H J Keselman

Summary

Affiliation: University of Manitoba
Country: Canada

Publications

  1. doi A generally robust approach for testing hypotheses and setting confidence intervals for effect sizes
    H J Keselman
    Department of Psychology, University of Manitoba, 190 Dysart Road, Winnipeg, Manitoba, Canada
    Psychol Methods 13:110-29. 2008
  2. doi Many tests of significance: new methods for controlling type I errors
    H J Keselman
    Department of Psychology, University of Manitoba, Winnipeg, Manitoba, Canada
    Psychol Methods 16:420-31. 2011
  3. ncbi Adaptive robust estimation and testing
    H J Keselman
    Department of Psychology, University of Manitoba, Winnipeg, Manitoba, Canada R3T 2N2
    Br J Math Stat Psychol 60:267-93. 2007
  4. doi A comparative study of robust tests for spread: asymmetric trimming strategies
    H J Keselman
    University of Manitoba, Winnipeg, Manitoba, Canada
    Br J Math Stat Psychol 61:235-53. 2008
  5. ncbi Pairwise multiple comparison test procedures: an update for clinical child and adolescent psychologists
    H J Keselman
    Department of Psychology, University of Manitoba, Winnipeg, Manitoba, Canada R3T 2N2
    J Clin Child Adolesc Psychol 33:623-45. 2004
  6. ncbi A generally robust approach to hypothesis testing in independent and correlated groups designs
    H J Keselman
    Department of Psychology, University of Manitoba, Winnipeg, Manitoba, Canada
    Psychophysiology 40:586-96. 2003
  7. ncbi Testing treatment effects in repeated measures designs: trimmed means and bootstrapping
    H J Keselman
    Department of Psychology, University of Manitoba, Winnipeg, Canada
    Br J Math Stat Psychol 53:175-91. 2000
  8. ncbi Robust tests for the multivariate Behrens-Fisher problem
    Lisa M Lix
    Department of Community Health Sciences, Faculty of Medicine, University of Manitoba, 408 727 McDermot Avenue, Winnipeg, Man, R3E 3P5, Canada
    Comput Methods Programs Biomed 77:129-39. 2005
  9. ncbi Pairwise multiple comparisons: a model comparison approach versus stepwise procedures
    Robert A Cribbie
    Department of Psychology, York University, Toronto, Canada
    Br J Math Stat Psychol 56:167-82. 2003
  10. doi Effect of non-normality on test statistics for one-way independent groups designs
    Robert A Cribbie
    Department of Psychology, York University, Toronto, Canada
    Br J Math Stat Psychol 65:56-73. 2012

