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📋 Survey practice dataset (150 respondents)

A general-purpose synthetic survey for practising every StatLab procedure: demographics, a pre/post test, a five-item satisfaction scale, income with missing values, smoking and education. 150 cases, 15 variables. Field: social science · level: beginner.

Open in StatLab   Download: CSV · Excel (.xlsx, with codebook sheet) · SPSS (.sav, with labels)

What does each variable mean? (codebook)

VariableLabelMeasureValue labelsValues
idRespondent IDscale1–150, mean 75.50
genderGendernominal1 = Male, 2 = Female2 categories
groupProgramme groupnominal1 = Control, 2 = Programme A, 3 = Programme B3 categories
ageAge (years)scale18–65, mean 41.25
prePre-test scorescale23.5–78.41, mean 51.38
postPost-test scorescale20.98–83.41, mean 54.45
q1Satisfaction item 1ordinal1 = Strongly disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly agree5 categories
q2Satisfaction item 2ordinal1 = Strongly disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly agree5 categories
q3Satisfaction item 3ordinal1 = Strongly disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly agree5 categories
q4Satisfaction item 4ordinal1 = Strongly disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly agree5 categories
q5Satisfaction item 5ordinal1 = Strongly disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly agree5 categories
incomeMonthly income (RM)scale715–31375, mean 3639.56
smokerSmokernominal0 = No, 1 = Yes2 categories
educHighest educationordinal1 = Primary, 2 = Secondary, 3 = Diploma, 4 = Degree4 categories
scoreWellbeing scorescale47.508–92.272, mean 69.50

Which analyses suit this dataset?

Licence

Synthetic data produced by a seeded random process for teaching (no real people or organisations). Released under CC0 1.0 (public domain dedication) by Jupiter2u — free to use, share and adapt.