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Sawilowsky, Shlomo S. – Educational and Psychological Measurement, 2000
B. Thompson and T. Vacha-Haase have examined the statement "the reliability of the test" with emphasis on the following three words: (1) the first "the"; (2) "test"; and (3) the second "the." This discussion focuses instead on the word "reliability." (Author)
Descriptors: Generalization, Meta Analysis, Psychometrics, Reliability
Peer reviewed Peer reviewed
Mick, David Glen – Educational and Psychological Measurement, 2000
Suggest that the call for more pointed graduate education and more affirmative journal policies on replication-extension made by R. Hubbard and P. Ryan is useful, although inadequate and probably pointless. Statistical significance testing appears to be here to stay despite the charge that it is of "marginal scientific value." (SLD)
Descriptors: Graduate Study, Higher Education, Meta Analysis, Psychological Testing
Peer reviewed Peer reviewed
Stewart, 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 reviewed Peer reviewed
Kover, Arthur J. – Educational and Psychological Measurement, 2000
The Hubbard and Ryan article is a little ingenuous in its implications for action. Both meta-analyses and replication have problems of their own; each requires careful attention. Good measurement emphasizes proper sampling techniques and using whatever means possible to analyze data. (SLD)
Descriptors: Meta Analysis, Psychological Testing, Scholarly Journals, Statistical Significance
Peer reviewed Peer reviewed
Winer, Russell S. – Educational and Psychological Measurement, 2000
Agrees with R. Hubbard and P. Ryan that statistical significance testing has had a negative impact in that some users have closed their minds to alternative approaches to conducting research. In marketing, the alternatives are not completely satisfactory, however, and researchers are likely to continue to rely on statistical significance testing.…
Descriptors: Meta Analysis, Psychological Testing, Scholarly Journals, Statistical Significance