SmartPLS Regression
Run single and multiple regression with standardized and unstandardized coefficients, diagnostics, and robust standard errors.
What You Will Practice
The course follows the real SmartPLS workflow: import data, build the model, run regression or PLS-SEM, assess outputs, export tables, and write publishable results.
Bootstrapping
Use bootstrap standard errors, confidence intervals, t-values, and p-values for final significance assessment.
Reporting
Write clear results sections with tables, assessment criteria, interpretations, and limitations.
Paper-Based Track
A dedicated track turns the 2026 SmartPLS 4 regression tutorial paper into a classroom-ready workflow with HBAT-style data, multiple linear regression, logistic regression, assumption checks, and result reporting.
Paper Explainer
Understand the paper in simple language before using SmartPLS.
HBAT Case
Use the HBAT-style dataset for linear and logistic regression practice.
Assessment Workbook
Fill result tables for model fit, assumptions, coefficients, and reporting.
Curriculum
| Week | Module | Outcome |
|---|---|---|
| 1 | SmartPLS Regression Workflow | Choose the correct SmartPLS analysis route. |
| 2 | Data Preparation | Prepare clean CSV data and codebook. |
| 3 | Building a Regression Model | Draw dependent, independent, and control variables. |
| 4 | Running Linear Regression | Estimate single and multiple regression. |
| 5 | Assessing Regression Results | Interpret coefficients, R-square, and diagnostics. |
| 6 | Regression Bootstrapping | Use bootstrap inference for final reporting. |
| 7 | Reporting Regression Results | Write thesis and journal-ready output. |
| 8 | PLS-SEM Measurement Model | Assess reliability and validity. |
| 9 | PLS-SEM Structural Model | Assess paths, VIF, R-square, and f-square. |
| 10 | Prediction and PLSpredict | Assess predictive performance. |
| 11 | Common Reviewer Problems | Avoid common SmartPLS reporting weaknesses. |
| 12 | Capstone SmartPLS Report | Complete a full analysis report. |
| 13 | Logistic Regression in SmartPLS 4 | Run and report binary-outcome regression. |
Start the Course
Begin with the syllabus and Lab 1. Use the templates and checklists while exporting SmartPLS results.