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Ryan, Wendy L.; St. Iago-McRae, Ezry – Bioscene: Journal of College Biology Teaching, 2016
Experimentation is the foundation of science and an important process for students to understand and experience. However, it can be difficult to teach some aspects of experimentation within the time and resource constraints of an academic semester. Interactive models can be a useful tool in bridging this gap. This freely accessible simulation…
Descriptors: Research Design, Simulation, Animals, Animal Behavior
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Hedges, Larry V. – Journal of Educational and Behavioral Statistics, 2009
A common mistake in analysis of cluster randomized experiments is to ignore the effect of clustering and analyze the data as if each treatment group were a simple random sample. This typically leads to an overstatement of the precision of results and anticonservative conclusions about precision and statistical significance of treatment effects.…
Descriptors: Data Analysis, Statistical Significance, Statistics, Experiments
Hulleman, Chris S.; Cordray, David S. – Society for Research on Educational Effectiveness, 2010
This paper outlines a method of determining the achieved relative strength (ARS) of an intervention by calculating the extent to which core intervention components are present in both the treatment and control condition. Using data from several examples the authors demonstrate how to calculate ARS indices, and subsequently how to incorporate them…
Descriptors: Intervention, Reading Instruction, Sample Size, Data Collection