results confirm a substantial effect on power. (SLD)
Descriptors: Analysis of Variance, Effect Size, Equations (Mathematics), Estimation (Mathematics)

Huck, Schuyler W.; And Others – Educational and Psychological Measurement, 1981
Believing that examinee-by-item interaction should be conceptualized as true score variability rather than as a result of errors of measurement, Lu proposed a modification of Hoyt's analysis of variance reliability procedure. Via a computer simulation study, it is shown that Lu's approach does not separate interaction from error. (Author/RL)
Descriptors: Analysis of Variance, Comparative Analysis, Computer Programs, Difficulty Level
Brennan, Robert L. – 1977
Rules, procedures, and algorithms intended to aid researchers and practitioners in the application of generalizability theory to a broad range of measurement problems are presented. Two examples of measurement research are G studies, which examine the dependability of some general measurement procedure; and D studies, which provide the data for…
Descriptors: Analysis of Variance, Error of Measurement, Mathematical Models, Measurement

Rogosa, David; Ghandour, Ghassan – Journal of Educational Statistics, 1991
Natural statistical models based on renewal processes for individuals' Behavior Stream are developed. For continuous observation, statistical and psychometric properties are obtained for empirical: (1) rates of behavior; (2) proportions of behavior type; (3) prevalence; and (4) event duration. Results provide a guide for design and analysis. (SLD)
Descriptors: Analysis of Variance, Behavior Patterns, Behavioral Science Research, Classroom Observation Techniques
Dickinson, Terry L. – 1985
The general linear model was described, and the influence that measurement errors have on model parameters was discussed. In particular, the assumptions of classical true-score theory were used to develop algebraic relationships between the squared multiple correlations coefficient and the regression coefficients in the infallible and fallible…
Descriptors: Analysis of Covariance, Analysis of Variance, Correlation, Error of Measurement

Littlefield, John H.; And Others – 1977
Generalizability theory extends previous methods of estimating the reliability of rating instruments such that one can estimate the precision of a measurement system for differentiating among students, scales, or any other important dimension. In this study, generalizability theory is applied to faculty ratings of junior and senior dental students…
Descriptors: Analysis of Variance, Clinical Experience, College Faculty, Data Collection