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Learning and Understanding the Kruskal-Wallis One-Way Analysis-of-Variance-by-Ranks Test for Differences Among Three or More Independent Groups

Y Chan, BSc(PT), is a student in the Master of Science degree program, School of Rehabilitation Therapy, Queen's University, Kingston, Ontario, Canada K7L 3N6 (ychan@cbi.ca).
RP Walmsley, PhD, is Professor, Division of Physical Therapy, School of Rehabilitation Therapy, Queen's University.

This excerpt was created in the absence of an abstract.

When several treatment methods are available for the same problem, many clinicians are faced with the task of deciding which treatment to use. Many clinicians may have conducted informal "mini-experiments" on their own to determine which treatment is best suited for the problem. These results are usually not documented or reported in a formal manner because many clinicians feel that they are "statistically challenged." Another reason may be because clinicians do not feel they have controlled enough test conditions to warrant analysis. In this update, a statistic is described that does not involve complicated statistical assumptions, making it a simple and easy-to-use statistical method. This update examines the use of two statistics and does not deal with other issues that could affect clinical research such as issues affecting credibility. For readers who want a more in-depth examination of this topic, references have been provided.^1–5

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