Data-dependent analyses in psychological research

Psychological Reports

Volumn 91, Issue 3 PART 2, 2002, Pages 1225-1234

  Mielke Jr , Paul W ^a   Berry, Kenneth J ^a  

^a Department of Environmental and Radiological Health Sciences   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CHILD; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; HUMAN; INFORMATION PROCESSING; METHODOLOGY; PSYCHOLOGY; PSYCHOMETRY; RANDOMIZED CONTROLLED TRIAL; REGRESSION ANALYSIS; REPRODUCIBILITY; STATISTICS;

CHILD; DATA COLLECTION; HUMANS; LEAST-SQUARES ANALYSIS; PSYCHOLOGY, EXPERIMENTAL; PSYCHOMETRICS; RANDOMIZED CONTROLLED TRIALS; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; RESEARCH DESIGN;

EID: 0036985419     PISSN: 00332941     EISSN: 1558691X     Source Type: Journal    
DOI: 10.2466/pr0.2002.91.3f.1225     Document Type: Article

References (18)

1. ANDERSON, M. J., & ROBINSON, J. (2001) Permutation tests for linear models. Australian & New Zealand Journal of Statistics, 43, 75-88.
2. I linear approximation. Society for Industrial and Applied Mathematics Journal of Numerical Analysis, 10, 839-848.
3. I norm. Communications of the Association for Computing Machinery, 17, 319-320.
4. BERRY, K. J., & MIELKE, P. W., JR. (1983) Moment approximations as an alternative to the F test in analysis of variance. British Journal of Mathematical and Statistical Psychology, 36, 202-206.
5. BERRY, K. J., & MIELKE, P. W., JR. (1998) Least sum of absolute deviations regression: distance, leverage, and influence. Perceptual and Motor Skills, 86, 1063-1070.
6. BERRY, K. J., MIELKE, P. W., JR., & MIELKE, H. W. (2002) The Fisher-Pitman permutation test: an attractive alternative to the F test. Psychological Reports, 90, 495-502.
7. BOIK, R. J. (1987) The Fisher-Pitman permutation test: a non-robust alternative to the normal theory F test when variances are heterogeneous. British Journal of Mathematical and Statistical Psychology, 40, 26-42.
8. CADE, B. S., & RICHARDS, J. D. (1996) Permutation tests for least absolute deviation regression. Biometrics, 52, 886-902.
9. FREEDMAN, D., & LANE, D. (1983) A nonstochastic interpretation of reported significance levels. Journal of Business & Economic Statistics, 1, 292-298.
10. 0: p = 0. Psychological Methods, 1, 184-198.
11. KENNEDY, P. E. (1995) Randomization tests in econometrics. Journal of Business & Economic Statistics, 13, 85-94.
12. LUDBROOK, J., & DUDLEY, H. (1998) Why permutation tests are superior to t and F tests in biomedical research. The American Statistician, 52, 127-132.
13. MANLY, B. J. F. (1991) Randomization and Monte Carlo methods in biology. London: Chapman & Hall.
14. MICCERI, T. (1989) The unicorn, the normal curve, and other improbable creatures. Psychological Bulletin, 105, 156-166.
15. MIELKE, P. W., JR., & BERRY, K. J. (1997) Permutation covariate analyses of residuals based on Euclidean distance. Psychological Reports, 81, 795-802.
16. MIELKE, P. W., JR., & BERRY, K. J. (2001) Permutation methods: a distance function approach. New York: Springer-Verlag.
17. MIELKE, P. W., JR., & BERRY, K. J. (2002) Multivariate multiple regression analyses: a permutation method for linear models. Psychological Reports, 91, 3-9. [Erratum. Psychological Reports, 91, 2.]
18. PIERS, E. V. (1984) Piers-Harris Children's Self-concept Scale: Revised manual. Los Angeles, CA: Western Psychological Services.