SmartPLS 3: specification, estimation, evaluation and reporting

Authors

DOI:

https://doi.org/10.13058/raep.2019.v20n2.1545

Keywords:

Structural Equations Modeling, SmartPLS 3, Partial Least Squares

Abstract

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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Author Biographies

Diógenes de Souza Bido, Universidade Presbiteriana Mackenzie, São Paulo, SP

Doutor em Administração de Empresas pela FEA/USP.

Áreas de interesse em pesquisa: Aprendizagem organizacional; Metodologias quantitativas de análise de dados.

Dirceu da Silva, Universidade de Campinas, Campinas, SP

Doutor em Educação pela USP.

Áreas de interesse em pesquisa: Planejamento e Avaliação Educacional, Educação a distância e metodologias quantitativas de análise de dados.

Published

2019-05-02

How to Cite

Bido, D. de S., & da Silva, D. (2019). SmartPLS 3: specification, estimation, evaluation and reporting. Administração: Ensino E Pesquisa, 20(2), 488–536. https://doi.org/10.13058/raep.2019.v20n2.1545

Issue

Section

Recursos e Técnicas de Ensino e Pesquisa