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| Effect Size | 3 |
| Statistical Significance | 3 |
| Scholarly Journals | 2 |
| Bias | 1 |
| Correlation | 1 |
| Hypothesis Testing | 1 |
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| Psychological Testing | 1 |
| Psychology | 1 |
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| Research Reports | 1 |
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Peer reviewedSnijders, Tom A. B. – Journal of Educational and Behavioral Statistics, 1996
Two commentaries describe some shortcomings of a recent discussion of the significance testing of R-squared by C. J. Huberty and upward bias in the statistic. Both propose some modifications. A response by Huberty acknowledges the importance of the exchange of ideas in the field of data analysis. (SLD)
Descriptors: Bias, Correlation, Effect Size, Regression (Statistics)
Peer reviewedStewart, David W. – Educational and Psychological Measurement, 2000
Suggests that replication research and meta-analysis are not substitutes for statistical significance testing, but rather, like measures of effect size, they are complements to statistical significance testing. Significance testing does provide a means for determining what might be usefully replicated. (SLD)
Descriptors: Effect Size, Meta Analysis, Psychological Testing, Scholarly Journals
Peer reviewedThompson, Bruce – Educational and Psychological Measurement, 2001
Introduces the three subsequent articles from this special section, which extend the discussion of future prospects for progress in the reporting and interpreting of effect sizes by researchers. The authors of these pieces represent diverse views. (SLD)
Descriptors: Effect Size, Hypothesis Testing, Psychology, Research Reports
