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Lortie-Forgues, Hugues; Inglis, Matthew – Educational Researcher, 2019
In this response, we first show that Simpson's proposed analysis answers a different and less interesting question than ours. We then justify the choice of prior for our Bayes factors calculations, but we also demonstrate that the substantive conclusions of our article are not substantially affected by varying this choice.
Descriptors: Randomized Controlled Trials, Bayesian Statistics, Educational Research, Program Evaluation
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Cook, Bryan G.; Therrien, William J. – Behavioral Disorders, 2017
Researchers sometimes conduct a study and find that the predicted relation between variables did not exist or that the intervention did not have a positive impact on student outcomes; these are referred to as null findings because they fail to disconfirm the null hypothesis. Rather than consider such studies as failures and disregard the null…
Descriptors: Publications, Bias, Special Education, Educational Research
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Faria, Claudia; Boaventura, Diana; Galvao, Cecilia; Chagas, Isabel – School Science Review, 2011
In this article we propose a hands-on experimental activity about predator-prey interactions that can be performed both in a research laboratory and in the classroom. The activity, which engages students in a real scientific experiment, can be explored not only to improve students' understanding about the diversity of anti-predator behaviors but…
Descriptors: Research Problems, Science Experiments, Scientific Research, Hypothesis Testing
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Boaduo, Nana Adu-Pipim – Educational Research and Reviews, 2011
Two basic data sources required for research studies have been secondary and primary. Secondary data collection helps the researcher to provide relevant background to the study and are, in most cases, available for retrieval from recorded sources. Primary data collection requires the researcher to venture into the field where the study is to take…
Descriptors: Research Problems, Writing Research, Research Methodology, Data Collection
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Fagley, N. S. – Journal of Counseling Psychology, 1985
Although the primary responsibility rests with the authors of articles reporting nonsignificant results to demonstrate the worth of the results by discussing the power of the tests, consumers should be prepared to conduct their own power analyses. This article demonstrates the use of power analysis for the interpretation of nonsignificant…
Descriptors: Hypothesis Testing, Power (Statistics), Research Design, Research Methodology
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Lewis, Scott E.; Lewis, Jennifer E. – Journal of Chemical Education, 2005
The commonly used method of reliance on failure to reject the conventional null hypothesis as a positive indication of equivalence is questioned in a study. An alternative method, based on a re-visioning of the null hypothesis, is proposed which also avoids the uncontrolled type II error present in the traditional method.
Descriptors: Educational Research, Equivalency Tests, Criticism, Research Methodology
Borg, Walter R. – 1986
Problems involved in providing practical research experience in research methods courses are discussed. The two points in the research process where time is most critical are selecting measures and data collection. This paper suggests using a data base from previous research and having students conduct simulated studies based on randomly selected…
Descriptors: Data Analysis, Higher Education, Hypothesis Testing, Research Design
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Brewer, James K.; Sindelar, Paul T. – Journal of Special Education, 1988
From a priori and post hoc data collection perspectives, this paper describes the interrelations among (1) power, alpha, effect size, and sample size for hypothesis testing; and (2) precision, confidence, and sample size for interval estimation. Implications for special education researchers working with convenient samples of fixed size are…
Descriptors: Data Collection, Disabilities, Educational Research, Effect Size
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Johnson, David E. – Teaching of Psychology, 1996
Provides an exercise for introducing research methods to undergraduates. The students view a graph revealing that left-handed people are underrepresented in older age groups. Small group discussions attempt to explain this phenomenon. A follow-up class discussion focuses on the different approaches and methods available for interpreting the data.…
Descriptors: Causal Models, Critical Thinking, Data Interpretation, Factor Analysis