Randomization tests and the unequal-N/unequal-variance problem

Behavior Research Methods

Volumn 41, Issue 3, 2009, Pages 664-667

  Mewhort, D J K ^a   Kelly, Matthew ^a   Johns, Brendan T ^b  

^a QUEEN S UNIVERSITY   (Canada)

^b INDIANA UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; BEHAVIORAL RESEARCH; METHODOLOGY; MONTE CARLO METHOD; RANDOMIZATION; STATISTICS;

ALGORITHMS; BEHAVIORAL RESEARCH; MONTE CARLO METHOD; RANDOM ALLOCATION; STATISTICS AS TOPIC;

EID: 68949174044     PISSN: 1554351X     EISSN: None     Source Type: Journal    
DOI: 10.3758/BRM.41.3.664     Document Type: Article

References (8)

1. Box, G. E. P., & Andersen, S. L. (1955). Permutation theory in the derivation of robust criteria and the study of departures from assumption. Journal of the Royal Statistical Society B, 17, 1-34.
2. Edgington, E. S. (1995). Randomization tests (3rd ed.). New York: Dekker.
3. Gill, P. M. W. (2007). Efficient calculation of p-values in linear-statistic permutation significance tests. Journal of Statistical Computation & Simulation, 77, 55-61.
4. Hayes, A. F. (2000). Randomization tests and the equality of variance assumption when comparing group means. Animal Behaviour, 59, 653-656. doi:10.1006/anbe.1999.1366
5. Ludbrook, J., & Dudley, H. (1998). Why permutation tests are su-perior to t and F tests in biomedical research. American Statistician, 52, 127-132.
6. Manly, B. F. J. (1997). Randomization, bootstrap, and Monte Carlo methods in biology (2nd ed.). London: Chapman & Hall.
7. Mewhort, D. J. K. (2005). A comparison of the randomization test with the F test when error is skewed. Behavior Research Methods, 37, 425-435.
8. Pagano, M., & Tritchler, D. (1983). On obtaining permutation distributions in polynomial time. Journal of the American Statistical Association, 78, 435-440.