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Buchanan, Taylor L.; Lohse, Keith R. – Measurement in Physical Education and Exercise Science, 2016
We surveyed researchers in the health and exercise sciences to explore different areas and magnitudes of bias in researchers' decision making. Participants were presented with scenarios (testing a central hypothesis with p = 0.06 or p = 0.04) in a random order and surveyed about what they would do in each scenario. Participants showed significant…
Descriptors: Researchers, Attitudes, Statistical Significance, Bias
Hudson, Peter; Matthews, Kelly – Journal of Science and Mathematics Education in Southeast Asia, 2012
Women are underrepresented in science, technology, engineering and mathematics (STEM) areas in university settings; however this may be the result of attitude rather than aptitude. There is widespread agreement that quantitative problem-solving is essential for graduate competence and preparedness in science and other STEM subjects. The research…
Descriptors: Females, Student Attitudes, Statistical Significance, Males
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Parkhurst, David F. – Bioscience, 2001
Investigates significance tests as a tool for helping to identify real effects in the face of random variation. Speculates that equivalence tests improve the logic of significance testing when demonstrating similarity is important. Reverse tests can help show that failure to reject a null hypothesis does not support that hypothesis. (Contains 30…
Descriptors: Analysis of Variance, Biology, Higher Education, Research Methodology
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Levine, Timothy R.; Banas, John – Communication Monographs, 2002
Documents the recent use of one-tailed F-tests in communication journals, and examines the arguments both for and against their use. Examines the use of these tests within the broader unresolved controversy surrounding the use of one-tailed tests. Recommends that future researchers should most often avoid one-tailed Fs, and generally exercise…
Descriptors: Communication (Thought Transfer), Communication Research, Futures (of Society), Higher Education