Tau-U
Tau-U is a rank-based effect-size index for single-case research that combines the degree of nonoverlap between baseline and treatment phases with the trend within phases, and that can optionally subtract out any improving trend already present in the baseline. Developed by Richard Parker, Kimberly Vannest, and colleagues in 2011, it extends the Nonoverlap of All Pairs (NAP) statistic by adding a Kendall-style trend component, giving practitioners a single index that is robust to outliers, has a known sampling distribution for significance testing, and does not unfairly credit a treatment for change that the baseline was already heading toward.
Изворни запис
Цитирани радови су копирани дословно из изворног записа методе. Из њих се не изводи верификација на нивоу тврдње.
- Parker, R. I., Vannest, K. J., Davis, J. L., & Sauber, S. B. (2011). Combining nonoverlap and trend for single-case research: Tau-U. Behavior Therapy, 42(2), 284–299. · DOI 10.1016/j.beth.2010.08.006
- Parker, R. I., & Vannest, K. J. (2009). An improved effect size for single-case research: Nonoverlap of all pairs. Behavior Therapy, 40(4), 357–367. · DOI 10.1016/j.beth.2008.10.006
Куроване тврдње
Тврдње су сачуване у регистру доказа, свака са својом проценом.
Овај приказ не измишља процену тврдње када регистар нема ниједну.
Сродне методе
Генерисано из графа метода и приказано као машински предложене везе — не изводи се тврдња доказа.