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Uchambuzi Imara wa Kipengele

Uchambuzi imara wa kipengele hutumia mbinu za takwimu zinazostahimili vipengele vya nje (outlier-resistant) kutathmini vipengele binafsi vya kipimo au kiwango. Badala ya wastani wa kawaida na uwiano wa Pearson — zote huathiriwa na alama za kipekee — hutumia wastani uliopunguzwa (trimmed means), uwiano wa Winsorized, au vipimo M (M-estimators) kupata ugumu wa kipengele na viashirio vya utofautishaji wa kipengele-na-jumla ambavyo hubaki imara wakati usambazaji wa wajibu una miinuko au umechafuliwa na vipengele vya nje.

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Vyanzo

  1. Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838
  2. Huber, P. J. & Ronchetti, E. M. (2009). Robust Statistics (2nd ed.). Wiley. ISBN: 978-0470129906

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Robust Item Analysis. ScholarGate. https://scholargate.app/sw/psychometrics/robust-item-analysis

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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 Item Analysis (Robust Item Analysis). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/psychometrics/robust-item-analysis · Seti ya data: https://doi.org/10.5281/zenodo.20539026