A Step-by-Step Guide to SmartPLS 4 Data Analysis Using PLS-SEM, CB-SEM, PROCESS, and Regression
More functions can make software convenient while encouraging method selection by menu availability. Chua Yan Piaw’s A Step-by-Step Guide to SmartPLS 4 (2024) can instead be approached as an opportunity to compare analytical purposes before practicing a particular route.
Start reading
A Step-by-Step Guide to SmartPLS 4
Data Analysis Using PLS-SEM, CB-SEM, PROCESS and Regression
Researchtree · 2024 · EnglishISBN 9798320423203Original book cover; the language and edition are identified alongside it.
Breadth with a purpose
The SmartPLS book description lists examples across PLS-SEM, CB-SEM, PROCESS and regression, including CFA, mediation, moderation and necessary-condition work. That scope distinguishes it from the author’s focused PLS-SEM title. It does not imply that one project should combine every method.
Keep a research setting constant while changing the question: measurement assessment, prediction and an indirect mechanism require different evidence. A common interface does not make their assumptions interchangeable.
Use examples to test understanding
PLS-SEM readers should reconsider assessment when entering CFA or CB-SEM; regression readers should distinguish sum scores from latent-variable models. These are suggested reading questions, not a replacement for methodological justification.
Exercise created by Lê Minh: write three hypothetical briefs concerning scale evaluation, prediction and an indirect mechanism. State objectives, variables, design and reporting needs before choosing a section. Do not run everything and select favorable findings.
After an example, explain why its method fits better than at least one alternative. “The software offers it” is a sign that further reading is needed.
Keep the object being analyzed visible: an observed score, a latent factor and a composite are not interchangeable labels. A comparative reading notebook can record those distinctions before you consider whether two methods should yield similar numerical results.
Identity and review limits
The author’s record identifies the 2024 book with ISBN 9798320423203. This introduction uses that record and the public SmartPLS description rather than claiming a full-text review. Verify the contents of the supplied version. The book may suit readers expanding beyond one analytical family, while newcomers needing only PLS-SEM may prefer the focused title first.
Choose a companion reading
Continue with: A Step-by-Step Guide (Updated version · English); Principles and Practice of Structural Equation Modeling (Fifth edition · 2023 · English).
Source and edition
Chua, Y. P. (2024). A step-by-step guide to SmartPLS 4: Data analysis using PLS-SEM, CB-SEM, PROCESS and regression. Researchtree.