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Evaluación Robusta de la Validez de Contenido×Validez Discriminante×
CampoPsicometríaPsicometría
FamiliaLatent structureLatent structure
Año de origen1975 (base); 2000s–2010s (robust extensions)1959
Autor originalGrounded in Lawshe (1975) CVR framework; robust extensions draw on Huber, Wilcox, and robust statistics traditionDonald T. Campbell and Donald W. Fiske
TipoValidity evidence / expert judgement procedure with outlier-resistant aggregationValidity evidence / psychometric evaluation
Fuente seminalLawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563–575. link ↗Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105. DOI ↗
Aliasrobust CVR, outlier-resistant content validity, robust content validity index, robust expert-panel validationdiscriminant validity evidence, divergent validity, DV, AVE-based discriminant validity
Relacionados65
ResumenRobust content validity assessment applies outlier-resistant statistical methods to the aggregation of expert panel ratings in content validation studies. By detecting and down-weighting idiosyncratic or extreme rater judgements, it yields Content Validity Ratio (CVR) and Content Validity Index (CVI) estimates that reflect the consensus of the panel more accurately than standard averaging when one or a few raters deviate sharply from the group.Discriminant validity is evidence that a latent construct is empirically distinct from other constructs it should differ from. Originating in Campbell and Fiske's multitrait-multimethod framework (1959), it is a core component of construct validity and a mandatory check in scale development and structural equation modeling.
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ScholarGateComparar métodos: Robust Content Validity · Discriminant Validity. Recuperado el 2026-06-15 de https://scholargate.app/es/compare