Introduction to Partial Least Square: Common Criteria and Practical Considerations

Abstract:

In the social science research area, there are two important statistical methodologies, one is covariance-based structural equation modeling (CBSEM), and the other one is variance-based partial least square (PLS). Compared with CBSEM, PLS lacks comparatively the reference books and full applications. The main purpose of this study is to develop a paradigm to demonstrate how to assess the reliability, convergent validity, discriminant validity, and path analysis in a proposed research model by using Smart PLS. We hope this study’s result can offer some correct steps when using PLS.

• Periodical: Advanced Materials Research (Volumes 779-780)
• Pages: 1766-1769
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.779-780.1766
• Online since: September 2013
• Authors: Ke Hwa Lee, Shih Chih Che
• Keywords: Covariance-Based Structural Equation Modeling (CBSEM), Partial Least Square (PLS), Structural Equation Modeling (SEM)

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