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Shaver, James P. – Phi Delta Kappan, 1985
A dialog between two fictional teachers provides some basic examples of how research that uses approved methodology may provide results that are significant statistically but not significant practically. (PGD)
Descriptors: Educational Research, Research Methodology, Research Problems, Sampling
Shaver, James P. – Phi Delta Kappan, 1985
The second half of a dialogue between two fictional teachers examines the significance of statistical significance in research and considers the factors affecting the extent to which research results provide important or useful information. (PGD)
Descriptors: Educational Research, Research Methodology, Research Problems, Sampling
Peer reviewedKolm, Paul – Educational and Psychological Measurement, 1984
Intended for use on Conversational Monitor System (CMS), the Tukey FORTRAN program facilitates pairwise comparisons among means following a significant Fratio in an analysis of variance. Tukey's statistic can be obtained by entering information regarding the design and analysis of variance results. Two variations are also available. (Author/BS)
Descriptors: Analysis of Variance, Computer Software, Research Design, Statistical Analysis
Peer reviewedHurt, C. D. – Information Processing and Management, 1983
Results of study examining identification of important literature in quantum mechanics using gamma test of association on two literature sets indicates that use of citation analysis alone or historical analysis alone will not result in same set of literature being produced. List of historical sources and 19 references are appended. (EJS)
Descriptors: Citations (References), Comparative Analysis, Correlation, Predictive Validity
McLean, James E.; Ernest, James M. – 1997
The research methodology literature in recent years has included a full frontal assault on statistical significance testing. An entire edition of "Experimental Education" explored this controversy. The purpose of this paper is to promote the position that while significance testing by itself may be flawed, it has not outlived its…
Descriptors: Criteria, Decision Making, Research Methodology, Sample Size
Kennedy, Charlotte A. – 2002
The use of and emphasis on statistical significance testing has pervaded educational and behavioral research for many decades in spite of criticism by prominent researchers in this field. Much of the controversy is caused by lack of understanding or misinterpretations. This paper reviews criticisms of statistical significance testing and discusses…
Descriptors: Educational Research, Hypothesis Testing, Research Methodology, Sampling
Mittag, Kathleen C – 1999
A national survey of a stratified random sample of members of the American Educational Research Association was undertaken to explore perceptions of contemporary statistical issues, and especially of statistical significance tests. The 225 actual respondents were found to be reasonably representative of the population from which the sample was…
Descriptors: Attitudes, Beliefs, National Surveys, Researchers
Peer reviewedGorsuch, Richard L. – Educational and Psychological Measurement, 1973
Descriptors: Analysis of Covariance, Factor Analysis, Mathematical Models, Statistical Significance
Peer reviewedGames, Paul A. – American Educational Research Journal, 1971
See EJ 041 277 for original article. (DG)
Descriptors: Analysis of Variance, Hypothesis Testing, Research Methodology, Statistical Analysis
Peer reviewedElster, Richard S.; Dunnette, Marvin D. – Educational and Psychological Measurement, 1971
Descriptors: Hypothesis Testing, Measurement Techniques, Probability, Sampling
Peer reviewedGames, Paul A. – American Educational Research Journal, 1971
Twelve multiple comparison tests, both simultaneous and sequential, are described, analyzed, and evaluated. Overall recommendations are presented in a flow-diagram. (DG)
Descriptors: Analysis of Variance, Hypothesis Testing, Research Methodology, Statistical Analysis
Roberge, James J. – Educ Psychol Meas, 1970
This nonparametric analysis of variance program includes the Kruskal-Wallis, Friedman, and Cochran methods. (DG)
Descriptors: Analysis of Variance, Computer Programs, Nonparametric Statistics, Statistical Analysis
Smith, Robert A.; And Others – Educ Psychol Meas, 1970
Descriptors: Analysis of Variance, Computer Programs, Nonparametric Statistics, Statistical Analysis
Peer reviewedBerenson, Mark L. – Psychometrika, 1982
The statistical power of nine k-sample tests against ordered location alternatives under completely randomized designs are investigated. The results are intended to aid researchers in selecting appropriate statistical procedures. (Author/JKS)
Descriptors: Analysis of Variance, Data Analysis, Hypothesis Testing, Research Design
Peer reviewedHuberty, Carl J.; Holmes, Susan E. – Educational and Psychological Measurement, 1983
An alternative analysis of the two-group single response variable design is proposed. It involves the classification of experimental units to populations represented by the two groups. Three real data sets are provided to illustrate the utility of the classification analysis. A table of sample sizes required for the analysis is presented.…
Descriptors: Classification, Data Analysis, Hypothesis Testing, Research Design


