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Bell, John F. – Journal of Educational Statistics, 1985
This paper outlines the problems associated with the estimation of variance components in generalizability analyses using analysis of variance software, and discusses the most useful software currently available for this specialist application: the MIVQUE method of the Statistical Analysis System (SAS) procedure VARCOMP. (Author)
Descriptors: Analysis of Variance, Computer Software, Generalizability Theory, Matrices
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Bost, James E. – Applied Psychological Measurement, 1995
Simulations demonstrate the effects of correlated errors on the person-by-occasion design in which the confounding effect of equal time intervals results in correlated error terms in the linear model. Two specific error correlation structures were examined. Conditions under which underestimation and overestimation occur are discussed. (SLD)
Descriptors: Analysis of Variance, Correlation, Estimation (Mathematics), Generalizability Theory
Chastain, Robert L.; Willson, Victor L. – 1986
Generalizability theory is based upon analysis of variance (ANOVA) and requires estimation of variance components for the ANOVA design under consideration in order to compute either G (Generalizability) or D (Decision) coefficients. Estimation of variance components has a number of alternative methods available using SAS, BMDP, and ad hoc…
Descriptors: Analysis of Variance, Computer Software, Correlation, Estimation (Mathematics)
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Goodwin, Laura D.; Goodwin, William L. – Journal of Early Intervention, 1991
Four approaches to estimating interrater reliability in early childhood special education research are illustrated and compared: correlation, comparison of means, percentage of agreement, and generalizability theory techniques. Generalizability theory techniques are proposed as a method for estimating the amount of variance attributable to…
Descriptors: Analysis of Variance, Disabilities, Early Childhood Education, Educational Research
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Hopkins, Kenneth D. – American Educational Research Journal, 1984
In behavior research using cognitive and affective measures, there is often incongruity between the statistical analysis employed and the intended inference. This paper argues that incorporating items as levels of a random facet via generalizability theory allows the statistical examination of the inferential question in the desired universe of…
Descriptors: Affective Measures, Analysis of Variance, Behavioral Science Research, Cognitive Measurement
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Brennan, Robert L. – Educational Measurement: Issues and Practice, 1992
The framework and procedures of generalizability theory are introduced and illustrated in this instructional module that uses a hypothetical scenario involving writing proficiency. Generalizability analyses are useful for understanding the relative importance of various sources of error and for designing efficient measurement procedures. (SLD)
Descriptors: Analysis of Variance, Data Interpretation, Equations (Mathematics), Error of Measurement
Edwards, Lynne K.; Bland, Patricia C. – 1992
Selected examples using the statistical packages Statistical Package for the Social Sciences (SPSS), the Statistical Analysis System (SAS), and BMDP are presented to facilitate their use and encourage appropriate uses in: (1) a hierarchical design; (2) a confounded factorial design; and (3) variance component estimation procedures. To illustrate…
Descriptors: Analysis of Variance, Computer Software, Computer Software Evaluation, Computer Software Selection
Sandler, Andrew B. – 1987
Statistical significance is misused in educational and psychological research when it is applied as a method to establish the reliability of research results. Other techniques have been developed which can be correctly utilized to establish the generalizability of findings. Methods that do provide such estimates are known as invariance or…
Descriptors: Analysis of Covariance, Analysis of Variance, Correlation, Discriminant Analysis
Kim, Yang Boon; Lee, Jong Sung – 1990
The empirical validity of generalizability theory was investigated by applying two three-facet designs to data obtained in 1988 from administration of the Scientific Thinking and Research Skill Test (STRST). The decision validity of the STRST was also examined. Subjects were 125 fifth-grade and 125 sixth-grade students who were administered the…
Descriptors: Analysis of Variance, Decision Making, Elementary School Students, Generalizability Theory