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Robustní analýza položek×Vývoj škály×
OborPsychometrikaPsychometrika
RodinaLatent structureLatent structure
Rok vzniku1980s–2000s1991–1995
TvůrceRobust methods tradition (Huber, Hampel, Tukey); applied to item analysis by Wilcox and colleaguesMultiple contributors; codified by Robert DeVellis and Lee Anna Clark & David Watson
TypDiagnostic / item-level evaluationMulti-step methodological framework
Původní zdrojWilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838DeVellis, R. F. (2016). Scale Development: Theory and Applications (4th ed.). SAGE Publications. ISBN: 978-1506341569
Další názvyrobust item statistics, outlier-resistant item analysis, robust classical item analysisquestionnaire construction, instrument development, measurement scale construction, psychometric scale building
Příbuzné55
ShrnutíRobust item analysis applies outlier-resistant statistical methods to the evaluation of individual test or scale items. Instead of classical means and Pearson correlations — both sensitive to extreme scores — it uses trimmed means, Winsorized correlations, or M-estimators to obtain item difficulty and item-total discrimination indices that remain stable when respondent distributions are skewed or contaminated by outliers.Scale development is a structured, multi-step process for creating psychometrically sound measurement instruments that capture latent psychological constructs. It encompasses construct definition, item generation, expert review, exploratory and confirmatory factor analysis, reliability estimation, and validity evidence collection — producing a final set of items suitable for quantitative research.
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ScholarGatePorovnat metody: Robust Item Analysis · Scale development. Získáno 2026-06-15 z https://scholargate.app/cs/compare