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Validade Convergente Ordinal×Teste de Invariância de Medida×
ÁreaPsicometriaPsicometria
FamíliaLatent structureLatent structure
Ano de origem1959 (validity framework); ordinal adaptation 1990s–2000s2000
Autor originalPolychoric/tetrachoric correlation tradition (Pearson, 1900s); validity framework formalized by Campbell & Fiske (1959)Vandenberg & Lance
TipoValidity assessmentMulti-group confirmatory factor analysis procedure
Fonte seminalRhemtulla, M., Brosseau-Liard, P. E., & Savalei, V. (2012). When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions. Psychological Methods, 17(3), 354–373. DOI ↗Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature. Organizational Research Methods, 3(1), 4–70. DOI ↗
Outros nomesOCV, convergent validity for ordinal scales, polychoric convergent validity, ordinal AVEFactorial Invariance, Measurement Equivalence, Configural-Metric-Scalar Testing, Ölçüm Değişmezliği
Relacionados63
ResumoOrdinal convergent validity assesses the degree to which indicators of the same latent construct correlate strongly with each other when those indicators are measured on ordinal (e.g., Likert-type) scales. It adapts standard convergent validity procedures — factor loadings, average variance extracted, and HTMT ratios — to account for the discrete, bounded nature of ordinal response categories using polychoric correlations and ordinal-appropriate estimation methods.Measurement invariance testing is a sequence of nested confirmatory factor analysis (CFA) models that examines whether a psychological scale measures the same latent construct in the same way across distinct groups or time points. Systematized and popularized by Vandenberg and Lance (2000), the procedure tests a hierarchy of constraints — from identical factor patterns to identical item intercepts — so that researchers can justify meaningful group comparisons on latent means.
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ScholarGateComparar métodos: Ordinal Convergent Validity · Measurement Invariance. Recuperado em 2026-06-19 de https://scholargate.app/pt/compare