QuickPLS Pro · Research software

PLS-SEM, fsQCA and more for your research

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.

How to install QuickPLS on Windows

Methods

41 methods. Find the one your study needs.

Browse by purpose or search for a method. Each guide covers the data, app steps and interpretation.

Help me choose a method ↗

PLS-SEM and component models

7

Estimate relationships between constructs and their indicators.

CFA and covariance-based SEM

6

Test factor structures and covariance-based models.

Model checks and interpretation

8

Examine measurement quality, model fit and interpretation.

Effects, mediation and endogeneity

4

Study mediation, moderation and nonlinear relationships.

Inference and sample planning

5

Assess uncertainty and plan the sample for your study.

Group comparison and segmentation

4

Compare groups and investigate differences within a sample.

Prediction and model selection

3

Compare models and assess predictions for new cases.

Set analysis and observed-data methods

4

Analyse configurations, necessary conditions and observed variables.

Further fsQCA and QCA tools 16 guides

Qualitative comparative analysis

fsQCA: examine combinations of conditions

The same outcome can occur under different combinations of conditions. fsQCA helps you examine those combinations and identify the cases that support each pathway.

  • Calibrate your data. Set membership thresholds and inspect the calibration curves.
  • Build and examine the truth table. Review case counts, consistency and contradictory rows before choosing your cut-offs.
  • Compare the solutions. Read pathway consistency and coverage, then check the cases behind the result.

Analyse the outcome and its absence separately. You can also compare alternative thresholds in a robustness study to see which findings hold up.

Calibration curves for condition and outcome memberships in a saved QuickPLS fsQCA study

QuickPLS and SmartPLS

Matching results for the same data and model

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 ↗
Same data and model: example results
What we comparedQuickPLSSmartPLS
Path coefficientCustomer satisfaction → Customer loyalty0.5050.505
Explained variance (R²)Customer loyalty0.5620.562
Indicator loadingCompetence: comp_10.8240.824

Research workflow

From model specification to reporting

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 ↗

Check the measurement model

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 ↗

Paper tutorials

Methods used in published research

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.

Browse the paper tutorials ↗

Recent paper · Leadership and environmental performance

Leadership and environmental performance: an fsQCA walkthrough in QuickPLS

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

Based on Leading With Contrast: How CEO Narcissism and Humility Shape Environmental PerformanceDiletta Vianello et al. · 2025Business Strategy and the Environment · ABDC A

Recent paper · Energy-sector capabilities

Energy-sector capabilities: mediation and necessary conditions

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

Based on From Capabilities to Competitive Greening: Managerial Commitment and Green Shared Vision as Serial Mediators in Energy-Sector SMEsAnna Chwiłkowska-Kubala et al. · 2026Business Strategy and the Environment · ABDC A

Recent paper · Destination branding

Destination brand image: a PLS-SEM tutorial

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

Based on Unpacking Destination Brand Equity: The Influence of Brand Familiarity and Perceived Quality Through Brand ImageInggang Perwangsa Nuralam et al. · 2025International Journal of Tourism Research · ABDC A

Get started

Getting started

Inspect a saved example or follow the first-study guide to build a model from practice data.