SmartPLS 3: specification, estimation, evaluation and reporting
The structural equation modeling with partial least squares estimation (PLS-SEM) has been used in a wide variety of research areas, increasing the number of articles published using this method in an exponential way. There are several reasons for this to be happening, but one of them is the fact tha...
| Autores: | , |
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| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2019 |
| País: | Brasil |
| Recursos: | Associação Nacional dos Cursos de Graduação em Administração (ANGRAD) |
| Repositorio: | Administração (São Paulo. Online) |
| Idioma: | portugués inglés |
| OAI Identifier: | oai:ojs.raep.emnuvens.com.br:article/1545 |
| Acesso em linha: | https://raep.emnuvens.com.br/raep/article/view/1545 |
| Access Level: | acceso abierto |
| Palavra-chave: | Structural Equations Modeling SmartPLS 3 Partial Least Squares Modelagem de Equações Estruturais Mínimos Quadrados Parciais |
| Resumo: | The structural equation modeling with partial least squares estimation (PLS-SEM) has been used in a wide variety of research areas, increasing the number of articles published using this method in an exponential way. There are several reasons for this to be happening, but one of them is the fact that the SmartPLS software facilitated the use of PLS-SEM. This article aims to present seven didactic examples with real data sets available to those who want to learn or teach PLS-SEM, dealing with such topics as measurement model evaluation, structural model evaluation, multicollinearity, second-order latent variable, mediation, moderation with numerical and categorical variables (MGA - multi-group analysis). |
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