PROPHET StatGuide: McNemar's Q test
McNemar's Q test is used to test
the null hypothesis that the
population
median of the paired differences is 0 for a dichotomous
outcome variable, with counted data arranged in a "contingency" table
format.
The full version of StatGuide for McNemar's Q test will be available in a
future release. In the meantime, to properly analyze and interpret
results of McNemar's Q test, you should be familiar with the
following terms and concepts:
If you are not familiar with these terms and concepts, you are advised to
consult with a statistician. Failure to understand and properly apply
McNemar's Q test may result in drawing erroneous conclusions from your data.
Additionally, you may want to consult the following references:
- Conover, W. J. 1980. Practical Nonparametric Statistics. 2nd ed.
New York: John Wiley & Sons.
- Daniel, Wayne W. 1978. Applied Nonparametric Statistics.
Boston: Houghton Mifflin.
- Hollander, M. and Wolfe, D. A. 1973. Nonparametric Statistical Methods.
New York: John Wiley & Sons.
- Lehmann, E. L. 1975. Nonparametrics: Statistical Methods Based on
Ranks. San Francisco: Holden-Day.
- Rosner, Bernard. 1995. Fundamentals of Biostatistics.
4th ed. Belmont, California: Duxbury Press.
- Sokal, Robert R. and Rohlf, F. James. 1995. Biometry. 3rd. ed.
New York: W. H. Freeman and Co.
- Zar, Jerrold H. 1996. Biostatistical Analysis. 3rd ed. Upper Saddle River, NJ:
Prentice-Hall.
Do a keyword search of PROPHET
StatGuide.
Back to StatGuide testing equality of means/location page.
Back to StatGuide nonparametric tests page.
Back to StatGuide home page.
Last modified: March 14, 1997
©1996 BBN Corporation All
rights reserved.
Examine the glossary.