Table 9. Mediation analyses for chronotype, daydream frequency, mind wandering, sleep quality and positive affect.
Dependent variable = Daydream Frequency | |||||||||||
IV | Mediator 1 | Mediator 2 | DV | IV β | Mediator 1 β | Mediator 2 β | Age β | Gender β | |||
Path c | rMEQ | − | − | DF | −.110 | − | − | .034 | −.064 | ||
Path a1 | rMEQ | PSQI Global | − | − | −.170** | − | − | .108 | .056 | ||
Path a2 | rMEQ | − | PA | − | .232*** | − | − | −.043 | −.128* | ||
Paths b1, b2 & c’ | rMEQ | PSQI Global | PA | DF | −.008 (p = .897) | .266*** | −.246*** | −.006 | −.110 | ||
Final model: R = .428; adjusted R2 = .167; F(5, 264) = 11.816 Indirect effects: PSQI Global: bias corrected† 95% C.I. = −.2853 to −.0355; PA: bias corrected 95% C.I. = −.3178 to −.0758 | |||||||||||
Dependent variable = Mind Wandering | |||||||||||
IV | Mediator 1 | Mediator 2 | DV | IV β | Mediator 1 β | Mediator 2 β | Age β | Gender β | |||
Path c | rMEQ | − | − | MW | −.208** | − | − | .052 | .009 | ||
Path a1 | rMEQ | PSQI Global | − | − | −.170** | − | − | .108 | .056 | ||
Path a2 | rMEQ | − | PA | − | .232*** | − | − | −.043 | −.128* | ||
Paths b1, b2 & c’ | rMEQ | PSQI Global | PA | MW | −.098 (p = .084) | .293*** | −.263*** | .009 | −.041 | ||
Final model: R = .488; adjusted R2 = .224; F(5, 264) = 16.542 Indirect effects: PSQI Global: bias corrected 95% C.I. = −.2597 to −.0409; PA: bias corrected 95% C.I. = −.2828 to −.0683 | |||||||||||
Dependent variable = Chronotype | |||||||||||
IV | Mediator 1 | Mediator 2 | DV | IV β | Mediator 1 β | Mediator 2 β | Age β | Gender β | |||
Path c | DF | − | − | rMEQ | −.108 | − | − | −.042 | .132* | ||
Path a1 | DF | PSQI Global | − | − | .347*** | − | − | .102 | .06 | ||
Path a2 | DF | − | PA | − | −.335*** | − | − | −.041 | −.122* | ||
Paths b1, b2 & c’ | DF | PSQI Global | PA | rMEQ | −.008 (p = .897) | −.101 (p = .121) | .193** | −.024 | .161** | ||
Final model: R = .293; adjusted R2 = .068; F(5, 264) = 4.949 Indirect effects: PSQI Global: bias corrected 95% C.I. = −.0294 to .0042; PA: bias corrected 95% C.I. = −.0397 to −.0079 | |||||||||||
Dependent variable = Chronotype | |||||||||||
IV | Mediator 1 | Mediator 2 | DV | IV β | Mediator 1 β | Mediator 2 β | Age β | Gender β | |||
Path c | MW | − | − | rMEQ | −.204** | − | − | −.034 | .136* | ||
Path a1 | MW | PSQI Global | − | − | .393*** | − | − | .091 | .04 | ||
Path a2 | MW | − | PA | − | −.380*** | − | − | −.031 | −.103 | ||
Paths b1, b2 & c’ | MW | PSQI Global | PA | rMEQ | −.116 (p = .084) | −.068 (p = .298) | .162* | −.023 | .156** | ||
Final model: R = .310; adjusted R2 = .079; F(5, 264) = 5.606 Indirect effects: PSQI Global: bias corrected 95% C.I. = −.0337 to .0121; PA: bias corrected 95% C.I. = −.0477 to −.0061 |
Taking account of the difference between the initial and the mean indirect effect estimates.
*p≤.05;
**p≤.01;
***p≤.0005.