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Frederick, Brigitte N. – 1999
Most researchers using analysis of variance (ANOVA) use a fixed-effects model. However, a random- or mixed-effects model may be a more appropriate fit for many research designs. One benefit of the random- and mixed-effects models is that they yield more generalizable results. This paper focuses on the similarities and differences between the…
Descriptors: Analysis of Variance, Mathematical Models, Research Design
Peer reviewed Peer reviewed
Cardinet, Jean; And Others – Journal of Educational Measurement, 1981
Since fixed and random facets may exist in objects of study as well as in conditions of observation, various modifications of the generalizability theory estimation formulas are required for different types of measurement designs. Various design modifications are proposed to improve reliability by reducing error variance. (Author/BW)
Descriptors: Analysis of Variance, Reliability, Research Design, Statistical Analysis
Peer reviewed Peer reviewed
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
Fitz-Gibbon, Carol Taylor; Morris, Lynn Lyons – 1987
The "CSE Program Evaluation Kit" is a series of nine books intended to assist people conducting program evaluations. This volume, the third in the kit, discusses the logic underlying the use of quantitative research designs, including the pretest-posttest design, and supplies step-by-step procedures for setting up and interpreting the…
Descriptors: Analysis of Variance, Evaluation Methods, Evaluation Problems, Experiments
Peer reviewed Peer reviewed
Smith, Rachel A.; Levine, Timothy R.; Lachlan, Kenneth A.; Fediuk, Thomas A. – Human Communication Research, 2002
Notes that the availability of statistical software packages has led to a sharp increase in use of complex research designs and complex statistical analyses in communication research. Reports a series of Monte Carlo simulations which demonstrate that this complexity may come at a heavier cost than many communication researchers realize. Warns…
Descriptors: Analysis of Variance, Communication Research, Computer Software, Higher Education
Peer reviewed Peer reviewed
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
Peer reviewed Peer reviewed
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
Fitz-Gibbon, Carol Taylor; Morris, Lynn Lyons – 1978
The evaluation design, which prescribes when and from whom to gather data, is described as significant because it can lend credibility to evaluation results. The objectives of this booklet are to aid the evaluator in: choosing a design; putting it into operation; and analyzing and reporting the data. Examples include both formative and summative…
Descriptors: Analysis of Variance, Control Groups, Educational Research, Evaluation Methods