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Table 9 Differences between the three cohorts for wellbeing and predictor variables using null hypothesis significant testing (NHST) and Bayesian analyses

From: The role of personality traits and leisure activities in predicting wellbeing in young people

Variable

NHST

Bayes factor

Life satisfaction

Non-significant (F(2, 405) = 0.94, p = .393)

0.07

Strong support for the null hypothesis

Positive affect

Significant (F(2, 371) = 3.88, p = .021)

1.22

Anecdotal support for the alternate hypothesis

Negative affect

Non-significant (F(2, 371) = 0.38, p = .683)

0.05

Strong support for the null hypothesis

Mental health

Non-significant (F(2, 388) = 2.10, p = .124)

0.23

Moderate support for the null hypothesis

Flourishing/languishing

Non-significant (χ2(4) = 3.87, p = .426)

  

Extraversion

Non-significant (F(2, 405) = 0.33, p = .722)

0.04

Strong support for the null hypothesis

Agreeableness

Non-significant (F(2, 402) = 0.30, p = .739

0.04

Strong support for the null hypothesis

Conscientiousness

Non-significant (F(2, 402) = 1.45, p = .235)

0.11

Moderate support for the null hypothesis

Neuroticism

Significant (F(2, 194.69) = 8.50, p < .001)*

16.73

Strong support for the alternate hypothesis

Openness

Non-significant (F(2, 406) = 1.00, p = .370)

0.07

Moderate support for the null hypothesis

Creative hobbies

Significant (F(2) = 4.35, p = .014)

1.91

Anecdotal support for the alternate hypothesis

Physical Activity

Significant (F(2, 125.45) = 4.37, p = .015)*

4.39

Moderate support for the alternate hypothesis

Socialising

Significant (F(2, 275) = 5.84, p = .003)

8.55

Moderate support for the alternate hypothesis

Sedentary activities

Non-significant (F(2, 275) = 2.26, p = .106)

0.31

Moderate support for the null hypothesis

  1. * Welch’s F