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Drummond, Gordon B.; Vowler, Sarah L. – Advances in Physiology Education, 2013
This final article in the authors' series draws together some of the ideas they have addressed, and suggests important "ingredients" that make a paper palatable to the reviewer and the reader. These ingredients include: (1) Describe the methods; (2) Plan the analysis; (3) Design the study; (4) Use the correct experimental unit; and (5)…
Descriptors: Experiments, Physiology, Science Education, Science Instruction
Shadish, William; Hedges, Larry; Pustejovsky, James; Rindskopf, David – Society for Research on Educational Effectiveness, 2012
Over the last 10 years, numerous authors have proposed effect size estimators for single-case designs. None, however, has been shown to be equivalent to the usual between-groups standardized mean difference statistic, sometimes called d. The present paper remedies that omission. Most effect size estimators for single-case designs use the…
Descriptors: Effect Size, Experiments, Sample Size, Comparative Analysis
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Murray, Arthur; Hart, Ian – Physics Education, 2012
The "radioactive dice" experiment is a commonly used classroom analogue to model the decay of radioactive nuclei. However, the value of the half-life obtained from this experiment differs significantly from that calculated for real nuclei decaying exponentially with the same decay constant. This article attempts to explain the discrepancy and…
Descriptors: Science Experiments, Intervals, Experiments, Prediction
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Liu, Xiaofeng Steven – Journal of Educational and Behavioral Statistics, 2010
This article provides a way to determine adequate sample size for the confidence interval of covariate-adjusted mean difference in randomized experiments. The standard error of adjusted mean difference depends on covariate variance and balance, which are two unknown quantities at the stage of planning sample size. If covariate observations are…
Descriptors: Sample Size, Computation, Statistical Analysis, Error of Measurement
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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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Canaes, Larissa S.; Brancalion, Marcel L.; Rossi, Adriana V.; Rath, Susanne – Journal of Chemical Education, 2008
A classroom exercise for undergraduate and beginning graduate students that takes about one class period is proposed and discussed. It is an easy, interesting exercise that demonstrates important aspects of sampling techniques (sample amount, particle size, and the representativeness of the sample in relation to the bulk material). The exercise…
Descriptors: College Students, Statistical Data, Sampling, Evaluation
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Hedges, Larry V.; Hedberg, E. C. – Educational Evaluation and Policy Analysis, 2007
Experiments that assign intact groups to treatment conditions are increasingly common in social research. In educational research, the groups assigned are often schools. The design of group-randomized experiments requires knowledge of the intraclass correlation structure to compute statistical power and sample sizes required to achieve adequate…
Descriptors: Educational Research, Academic Achievement, Correlation, Experiments