Event Title
STEM Camp Matters, Right? A Parametric versus Nonparametric Analysis Comparison
Start Date
4-2-2021 8:30 AM
End Date
4-2-2021 10:00 AM
Date of Publication
February 2021
Document Type
Presentation
Abstract
The parametric tests are often used as default without regard to distribution shape. Even more rarely do reviewers ask authors to directly state how they meet assumptions of normality. Undoubtedly, the obtained p-value will be different. However, the importance of the p-value is only important in that it is either less than or greater than the a priori alpha level. How does choice of parametric or non-parametric analytic technique impact that decision when the sample violates the assumption of normality?
Keywords
STEM, Education, Analysis
Persistent Identifier
http://hdl.handle.net/10950/2823
STEM Camp Matters, Right? A Parametric versus Nonparametric Analysis Comparison
The parametric tests are often used as default without regard to distribution shape. Even more rarely do reviewers ask authors to directly state how they meet assumptions of normality. Undoubtedly, the obtained p-value will be different. However, the importance of the p-value is only important in that it is either less than or greater than the a priori alpha level. How does choice of parametric or non-parametric analytic technique impact that decision when the sample violates the assumption of normality?