Collaborators

Detail Information

Publications19

  1. doi A generally robust approach for testing hypotheses and setting confidence intervals for effect sizes
    H J Keselman
    Department of Psychology, University of Manitoba, 190 Dysart Road, Winnipeg, Manitoba, Canada
    Psychol Methods 13:110-29. 2008
    ..In an online supplement, the authors use several examples to illustrate the application of an SAS program to implement these statistical methods...
  2. doi Many tests of significance: new methods for controlling type I errors
    H J Keselman
    Department of Psychology, University of Manitoba, Winnipeg, Manitoba, Canada
    Psychol Methods 16:420-31. 2011
    ..05. We demonstrate with two published data sets how more hypotheses can be rejected with k-FWER methods compared to FWER control...
  3. ncbi Adaptive robust estimation and testing
    H J Keselman
    Department of Psychology, University of Manitoba, Winnipeg, Manitoba, Canada R3T 2N2
    Br J Math Stat Psychol 60:267-93. 2007
    ..With regard to the power to detect non-null treatment effects, we found that the choice among the methods depended on the degree of non-normality and variance heterogeneity. Recommendations are offered...
  4. doi A comparative study of robust tests for spread: asymmetric trimming strategies
    H J Keselman
    University of Manitoba, Winnipeg, Manitoba, Canada
    Br J Math Stat Psychol 61:235-53. 2008
    ....
  5. ncbi Pairwise multiple comparison test procedures: an update for clinical child and adolescent psychologists
    H J Keselman
    Department of Psychology, University of Manitoba, Winnipeg, Manitoba, Canada R3T 2N2
    J Clin Child Adolesc Psychol 33:623-45. 2004
    ..The newer methods are intended to provide additional sensitivity to detect treatment group differences and provide tests that are robust to the effects of variance heterogeneity, nonnormality, or both...
  6. ncbi A generally robust approach to hypothesis testing in independent and correlated groups designs
    H J Keselman
    Department of Psychology, University of Manitoba, Winnipeg, Manitoba, Canada
    Psychophysiology 40:586-96. 2003
    ..We also illustrate, with examples from the psychophysiological literature, the use of a new computer program to obtain numerical results for these solutions...
  7. ncbi Testing treatment effects in repeated measures designs: trimmed means and bootstrapping
    H J Keselman
    Department of Psychology, University of Manitoba, Winnipeg, Canada
    Br J Math Stat Psychol 53:175-91. 2000
    ..Neither approach particularly benefited from adopting bootstrapped critical values. Recommendations are provided to researchers regarding when each approach is best...
  8. ncbi Robust tests for the multivariate Behrens-Fisher problem
    Lisa M Lix
    Department of Community Health Sciences, Faculty of Medicine, University of Manitoba, 408 727 McDermot Avenue, Winnipeg, Man, R3E 3P5, Canada
    Comput Methods Programs Biomed 77:129-39. 2005
    ..Recommendations are provided on the specific data-analytic conditions under which these tests should be adopted...
  9. ncbi Pairwise multiple comparisons: a model comparison approach versus stepwise procedures
    Robert A Cribbie
    Department of Psychology, York University, Toronto, Canada
    Br J Math Stat Psychol 56:167-82. 2003
    ..The protected version of the model selection approach selected the true model a significantly greater proportion of times than the stepwise procedures and, in most cases, was not affected by variance heterogeneity and non-normality...
  10. doi Effect of non-normality on test statistics for one-way independent groups designs
    Robert A Cribbie
    Department of Psychology, York University, Toronto, Canada
    Br J Math Stat Psychol 65:56-73. 2012
    ..The results indicated that the tests based on trimmed means offer the best Type I error control and power when variances are unequal and at least some of the distribution shapes are non-normal...
  11. ncbi The new and improved two-sample T test
    H J Keselman
    University of Manitoba, Winnipeg, Manitoba, Canada
    Psychol Sci 15:47-51. 2004
    ..We find that a transformation for skewness combined with a bootstrap method improves Type I error control and probability coverage even if sample sizes are small...
  12. ncbi The analysis of repeated measures designs: a review
    H J Keselman
    Department of Psychology, University of Manitoba, 190 Dysart Road, Winnipeg, Manitoba, Canada R3T 2N2
    Br J Math Stat Psychol 54:1-20. 2001
    ..Additional topics discussed include analyses for missing data and tests of linear contrasts...
  13. ncbi An examination of the robustness of the empirical Bayes and other approaches for testing main and interaction effects in repeated measures designs
    H J Keselman
    Department of Psychology, University of Manitoba, Winnipeg, Canada
    Br J Math Stat Psychol 53:51-67. 2000
    ..On the other hand, the Huynh and Keselman et al. procedures were generally robust to these same pairings of covariance matrices and group sizes...
  14. ncbi Controlling the rate of Type I error over a large set of statistical tests
    H J Keselman
    Department of Psychology, University of Manitoba, Winnipeg, Canada
    Br J Math Stat Psychol 55:27-39. 2002
    ..05 value. Accordingly, we recommend the Benjamini and Hochberg (1995, 2000) methods of Type I error control when the number of tests in the family is large...
  15. ncbi An alternative to Cohen's standardized mean difference effect size: a robust parameter and confidence interval in the two independent groups case
    James Algina
    Department of Educational Psychology, University of Florida, Gainesville, FL 32611 7047, USA
    Psychol Methods 10:317-28. 2005
    ..Over the range of distributions and effect sizes investigated in the study, coverage probability was better for the percentile bootstrap confidence interval...
  16. ncbi Repeated measures one-way ANOVA based on a modified one-step M-estimator
    Rand R Wilcox
    Department of Psychology, University of Southern California, Los Angeles, CA 90089, USA
    Br J Math Stat Psychol 56:15-25. 2003
    ..Methods based on a simple modification of a one-step M-estimator that address the problems with trimmed means are examined. Several omnibus tests are compared, one of which performed well in simulations, even with a sample size of 11...
  17. ncbi Multivariate tests of means in independent groups designs. Effects of covariance heterogeneity and nonnormality
    Lisa M Lix
    University of Manitoba
    Eval Health Prof 27:45-69. 2004
    ..A numeric example illustrates the statistical concepts that are presented and a computer program to implement these robust solutions is introduced...
  18. ncbi Comparing measures of the 'typical' score across treatment groups
    Abdul R Othman
    Universiti Sains Malaysia, Malaysia
    Br J Math Stat Psychol 57:215-34. 2004
    ....
  19. ncbi Modern robust data analysis methods: measures of central tendency
    Rand R Wilcox
    Department of Psychology, University of Southern California, Los Angeles 90089 1061, USA
    Psychol Methods 8:254-74. 2003
    ..Some suggestions are made about how to proceed when using modern methods...