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PHYS THER
Vol. 66, No. 2, February 1986, pp. 264-268
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Nonparametric Testing Using the Chi-Square Distribution

Philip L Witt and Peter McGrain, PhD

Mr. Witt and Dr. McGrain are Assistant Professors, Div of Physical Therapy, Medical School Wing E 222H, Univ of North Carolina at Chapel Hill, Chapel Hill, NC 27514

This excerpt was created in the absence of an abstract.

As physical therapists, we evaluate and treat people with a wide variety of problems and a wide variety of people with similar problems. Numerous tests and treatment procedures have been devised; unfortunately, insufficient effort has gone into examining the results of our work. Do we know which hip replacement treatment protocol achieves the best results? Is there a difference in functional recovery of men versus women with similar spinal cord injuries? Do high-risk infants have a greater incidence of developmental problems than healthy infants? Numerous ways exist to study and analyze these questions. This paper will deal with one relatively simple method of analyzing the data generated from studies designed to answer these kinds of questions. We will describe a non-parametric statistical analysis using the chi-square ({chi}2) distribution.


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Related Article

Chi-Square Limitations and Alternatives
Richard Bohannon
Physical Therapy 1986 66: 1002. [Abstract] [PDF]





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Copyright © 1986 by the American Physical Therapy Association.