Well-being and Psychological Predictors

Dataset Description

This dataset is about well-being scores (range: 10–100) with a series of psychological, behavioral, and demographic predictors.

Variables

Variable Type Description
age Continuous Age in years
gender Categorical Male, Female, or Other
income Continuous Annual income in €
exercise_freq Count Times exercising per week
social_support Continuous Perceived social support (0–10 scale)
therapy Categorical Whether the individual is in therapy
well_being Continuous Self-reported well-being (10 to 100)

Hypotheses to Test

We generated the data based on the following hypotheses:

  1. H1: Higher income is associated with higher well-being.
  2. H2: Greater social support is associated with higher well-being.
  3. H3: More frequent exercise is associated with higher well-being.
  4. H4: Individuals in therapy report higher well-being.
  5. H5: Age is negatively associated with well-being.
  6. H6: Therapy is especially beneficial for individuals with low social support (interaction).
  7. H7: The positive effect of exercise on well-being increases with income (interaction).
  8. H8: Gender has no effect on well-being (test of a null effect).
       age gender   income exercise_freq social_support therapy well_being
1 48.70958   Male 16961.79             1       6.301848      No   24.77800
2 29.35302 Female 27490.86             6       5.420772      No   49.12772
3 38.63128   Male 31710.07             0       4.310958      No   35.87966
4 41.32863 Female 25965.33             6       5.050138      No   43.59889
5 39.04268   Male 31046.59             2       9.075336      No   52.10580
6 33.93875   Male 26811.19             4       0.000000     Yes   50.28308

You can find the dataset here