Table 4 Hierarchical linear models predicting subjective well-being.

From: Identifying the top predictors of student well-being across cultures using machine learning and conventional statistics

Life satisfaction

Positive affect

Negative affect

Predictors

β

Predictors

β

Predictors

β

(Intercept)

7.32***

(Intercept)

3.23***

(Intercept)

2.65***

Sense of meaning

0.80***

Resilience

0.11***

General fear of failure

0.15***

Belonging

0.38***

Sense of meaning

0.13***

Gender

− 0.23***

Parental support

0.36***

Belonging

0.11***

Belonging

− 0.10***

General fear of failure

− 0.34***

Parental support

0.06***

GDP per capita

0.00c

GDP per capita

− 0.00a

GDP per capita

− 0.00b

Being bullied

0.08***

Random effects

 Within-student residual variance (σ2)

4.670

 

0.214

 

0.267

 Between-country variance (τ00, country)

0.108

 

0.010

 

0.021

 Between-school variance (τ00, school)

0.176

 

0.004

 

0.007

 Variance attributable to between-country variation (ICC country)

0.020

 

0.040

 

0.070

 Variance attributable to between-school variation (ICC school)

0.040

 

0.020

 

0.020

  1. a− 0.0000067, b− 0.00000083, c0.0000014; Gender: Female = 1, Male = 2; ***p < 0.001.