Build on a sample project
Open an example to explore its data, model and saved results. Make a working copy before adapting it to your study.
Browse practice projects ↗QuickPLS Pro · Research software
QuickPLS Pro brings 41 calculation methods into one desktop application, including PLS-SEM, CB-SEM, fsQCA, NCA and regression.
You can start with your own data or open a sample project to see how an analysis works. The tutorials explain the setup and results, with examples you can follow for your own research.
Keep your data, model and saved results in one project, ready to revisit when you write or revise your paper.
Methods
Browse by purpose or search for a method. Each guide covers the data, app steps and interpretation.
41 methods
Estimate relationships between constructs and their indicators.
Test factor structures and covariance-based models.
Examine measurement quality, model fit and interpretation.
Study mediation, moderation and nonlinear relationships.
Assess uncertainty and plan the sample for your study.
Compare groups and investigate differences within a sample.
Compare models and assess predictions for new cases.
Analyse configurations, necessary conditions and observed variables.
No methods match your search. Try another term or clear the filters.
Qualitative comparative analysis
The same outcome can occur under different combinations of conditions. fsQCA helps you examine those combinations and identify the cases that support each pathway.
Analyse the outcome and its absence separately. You can also compare alternative thresholds in a robustness study to see which findings hold up.
QuickPLS and SmartPLS
We tested QuickPLS and SmartPLS using the same dataset, model and calculation settings. All the results we compared matched to three decimal places.
The table shows three examples: a relationship between constructs, the variance explained in an outcome, and an indicator loading. Read across each row to compare the two applications.
See all results and repeat the comparison ↗| What we compared | QuickPLS | SmartPLS |
|---|---|---|
| Path coefficientCustomer satisfaction → Customer loyalty | 0.505 | 0.505 |
| Explained variance (R²)Customer loyalty | 0.562 | 0.562 |
| Indicator loadingCompetence: comp_1 | 0.824 | 0.824 |
Research workflow
Open an example to explore its data, model and saved results. Make a working copy before adapting it to your study.
Browse practice projects ↗Read loadings, reliability, AVE and HTMT together. The guides explain what each table tells you and which results deserve a closer look.
Understand measurement results ↗Export the tables from a saved analysis and keep the project for reporting and revision.
Follow the complete workflow ↗Paper tutorials
Learn to apply a published study’s type of analysis in QuickPLS. Follow the app steps, practise with supplied data and work through the results.
Recent paper · Leadership and environmental performance
Follow the fsQCA approach used in a published leadership study. Import the practice data into QuickPLS, calibrate six conditions, build a truth table and interpret the resulting combinations.
fsQCA
Practice data · Calculated answers
Recent paper · Energy-sector capabilities
Trace an indirect relationship through two mediators, then run a separate NCA exercise. Compare what the two analyses tell you about the same business question.
Regression · Mediation · NCA
Practice data · Calculated answers
Recent paper · Destination branding
Build a model of familiarity, destination image and brand relationships. Check the indicators and compare direct and indirect effects using the practice answers.
PLS-SEM · Mediation
Practice data · Calculated answers
Get started
Inspect a saved example or follow the first-study guide to build a model from practice data.