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Showing 1 to 15 of 40 results Save | Export
Peer reviewed Peer reviewed
Bonett, Douglas G. – Educational and Psychological Measurement, 1982
A weighted harmonic means analysis is presented that incorporates all of the available data, preserves the planned proportionality of the design, and avoids the problems associated with the replacement of missing data with sample estimates. (Author/BW)
Descriptors: Analysis of Variance, Research Design, Research Problems, Statistical Analysis
Peer reviewed Peer reviewed
Shine, Lester C. – Journal of Educational and Psychological Measurement, 1974
Descriptors: Analysis of Variance, Hypothesis Testing, Research Methodology, Research Problems
Peer reviewed Peer reviewed
Pruzek, Robert M. – Review of Educational Research, 1971
Sections of this paper are: basic framework for the review; fundamentals of choosing contrasts in multivariate analysis of variance; principles and procedures for orthogonal and in nonorthogonal MANOVA; general problems and principles in the analysis of multivariate dependent variables. References. (Author/VW)
Descriptors: Analysis of Variance, Educational Research, Research Methodology, Research Problems
Peer reviewed Peer reviewed
Hale, Gordon A. – Child Development, 1977
The intent of this paper is to demonstrate that the standard age effect in analysis of variance provides an ineffective means of assessing developmental change when several age levels are involved and a roughly monotonic trend can be expected. (Author)
Descriptors: Age Differences, Analysis of Variance, Child Development, Research Methodology
Smith, Sandra E.; And Others – 1978
A correction of the standard F-ratio for unreliability of the dependent measure has recently been proposed by Winne; the rationale is analogous to that of correcting a correlation for attenuation. However, there are two problems associated with Winne's correction of which potential users should be aware. First, the corrected statistic, F*, has…
Descriptors: Analysis of Variance, Hypothesis Testing, Reliability, Research Problems
Sockloff, Alan L. – 1974
An equation was derived to determine the relationship between the pooled within-subgroup r (correlation coefficient) and the r obtained from the total group data. It was, thus, possible to assess the amount of distortion introduced by pooling heterogeneous subgroups. As a basis for deciding whether to pool two subgroups in order to calculate a…
Descriptors: Analysis of Variance, Correlation, Hypothesis Testing, Mathematical Models
Peer reviewed Peer reviewed
Williams, John D. – Multiple Linear Regression Viewpoints, 1977
The problems of two way analysis of variance designs with unequal and disproportionate cell sizes are discussed. A variety of solutions are discussed and a new solution is presented. (JKS)
Descriptors: Analysis of Variance, Hypothesis Testing, Mathematical Models, Matrices
Timm, Neil H. – 1977
Several procedures proposed in the literature for the analysis of growth curves are reviewed. Particular attention is given to the current issues in this area to guide practitioners in the selection of the most appropriate methodology. (Author)
Descriptors: Analysis of Covariance, Analysis of Variance, Hypothesis Testing, Mathematical Models
Peer reviewed Peer reviewed
Hedges, Larry V. – New Directions for Program Evaluation, 1984
The adequacy of traditional effect size measures for research synthesis is challenged. Analogues to analysis of variance and multiple regression analysis for effect sizes are presented. The importance of tests for the consistency of effect sizes in interpreting results, and problems in obtaining well-specified models for meta-analysis are…
Descriptors: Analysis of Variance, Effect Size, Mathematical Models, Meta Analysis
Peer reviewed Peer reviewed
Hopkins, Kenneth D. – American Educational Research Journal, 1982
The recommendation to use group means when there may be nonindependence among observational units is unduly restrictive. When random factors are properly identified and included in the analysis, the results are identical in balanced analysis of variance designs, irrespective of whether group means or individual observations are employed.…
Descriptors: Analysis of Variance, Data Analysis, Hypothesis Testing, Mathematical Models
Peer reviewed Peer reviewed
Strahan, Robert F. – Journal of Counseling Psychology, 1982
Calls attention to limitations and dangers in routine application of multivariate analysis of variance (MANOVA), describes some alternative procedures, and laments the necessarily pervasive character of the statistical problem. (Author)
Descriptors: Analysis of Variance, Multivariate Analysis, Position Papers, Research Methodology
Peer reviewed Peer reviewed
Good, Ron; Fletcher, Harold J. – Journal of Research in Science Teaching, 1981
The importance of reporting explained variance in ANOVA designs is discussed. Three methods that can be used to obtain estimates of explained variance in ANOVA designs are described and applied to sixteen studies that were reported in recent NARST volumes. Recommends that researchers in science education report explained variance. (Author/DS)
Descriptors: Analysis of Variance, Higher Education, Research Methodology, Research Problems
Lai, Morris K. – 1974
When analysis of variance is used, statistically significant differences may or may not be of practical significance to educators. A large part of the problem is due to the fact that a "zero difference" null hypothesis can always be rejected statistically if the sample size is large enough. If, however, a method based on the noncentral F…
Descriptors: Analysis of Variance, Data Analysis, Hypothesis Testing, Mathematical Models
Levin, Joel R. – 1972
This report presents the problem and a solution to the treatment of students by age interactions. It considers the plight of an educational researcher who wishes to demonstrate that a particular treatment effect changes from age to age. In analysis of variance language, he is seeking a treatment by age interaction. The report presents a rationale…
Descriptors: Age, Age Differences, Analysis of Variance, Educational Research
Peer reviewed Peer reviewed
Maxwell, Scott E.; Howard, George S. – Educational and Psychological Measurement, 1981
This paper delineates conditions under which the use of change scores will not produce misleading results, and may perhaps be preferable to other methods of analysis. The validity of change scores in randomized pretest-posttest designs is discussed along with situations where analysis of change scores should be used. (Author/GK)
Descriptors: Analysis of Covariance, Analysis of Variance, Mathematical Models, Pretests Posttests
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