Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Permutācijas (randomizācijas) tests× | ANOVA ar atkārtotiem mērījumiem× | |
|---|---|---|
| Nozare | Statistika | Statistika |
| Saime≠ | Regression model | Hypothesis test |
| Izcelsmes gads≠ | 2005 | 1992 |
| Autors≠ | Good (2005); Edgington & Onghena (2007); resampling tradition | Girden (textbook treatment); Field (2013) |
| Tips≠ | Nonparametric resampling test | Parametric within-subjects mean comparison |
| Pirmavots≠ | Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792 | Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185 |
| Citi nosaukumi | randomization test, exact permutation test, re-randomization test, Permütasyon Testi | within-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA |
| Saistītās≠ | 5 | 4 |
| Kopsavilkums≠ | The permutation test is a nonparametric resampling procedure that builds the sampling distribution of a test statistic directly from the data by repeatedly shuffling the group labels. Developed in the resampling tradition and treated systematically by Good (2005) and Edgington & Onghena (2007), it requires no parametric distributional assumption and yields an exact p-value. | Repeated-measures ANOVA is a parametric hypothesis test that compares three or more measurements taken from the same individuals — typically across time points or conditions — to decide whether their means differ. It extends one-way ANOVA to within-subjects designs, as treated in standard references such as Girden (1992) and Field (2013). |
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