Abstract

Simulation studies were used to explore the relationship between Type I error rates (statistical conclusion validity) and multiple testing in data sets exhibiting varying degrees of independence. Implications for reporting and interpreting educational data are discussed, and methods of determining or reducing Type I error incidence are presented. (IAH)

Citation

Ottenbacher, K.J. (1989). Multiple Testing of Dependent Data in Educational Research: A Quantitative Analysis. Journal of Research and Development in Education, 23(1), 43-46. Retrieved August 14, 2024 from https://www.learntechlib.org/p/142670/.

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Keywords

• Computer Simulation
• Educational Research
• Monte Carlo Methods
• Research Problems
• Statistical Significance
• Statistical Studies