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Hypothesis testClassical statistics

Uchambuzi Imara wa Ukubwa wa Athari

Uchambuzi imara wa ukubwa wa athari hupima kiwango cha tofauti au uhusiano kwa kutumia vipimo ambavyo vinastahimili maadili ya nje (outliers) na ukiukaji wa dhana ya kawaida (normality). Badala ya kutegemea takwimu za kawaida kama vile Cohen's d inayotokana na wastani wa sampuli na kupotoka sanifu, mabadiliko imara hutumia wastani uliopunguzwa (trimmed means) na kupotoka sanifu kwa njia ya Winsor (Winsorized standard deviations) ili kutoa makadirio ya ukubwa wa athari ambayo yanaakisi kwa usahihi athari ya kawaida badala ya kuongezwa na maadili ya kipekee.

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Ingia

Method map

The neighbourhood of related methods — select a node to explore.

Vyanzo

  1. Algina, J., Keselman, H. J., & Penfield, R. D. (2005). An alternative to Cohen's standardized mean difference effect size: A robust parameter and confidence interval in the two independent groups case. Psychological Methods, 10(3), 317–328. DOI: 10.1037/1082-989X.10.3.317
  2. Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Robust Effect Size Analysis. ScholarGate. https://scholargate.app/sw/statistics/robust-effect-size-analysis

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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Imerejelewa na

ScholarGateRobust Effect Size Analysis (Robust Effect Size Analysis). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/statistics/robust-effect-size-analysis · Seti ya data: https://doi.org/10.5281/zenodo.20539026