SmartPLS — Brand Summaries
AI-powered summaries of 14 videos about SmartPLS.
14 summaries
What is Mediation Analysis: Theory, Issues, and Suggestions
Mediation analysis matters because many social-science relationships are not purely direct: an independent variable (X) can influence an outcome (Y)...
My Data Collection is Over! How do I start the Data Analysis using #SmartPLS4?
SmartPLS 4 is presented as a practical workflow for moving from raw survey data to a fully tested structural equation model—covering measurement...
#SmartPLS4 Series 33 - How to use PLS Predict to assess Predictive Validity/Predictive Power?
Relying on R² to judge predictive quality can mislead researchers because R² measures in-sample explanatory power, not out-of-sample predictive...
10Min Research - 37. What to do after the Data Collection: How to Start the Data Analysis?
Once questionnaire data is collected, the next decisive step is setting up a clean analysis workflow—starting with coding, moving through descriptive...
#SmartPLS4 Series 28 - How to Perform Moderation Analysis with Multiple Moderators
Moderation analysis in SmartPLS 4 can be run as part of a single, integrated structural equation model—yet it may still produce a clear outcome: role...
Robustness Checks using #SmartPLS4 - Linearity - Endogeneity - Heterogeneity
Structural equation modeling in SmartPLS relies on assumptions that can quietly break results—so robustness checks matter before interpreting paths....
CB-SEM using #SmartPLS4 - 2 - An Introduction to Structural Equation Modeling (SEM)
Structural equation modeling (SEM) is positioned as the right tool for testing complex causal frameworks—especially when multiple mediators, indirect...
Importance Performance MAP Analysis using #SmartPLS4
Importance Performance Map Analysis (IPMA) in SmartPLS is a prioritization tool that ranks predictors by two things at once: how strongly they matter...
Cleaning Data Entry Errors in MS Excel
Excel can be used to audit questionnaire data for data-entry errors and respondent misconduct by systematically checking each variable’s minimum,...
CB-SEM using #SmartPLS4 - 3 - Understanding Basic Concepts in Structural Equation Modeling (SEM)
Structural equation modeling (SEM) is built to test relationships among theoretical constructs by modeling both the constructs and the measurement...
Data Distribution/Normality in PLS SEM using SmartPLS
PLS-SEM work in SmartPLS often raises a practical question: should researchers test whether survey responses are normally distributed? The core...
The Concept and Process of Predictive Power Assessment using PLSPredict in SmartPLS3
Predictive power in PLS-SEM can’t be judged by R² alone, because R² measures in-sample explanatory strength, not out-of-sample forecasting. To assess...
What if the condition is not necessary? NCA using PLS-SEM in #SmartPLS4
Necessary Condition Analysis (NCA) in SmartPLS-SEM is often framed around whether an antecedent’s presence is required for an outcome. This session...
First Basic Model using GSCA in #SmartPLS
Generalized Structured Component Analysis (GSCA) in SmartPLS is presented as a new way to run structural equation models that estimates path...