QuickPLS Pro practice data

Do two resident groups really have different relationships?

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

One row: one fictional resident. Rows: 400.

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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
FAIR1Perceived fairness, practice item 1reflective constructContinuous teaching score, 1 to 7; higher means more of the named property
FAIR2Perceived fairness, practice item 2reflective constructContinuous teaching score, 1 to 7; higher means more of the named property
FAIR3Perceived fairness, practice item 3reflective constructContinuous teaching score, 1 to 7; higher means more of the named property
ENV1Environmental confidence, practice item 1reflective constructContinuous teaching score, 1 to 7; higher means more of the named property
ENV2Environmental confidence, practice item 2reflective constructContinuous teaching score, 1 to 7; higher means more of the named property
ENV3Environmental confidence, practice item 3reflective constructContinuous teaching score, 1 to 7; higher means more of the named property
SUP1Development support, practice item 1reflective constructContinuous teaching score, 1 to 7; higher means more of the named property
SUP2Development support, practice item 2reflective constructContinuous teaching score, 1 to 7; higher means more of the named property
SUP3Development support, practice item 3reflective constructContinuous teaching score, 1 to 7; higher means more of the named property
QOL1Expected quality of life, practice item 1reflective constructContinuous teaching score, 1 to 7; higher means more of the named property
QOL2Expected quality of life, practice item 2reflective constructContinuous teaching score, 1 to 7; higher means more of the named property
QOL3Expected quality of life, practice item 3reflective constructContinuous teaching score, 1 to 7; higher means more of the named property
GROUPA: fictional nearby residents; B: fictional farther-away residentsGrouping only; not a numerical predictorA, B; assigned independently for this exercise

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 (261107111) 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: 7449cb240a37101b5d566ce9cb67bcf8fbd420585b171d46c2f423785205cfa6

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