V. Margalina, Charlotte Kreienbaum, Joe F. Hair, Jan-Michael Becker, C. Ringle
2026.3.2Journal of Marketing Analytics
tlooto Summary
This tutorial and case study provides a comprehensive, step-by-step guide to conducting multiple and logistic regression analyses using SmartPLS 4.0, and introduces the theoretical foundations of both standard multiple and logistic regression.
Abstract
This tutorial and case study provides a comprehensive, step-by-step guide to conducting multiple and logistic regression analyses using SmartPLS 4. Although SmartPLS is primarily known for partial least squares structural equation model - ing (PLS-SEM), its latest version includes features that enable researchers to perform and visualize regression analyses effectively. The tutorial introduces the theoretical foundations of both standard multiple and logistic regression, outlines the main stages of model specification and estimation, and demonstrates how to implement these analyses within the SmartPLS environment. Emphasis is placed on key analytical decisions, such as model design, assumption testing, inter - pretation of coefficients, and goodness-of-fit measures. Practical examples and graphical outputs are included to illustrate the implementation process and to enhance understanding of the results.
Citation format
MARGALINA, V., et al. Multiple linear and logistic regression analysis: A smartpls 4 software tutorial. Journal of Marketing Analytics, 2026.