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Lai, Mark H. C.; Kwok, Oi-man – Journal of Experimental Education, 2015
Educational researchers commonly use the rule of thumb of "design effect smaller than 2" as the justification of not accounting for the multilevel or clustered structure in their data. The rule, however, has not yet been systematically studied in previous research. In the present study, we generated data from three different models…
Descriptors: Educational Research, Research Design, Cluster Grouping, Statistical Data

Hall, Charles E. – Journal of Experimental Education, 1973
It is the intention of this paper to review the purpose, underlying assumptions, and calculation procedures and to arrive at a means of handling analysis of covariance when the classical assumptions are not met. (Author)
Descriptors: Analysis of Covariance, Data Collection, Educational Research, Mathematics

McNeil, Keith – Journal of Experimental Education, 1974
Multiple linear regression has been shown to be applicable for analysis of variance hypotheses, for scaling purposes, and for analysis of single organism data. The present paper shows the application to chi square. (Author)
Descriptors: Educational Research, Multiple Regression Analysis, Probability, Statistical Data

Veitch, William R.; Roscoe, John T. – Journal of Experimental Education, 1974
A Monte Carlo technique was employed in order to compare the relative power and robustness of the Bartlett, Cochran, Hartley, and Levene tests for homogeniety of variance. (Editor)
Descriptors: Research Methodology, Statistical Analysis, Statistical Data, Test Reliability

Hoffman, Richard J. – Journal of Experimental Education, 1974
A paradigm for experimental studies of conversation training is developed. This paradigm offers a way of interpreting conservation training studies as well as suggesting several fertile areas for future studies. (Editor)
Descriptors: Educational Research, Generalization, Learning Processes, Research Design

Leung, Shing On; Sachs, John – Journal of Experimental Education, 2005
Quite often in data reduction, it is more meaningful and economical to select a subset of variables instead of reducing the dimensionality of the variable space with principal components analysis. The authors present a neglected method for variable selection called the BI-method (R. P. Bhargava & T. Ishizuka, 1981). It is a direct, simple method…
Descriptors: Statistical Analysis, Statistical Data, Selection, Psychological Studies

Marsh, Herbert W.; Ball, Samuel – Journal of Experimental Education, 1989
Agreement between two independent reviews of each of 278 manuscripts was compared on an overall recommendation and on specific rating items. Agreement between reviewers on separate dimensions, the unweighted sum of the dimensions, and various weighted sums was no better than that for the overall recommendation itself. (SLD)
Descriptors: Evaluation Methods, Factor Analysis, Interrater Reliability, Manuscripts