Three Programs for Computing Dunn-Sidák Critical Values
Bibliographic Data
| ID | 13675224 |
|---|---|
| Authors | Roger E Kirk (Baylor University, corresponding author), Fanni Natanegara (Baylor University) |
| Year | 2001 |
| Volume | 88 |
| Issue | 3_suppl |
| Pages | 1067-1070 |
| Publication date | 2001-06-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Psychological Reports (JOURNAL) |
| Journal identifiers | ISSN: 0033-2941 • E-ISSN: 1558-691X |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.2466/pr0.2001.88.3c.1067 |
| PMID | 11597053 |
| OpenAlex | W2075443723 |
| Language | EN |
| References cited | 3 |
The Dunn-Sidák multiple comparison procedure is used to test hypotheses and construct confidence intervals for two or more a priori nonorthogonal contrasts for population means. The procedure uses a levels that are not available in conventional t tables. In 1977 Games prepared a table of two tailed critical values that simplifies using the procedure. Researchers are accustomed to doubling alpha in a two-tailed t table to obtain the critical value in one tail. Unfortunately, doubling alpha in Games's table always gives one tailed critical values that are too small. Computational routines using the t inverse function in Microsoft Excel 98, SAS, and SPSS are presented for obtaining Dunn-Sidák one- and two-tailed critical values for ant familywise error rate, number of contrasts, and error degrees of freedom
A priori and a posteriori · Algorithm · Construct (python library · Data mining · Inverse · Inverse function · Population · Programming language · Statistics · Table (database · Advanced Statistical Methods and Models · Computer Science · Mathematics · Statistical Methods and Bayesian Inference · Statistical Methods in Clinical Trials
| Highly cited | No |
|---|