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Related Experiment Videos

Three programs for computing Dunn-Sidák critical values.

R E Kirk1, F Natanegara

  • 1Department of Psychology and Neuroscience, Baylor University, Waco, TX 76798-7334, USA.

Psychological Reports
|October 13, 2001
PubMed
Summary
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The Dunn-Sidák procedure requires specific critical values not found in standard t-tables. This study provides computational methods for accurate Dunn-Sidák critical values, essential for robust statistical comparisons.

Area of Science:

  • Statistics
  • Biostatistics

Background:

  • The Dunn-Sidák procedure is vital for multiple comparisons of population means.
  • Conventional t-tables lack the specific alpha levels required for this procedure.
  • Existing tables, like Games's, can lead to inaccurate one-tailed critical values.

Purpose of the Study:

  • To provide accurate computational methods for obtaining Dunn-Sidák critical values.
  • To address the limitations of conventional t-tables and existing critical value tables.
  • To facilitate the correct application of the Dunn-Sidák procedure in statistical analysis.

Main Methods:

  • Utilizing the t-inverse function in statistical software (Excel 98, SAS, SPSS).
  • Developing computational routines for one- and two-tailed critical values.

Related Experiment Videos

  • Calculating values based on familywise error rate, number of contrasts, and error degrees of freedom.
  • Main Results:

    • Successful implementation of computational routines for Dunn-Sidák critical values.
    • Demonstration of accurate value retrieval for various statistical parameters.
    • Correction of common errors associated with using Games's table for one-tailed tests.

    Conclusions:

    • Computational methods offer a reliable way to obtain precise Dunn-Sidák critical values.
    • These methods overcome the limitations of traditional t-tables and Games's table.
    • Accurate critical values ensure the validity of hypothesis testing and confidence intervals in multiple comparisons.