Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Prueba t para muestras pareadas× | ANOVA de medidas repetidas× | |
|---|---|---|
| Campo | Estadística | Estadística |
| Familia | Hypothesis test | Hypothesis test |
| Año de origen≠ | 1908 | 1992 |
| Autor original≠ | Student (W. S. Gosset) | Girden (textbook treatment); Field (2013) |
| Tipo≠ | Parametric mean comparison | Parametric within-subjects mean comparison |
| Fuente seminal≠ | Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗ | Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185 |
| Alias | dependent t-test, matched pairs t-test, repeated measures t-test, within-subjects t-test | within-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA |
| Relacionados≠ | 3 | 4 |
| Resumen≠ | The paired samples t-test is a parametric hypothesis test that compares the means of two related measurements from the same subjects or matched pairs to determine whether the average difference is significantly different from zero. It leverages the dependency between observations to produce a more powerful test than its independent-samples counterpart. | 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). |
| ScholarGateConjunto de datos ↗ |
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