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Krahasoni metodat

Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Analiza e madhësisë së efektit robust×Analiza e fuqisë×
FushaStatistikëStatistikë
FamiljaHypothesis testHypothesis test
Viti i origjinës2005 (formalized)1969 (1st ed.); 1988 (seminal 2nd ed.)
KrijuesiAlgina, Keselman & Penfield; WilcoxJacob Cohen
LlojiRobust effect size estimationSample size and power planning
Burimi themeluesAlgina, 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 ↗Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805802832
Emërtime të tjerarobust Cohen's d, trimmed-mean effect size, outlier-resistant effect size, robust standardized mean differencesample size calculation, power calculation, sensitivity analysis, a priori power analysis
Të lidhura55
PërmbledhjaRobust effect size analysis quantifies the magnitude of a difference or association using estimators that are resistant to outliers and violations of normality. Rather than relying on classical statistics such as Cohen's d based on sample means and standard deviations, robust variants use trimmed means and Winsorized standard deviations to produce effect size estimates that accurately reflect the typical effect rather than being inflated by extreme values.Power analysis is a planning and evaluation technique that quantifies the probability of detecting a real effect of a given magnitude at a chosen significance level. It links four quantities — sample size, effect size, significance level (alpha), and statistical power (1 minus beta) — so that researchers can determine the sample size needed before data collection or evaluate the sensitivity of a completed study.
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ScholarGateKrahasoni metodat: Robust Effect Size Analysis · Power analysis. Marrë më 2026-06-17 nga https://scholargate.app/sq/compare