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Humphreys, Lloyd G. – Journal of Educational Psychology, 1980
Many researchers, including Buriel (EJ 187 987), incorrectly compared the results in each study with null hypotheses of zero differences between means or zero population correlations. Instead, a test of difference between the mean differences in the two samples or the direct comparison of the two sample correlations is required. (Author/CP)
Descriptors: Comparative Analysis, Correlation, Hypothesis Testing, Mathematical Formulas
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Lewis, Charles – Journal of Educational and Behavioral Statistics, 2006
In the context of reviewing an article for this journal (van der Linden & Sotaridona, this issue, pp. 283-304) the topic of unconditional and conditional hypothesis testing came under consideration. While this is hardly a new issue (consider, for example, arguments regarding the chi square vs. Fisher exact test of independence for a 2 x 2…
Descriptors: Hypothesis Testing, Educational Testing, Item Response Theory, Research Problems
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Bonett, Douglas G. – Educational and Psychological Measurement, 1982
Post-hoc blocking and analysis of covariance (ANCOVA) both employ a concomitant variable to increase statistical power relative to the completely randomized design. It is argued that the advantages attributed to the block design are not always valid and that there are circumstances when the ANCOVA would be preferred to post-hoc blocking.…
Descriptors: Analysis of Covariance, Comparative Analysis, Hypothesis Testing, Power (Statistics)
Blumstein, Alfred; Cohen, Jacqueline – Evaluation Quarterly, 1979
Evaluations involving nonrandom assignment to treatment or control groups are vulnerable to an accidental or intentional confounding of a selection effect with the treatment effect. Two techniques, discriminant analysis and base expectancy analysis, permit separate estimation of the selection and treatment effects in the final results. (Author/CTM)
Descriptors: Comparative Analysis, Discriminant Analysis, Hypothesis Testing, Research Design