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Shine II, Lester C. – Educational and Psychological Measurement, 1982
The Shine-Bower single subject ANOVA is extended to a multivariate case, with one example assuming between-variate dependencies among within-subject errors and the second assuming no between-variate dependencies among within-subject errors. Standard and simplified multivariate ANOVA procedures are used, respectively. (Author/CM)
Descriptors: Analysis of Variance, Error of Measurement, Multivariate Analysis, Statistical Analysis
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Kane, Michael T.; Brennan, Robert L. – Review of Educational Research, 1977
Dependability of class means is analyzed by applying generalizability to a split-plot design with students nested within classes. Basic generalizability concepts are reviewed, and the derivation and interpretation of distinct generalizability concepts are discussed. Four generalizability coefficients are compared with each other and with the three…
Descriptors: Analysis of Variance, Correlation, Error of Measurement, Program Evaluation
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Forsyth, Robert A. – Applied Psychological Measurement, 1978
This note shows that, under conditions specified by Levin and Subkoviak (TM 503 420), it is not necessary to specify the reliabilities of observed scores when comparing completely randomized designs with randomized block designs. Certain errors in their illustrative example are also discussed. (Author/CTM)
Descriptors: Analysis of Variance, Error of Measurement, Hypothesis Testing, Reliability
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Levin, Joel R.; Subkoviak, Michael J. – Applied Psychological Measurement, 1978
Comments (TM 503 706) on an earlier article (TM 503 420) concerning the comparison of the completely randomized design and the randomized block design are acknowledged and appreciated. In addition, potentially misleading notions arising from these comments are addressed and clarified. (See also TM 503 708). (Author/CTM)
Descriptors: Analysis of Variance, Error of Measurement, Hypothesis Testing, Reliability
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Forsyth, Robert A. – Applied Psychological Measurement, 1978
This note continues the discussion of earlier articles (TM 503 420, TM 503 706, and TM 503 707), comparing the completely randomized design with the randomized block design. (CTM)
Descriptors: Analysis of Variance, Error of Measurement, Hypothesis Testing, Reliability
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Smith, Brandon B. – Journal of Vocational Education Research, 1984
This article focuses on steps in conducting empirical-analytic research and the problems of controlling for or estimating three sources of error: the amount of measurement error, research design error, and the amount of statistical or sampling error. (Author/CT)
Descriptors: Analysis of Covariance, Analysis of Variance, Error of Measurement, Objectivity
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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
Hedges, Larry V. – 1982
Meta-analysis has become an important supplement to traditional methods of research reviewing, although many problems must be addressed by the reviewer who carries out a meta-analysis. These problems include identifying and obtaining appropriate studies, extracting estimates of effect size from the studies, coding or classifying studies, analyzing…
Descriptors: Analysis of Variance, Correlation, Error of Measurement, Mathematical Models
Stanley, Julian C.; Livingston, Samuel A. – 1971
Besides the ubiquitous Pearson product-moment r, there are a number of other measures of relationship that are attenuated by errors of measurement and for which the relationship between true measures can be estimated. Among these are the correlation ratio (eta squared), Kelley's unbiased correlation ratio (epsilon squared), Hays' omega squared,…
Descriptors: Analysis of Variance, Cluster Grouping, Correlation, Data Analysis
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Horn, John L. – Educational and Psychological Measurement, 1971
Descriptors: Analysis of Variance, Error of Measurement, Hypothesis Testing, Mathematical Models
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Hsu, Louis M. – Educational and Psychological Measurement, 1980
In two treatment-repeated measurements designs, the ratio between the unbiased variance of the differences and twice the variance of the errors of measurement can be used to test for interaction of subjects and treatments. The use of this statistic is illustrated. (Author/CP)
Descriptors: Analysis of Variance, Aptitude Tests, Error of Measurement, Mathematical Formulas
Lunneborg, Clifford E. – 1983
The wide availability of large amounts of inexpensive computing power has encouraged statisticians to explore many approaches to a basis for inference. This paper presents one such "computer-intensive" approach: the bootstrap of Bradley Efron. This methodology fits between the cases where it is assumed that the form of the distribution…
Descriptors: Analysis of Variance, Error of Measurement, Estimation (Mathematics), Hypothesis Testing
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Garrison, Dean H. – Physics Teacher, 1975
Describes an activity designed to introduce concepts of randomness and standard deviation. (CP)
Descriptors: Analysis of Variance, College Science, Error of Measurement, Experiments
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Good, Ron – 1980
Knowledge of the magnitude of effect(s) of an experimental study in science education should be of utmost concern to researchers in the field, but is often not reported. This document describes the concept of "explained variance" in analysis of variance designs and then explains how it can be calculated and reported. Reporting the magnitude of…
Descriptors: Analysis of Variance, Error of Measurement, Research, Research Design
CLEARY, T.A.; LINN, ROBERT L. – 1967
THE PURPOSE OF THIS RESEARCH WAS TO STUDY THE EFFECT OF ERROR OF MEASUREMENT UPON THE POWER OF STATISTICAL TESTS. ATTENTION WAS FOCUSED ON THE F-TEST OF THE SINGLE FACTOR ANALYSIS OF VARIANCE. FORMULAS WERE DERIVED TO SHOW THE RELATIONSHIP BETWEEN THE NONCENTRALITY PARAMETERS FOR ANALYSES USING TRUE SCORES AND THOSE USING OBSERVED SCORES. THE…
Descriptors: Analysis of Variance, Error of Measurement, Measurement Techniques, Psychological Testing
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