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Pairwise Multiple Comparison Procedures with Unequal N’s and/or Variances: A Monte Carlo Study
Abstract
Three different methods for testing all pairs of yȳ k, - yȳ k’ were contrasted under varying sample size (n) and variance conditions. With unequal n’s of six and up, only the Behrens-Fisher statistic provided satisfactory control of both the familywise rate of Type I errors and Type I error rate on each contrast. Satisfactory control with unequal n’s of three and up is dubious even with this statistic.
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Citations
Cited by
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Pairwise Multiple Comparisons in the Unequal Variance Case
Dunnett, C. W. (1980) · Journal of the American Statistical Association · doi:10.1080/01621459.1980.10477552 · Cited by 485
A quantitative synthesis of the importance of variables used in MaxEnt species distribution models
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Circadian regulation of cortisol after hippocampal damage in humans
Buchanan, T. W., Kern, S., Allen, J. S., Tranel, D., & Kirschbaum, C. (2004) · Biological Psychiatry · doi:10.1016/j.biopsych.2004.08.014 · Cited by 206
Metadata
- Authors
- Games, P. A., & Howell, J. F.
- Venue
- Journal of Educational Statistics
- Published
- 1976-06
- Volume
- 1
- Issue
- 2
- Pages
- 113-125
- ISSN
- 0362-9791 (ISSN-L)
- OpenAlex
- W2122902902
- Cited by
- 924
- References
- 0
- FWCI
- 6.38
- Type
- journal article
- Language
- en
- Open access
- closed
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- Games, P. A., & Howell, J. F. (1976). Pairwise Multiple Comparison Procedures with Unequal N’s and/or Variances: A Monte Carlo Study. Journal of Educational Statistics. https://doi.org/10.3102/10769986001002113
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