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Drummond, Gordon B.; Tom, Brian D. M. – Advances in Physiology Education, 2011
In this article, the authors address the practicalities of how data should be presented, summarized, and interpreted. There are no exact rules; indeed there are valid concerns that exact rules may be inappropriate and too prescriptive. New procedures evolve, and new methods may be needed to deal with new types of data, just as people know that new…
Descriptors: Research Methodology, Data Interpretation, Sample Size, Intervals
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Whelan, Robert – Psychological Record, 2008
Most analyses of reaction time (RT) data are conducted by using the statistical techniques with which psychologists are most familiar, such as analysis of variance on the sample mean. Unfortunately, these methods are usually inappropriate for RT data, because they have little power to detect genuine differences in RT between conditions. In…
Descriptors: Reaction Time, Psychologists, Statistical Analysis, Data
Schochet, Peter Z. – Mathematica Policy Research, Inc., 2008
Studies that examine the impacts of education interventions on key student, teacher, and school outcomes typically collect data on large samples and on many outcomes. In analyzing these data, researchers typically conduct multiple hypothesis tests to address key impact evaluation questions. Tests are conducted to assess intervention effects for…
Descriptors: Hypothesis Testing, Guidelines, Outcomes of Education, Evaluation Methods
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Daller, Helmut – Language, Culture and Curriculum, 1995
Studies the language proficiency of the Turkish returnees from Germany who were either born in Germany or emigrated there with their parents at a young age. Results indicate that returnees have a deficit in cognitive academic language proficiency compared to control groups and that a correlation exists between language proficiency in Turkish,…
Descriptors: Cognitive Development, Control Groups, Correlation, English