QuickPLS Pro practice data

Follow the indirect path from AI use to perceived skill loss

Wholly invented teaching data. These are not the cited paper’s observations, scale items or fitted results.

One row: one fictional knowledge worker. Rows: 340.

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
initiative1Initiative, practice item 1predictorContinuous teaching score, 1 to 7; higher means more of the named property
initiative2Initiative, practice item 2predictorContinuous teaching score, 1 to 7; higher means more of the named property
initiative3Initiative, practice item 3predictorContinuous teaching score, 1 to 7; higher means more of the named property
usage1AI use, practice item 1first mediatorContinuous teaching score, 1 to 7; higher means more of the named property
usage2AI use, practice item 2first mediatorContinuous teaching score, 1 to 7; higher means more of the named property
usage3AI use, practice item 3first mediatorContinuous teaching score, 1 to 7; higher means more of the named property
depend1AI dependence, practice item 1second mediatorContinuous teaching score, 1 to 7; higher means more of the named property
depend2AI dependence, practice item 2second mediatorContinuous teaching score, 1 to 7; higher means more of the named property
depend3AI dependence, practice item 3second mediatorContinuous teaching score, 1 to 7; higher means more of the named property
loss1Perceived skill loss, practice item 1outcomeContinuous teaching score, 1 to 7; higher means more of the named property
loss2Perceived skill loss, practice item 2outcomeContinuous teaching score, 1 to 7; higher means more of the named property
loss3Perceived skill loss, practice item 3outcomeContinuous 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 (202611076) 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: 4f1b72087c9754ff6246a0e442efafbb024cddc1213142fa213b2ba67b2c32ac

Download the practice-file checksums