30/09/2026
🔗 OPEN ACCESS: https://doi.org/10.1080/10705511.2026.2633754 🚀 NEW PAPER: PLSc-SEM meets SmartPLS 4!
How can researchers estimate common factor models within the PLS-SEM framework?
Our new 𝘛𝘦𝘢𝘤𝘩𝘦𝘳’𝘴 𝘊𝘰𝘳𝘯𝘦𝘳 article, “𝐂𝐨𝐧𝐬𝐢𝐬𝐭𝐞𝐧𝐭 𝐏𝐚𝐫𝐭𝐢𝐚𝐥 𝐋𝐞𝐚𝐬𝐭 𝐒𝐪𝐮𝐚𝐫𝐞𝐬 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐚𝐥 𝐄𝐪𝐮𝐚𝐭𝐢𝐨𝐧 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 𝐔𝐬𝐢𝐧𝐠 𝐒𝐦𝐚𝐫𝐭𝐏𝐋𝐒,” is now published in Structural Equation Modeling: A Multidisciplinary Journal by Taylor & Francis Group.
📊 In this hands-on tutorial, we provide a comprehensive introduction to consistent partial least squares structural equation modeling (PLSc-SEM) using SmartPLS 4.
PLSc-SEM corrects construct correlations for attenuation, thereby enabling the estimation of common factor models within a composite-based SEM framework.
We show step by step how to:
🔹 specify and estimate PLSc-SEM models in SmartPLS 4
🔹 interpret and assess the resulting estimates
🔹 understand the differences between PLSc-SEM and traditional PLS-SEM
🔹 compare PLSc-SEM with other composite-based SEM estimators
🔹 contrast the results with covariance-based SEM (CB-SEM) using maximum likelihood estimation
🎓 As a Teacher’s Corner contribution, our aim was to make PLSc-SEM accessible and practically useful — for methodological researchers, instructors, PhD students, and researchers applying SEM in empirical studies.
🤝 A great collaboration among:
Jun-Hwa Cheah — University of East Anglia | Sohar University
Marko Sarstedt — Ludwig-Maximilians-Universität München | Babeș-Bolyai-Universität
Joe Hair — University of South Alabama
Christian M. Ringle — Technische Universität Hamburg | James Cook University
📖 The article is OPEN ACCESS — please feel free to read, use, teach, and share it:
👉 https://doi.org/10.1080/10705511.2026.2633754
💬 I would be very interested to hear from the SEM community:
Where do you see the most promising applications of PLSc-SEM — and are you already using it in your research or teaching?
