Revisiting the Assumptions for Inferential Statistical Analyses: A Conceptual Guide
- UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
- Ang Chen, Professor (Creator)
- Institution
- The University of North Carolina at Greensboro (UNCG )
- Web Site: http://library.uncg.edu/
Abstract: Trustworthiness of results from statistical analyses relies on the fulfillment of
a set of assumptions made about data. A survey of published pedagogy studies
in physical education revealed that examining the assumptions has been overlooked
in data analyses and result reporting. The purpose of this article is to
provide a conceptual understanding of the assumptions and to summarize available
methods to test and address their violations. In the article. we present
information to show that it is inappropriate to overlook the assumptions and
ignore their violation's impact on interpretation of results. We summarize current
findings from theoretical statistical research that start to challenge the
conventional be lief about the robustness of traditional inferential statistical
analyses, Remedial procedures recommended in the latest statistical theories
are presented for researchers to adopt in order to generate valid results from
statistical analyses.
Revisiting the Assumptions for Inferential Statistical Analyses: A Conceptual Guide
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Created on 2/8/2011
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Additional Information
- Publication
- Quest, 2001, 53, 418-439
- Language: English
- Date: 2001
- Keywords
- Statistics, Trustworthiness, Results, Analysis