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dc.creatorSantos, Patricia Mendes dos-
dc.creatorCirillo, Marcelo Ângelo-
dc.date.accessioned2022-02-15T20:08:08Z-
dc.date.available2022-02-15T20:08:08Z-
dc.date.issued2021-
dc.identifier.citationSANTOS, P. M. dos; CIRILLO, M. A. Construction of the average variance extracted index for construct validation in structural equation models with adaptive regressions. Communications in Statistics - Simulation and Computation, New York, 2021. DOI: 10.1080/03610918.2021.1888122.pt_BR
dc.identifier.urihttps://doi.org/10.1080/03610918.2021.1888122pt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/49332-
dc.description.abstractA range of indicators, such as the average variance extracted (AVE), is commonly used to validate constructs. In statistics, AVE is a measure of the amount of variance that is captured by a construct in relation to the amount of variance due to measurement error. These conventional indices are formed by factor loadings resulting from estimated least squares or maximum likelihood regressions. Thus, a new proposition that provides new factor loadings may result in a more informative AVE index. Consequently, this study consists of the improvement of the index by using adaptive regressions. A Monte Carlo simulation study was performed considering different numbers of outliers generated by distributions with symmetry deviations and excess kurtosis and sample sizes defined as n = 50, 100, and 200. The conclusion was that, in formative structural models, the adaptive linear regression (ALR) method showed good efficiency for correctly specified models. The results obtained from the ALR method for models with specification errors showed low efficiency, as expected.pt_BR
dc.languageen_USpt_BR
dc.publisherTaylor & Francispt_BR
dc.rightsrestrictAccesspt_BR
dc.sourceCommunications in Statistics - Simulation and Computationpt_BR
dc.subjectAdaptive regressionpt_BR
dc.subjectStructural equation modelpt_BR
dc.subjectOutlierspt_BR
dc.subjectAverage variance extractedpt_BR
dc.subjectMonte Carlo simulationpt_BR
dc.subjectRegressão adaptativapt_BR
dc.subjectModelo de equação estruturalpt_BR
dc.subjectVariação média extraídapt_BR
dc.subjectSimulação de Monte Carlopt_BR
dc.titleConstruction of the average variance extracted index for construct validation in structural equation models with adaptive regressionspt_BR
dc.typeArtigopt_BR
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