QuickPLS Pro practice data

From engagement to trust: a consistent PLS lesson

Invented continuous teaching scores for this original exercise. These are not the cited paper’s respondents, questionnaire or results.

One row: one fictional travel-vlogger follower. Rows: 320.

Download the practice CSV · Return to the full tutorial

What is in the file?

Assessment columns contain continuous teaching scores between 1 and 7. A higher score means more of the property named in the table. Any binary assignment uses 0 and 1 as labels, as defined below. These are not real questionnaire responses or observations from the cited paper. The file contains no missing values. Keep case_id for checking rows, and leave it out of the analysis.

ColumnMeaningRoleValues
case_idFictional case identifierIdentifier; exclude from analysisUnique text label
ENG1Engagement, practice item 1reflective constructContinuous teaching score, 1 to 7; higher means more of the named property
ENG2Engagement, practice item 2reflective constructContinuous teaching score, 1 to 7; higher means more of the named property
ENG3Engagement, practice item 3reflective constructContinuous teaching score, 1 to 7; higher means more of the named property
TRU1Trust, practice item 1reflective constructContinuous teaching score, 1 to 7; higher means more of the named property
TRU2Trust, practice item 2reflective constructContinuous teaching score, 1 to 7; higher means more of the named property
TRU3Trust, practice item 3reflective constructContinuous teaching score, 1 to 7; higher means more of the named property
TIE1Social connection, practice item 1reflective constructContinuous teaching score, 1 to 7; higher means more of the named property
TIE2Social connection, practice item 2reflective constructContinuous teaching score, 1 to 7; higher means more of the named property
TIE3Social connection, practice item 3reflective constructContinuous teaching score, 1 to 7; higher means more of the named property
COM1Commitment, practice item 1reflective constructContinuous teaching score, 1 to 7; higher means more of the named property
COM2Commitment, practice item 2reflective constructContinuous teaching score, 1 to 7; higher means more of the named property
COM3Commitment, practice item 3reflective constructContinuous teaching score, 1 to 7; higher means more of the named property

Before you run the analysis

Import the CSV, check the row count and column types, then follow the model or calibration choices in the tutorial. Similar-looking columns are not automatically interchangeable. Do not use these data to support a claim about real people, organisations or the paper's findings.

Keep this column guide beside the lesson. Match the variable names and score directions before interpreting a result.

How the example was made

This file was generated from a saved random seed (261107103) and an original teaching design. Each factor has its own random variation; some include planned relationships so you can practise the method. Item columns add separate measurement noise. The data are scaled and bounded before export, so generation coefficients are not expected fitted coefficients. No QuickPLS result values are asserted by this codebook.

The sample size serves the exercise. Plan the sample size for a real study separately. Group labels, where present, are assigned independently and do not establish real group differences.

The original practice data are released under CC0 1.0. The source paper remains the work of its authors and publisher.

File identity

SHA-256: 099f0d2d73f0774d7ec4228f232d89112bf74ba1261f85ff37a005152b476adf

Download the practice-file checksums