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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 madhësisë së efektit×
FushaStatistikëStatistikë
FamiljaHypothesis testHypothesis test
Viti i origjinës2005 (formalized)1969 (first edition); 1988 (definitive second edition)
KrijuesiAlgina, Keselman & Penfield; WilcoxJacob Cohen
LlojiRobust effect size estimationStandardized magnitude estimation
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 differenceeffect magnitude estimation, standardized effect measure, practical significance analysis, ES analysis
Të lidhura54
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.Effect size analysis quantifies the practical magnitude of a statistical result independently of sample size. Rather than asking only whether a difference or relationship is statistically significant, it asks how large it is, using standardized indices such as Cohen's d, eta-squared, omega-squared, or Pearson's r that allow direct comparison across studies and populations.
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ScholarGateKrahasoni metodat: Robust Effect Size Analysis · Effect size analysis. Marrë më 2026-06-15 nga https://scholargate.app/sq/compare