Purpose and applicability
What power is expected for a Quality → Loyalty path of 0.30 at planned sample sizes of 80 and 120?
No completed-result prerequisite is required for the first run.
Do not use it merely because it is available
Use PLS power analysis only when its estimand, data roles and assumptions answer the stated research question. Choose a related estimator or diagnostic when the intended outcome is not among the documented outputs below.
Study preparation
- Teaching data
- customer-experience-pls.csv
- Observations
- 400
- Study type
- Deterministic synthetic teaching study
- Calculate route
- Calculate → PLS-SEM Sample Size and Power
Open the data dictionary and variable-role reference
Model
Quality (quality_1–quality_4) and Loyalty (loyalty_1–loyalty_4), both reflective
Quality → Loyalty
Exact workflow
Download customer-experience-pls.csv and the prepared customer-experience-pls-power.qpls project. Keep both files in a writable study folder.
Start QuickPLS, choose Open Project, and open the prepared project. Its saved model is already arranged and fitted.
Open Data and confirm that the study contains 400 observations. Return to the model or calculation workspace.
Confirm the saved model specification: Quality (quality_1–quality_4) and Loyalty (loyalty_1–loyalty_4), both reflective. Structural specification: Quality → Loyalty.
Confirm that construct labels, indicators, and arrows are readable. The supplied project is saved after Arrange and Fit; do not rearrange it before the tutorial run.
Choose Calculate, then use Calculate → PLS-SEM Sample Size and Power.
Review the essential settings listed below. Open Advanced settings only when the design requires a non-default option.
Resolve actionable blockers, review applicability warnings, and leave Open Results when finished selected.
Choose Start calculation. Wait for Completed, then confirm that Results opens for this method.
Inspect the named outputs below in order. Use Save Report, table Copy, or Export as required, then save and reopen the project to confirm the result remains available.
Essential and advanced settings
- Select Quality as predictor and Loyalty as outcome
- Use population path 0.30, sample-size grid 80,120, alpha 0.05, target power 0.80, and a deterministic seed
Keep other advanced controls at their documented defaults unless the study design requires a justified change. Record every non-default value in the research log.
Results to inspect
- Minimum sample-size decision
- Power curve
- Simulation accounting and convergence receipt
Interpretation guidance
For PLS power analysis, interpret the listed outputs together with the prerequisite result, the selected settings, model assumptions and data quality. The supplied values are instructional; they are not validation against an external paper or another software package.
- In the installed 2.62.8 build, the bounded teaching calculation completes but its completed result is rejected during canonical publication. The prepared model is therefore provided as an unqualified teaching template and result screenshots remain pending.
Reporting guidance
Report the QuickPLS version, PLS power analysis route, sample size, model or variable roles, preprocessing, essential settings, non-default advanced settings, and the named primary outputs. Retain the project, data checksum and exported table used in the manuscript.
Common mistakes and recovery
- Running the method before completing its prerequisite calculation.
- Changing the data, model or variable roles after the prerequisite result was saved.
- Treating an unavailable or not-applicable value as zero.
- Reporting an estimate without its method-appropriate uncertainty or diagnostic context.
Screen-by-screen evidence
Images shown here are mapped to this tutorial’s required installed-application evidence. Missing captures are labelled explicitly and are not replaced with generic screenshots.
Required screen 1: Imported teaching dataset is open
Required screen 2: The prepared project opens with its saved, neatly arranged model diagram
Required screen 3: Correct method and required settings are visible
Required screen 4: Primary PLS power analysis result is visible
Required screen 5: Second important PLS power analysis result is visible