Table 3.

Associations of distraction, well-being, and presence motivations with digital disconnection lagged between different situations

Multilevel models on disconnection lagged by t situations
t =0
t =1
t =2
Fixed effectsb (β)b (β)b (β)
[95% CI][95% CI][95% CI]
Intercept0.600.440.42
Distraction
m. (b.)
0.01 (.03)
[−0.01–0.03]
0.00 (.01)
[−0.02–0.03]
−0.00 (−.00)
[−0.03–0.03]
Distraction
m. (w.)
0.02 (.07)***
[0.01–0.02]
0.01 (.04)***
[0.00–0.01]
0.01 (.04)**
[0.00–0.02]
Well-being
m. (b.)
0.01 (.03)
[−0.01–0.02]
0.02 (.10)**
[0.00–0.04]
0.03 (.13)**
[0.01–0.05]
Well-being
m. (w.)
-0.00 (−.01)
[−0.01–0.00]
0.01 (.03)*
[0.00–0.01]
0.00 (.01)
[−0.01–0.01]
Presence m. (b.)0.02 (.09)*
[0.01–0.04]
0.02 (.09)*
[0.00–0.05]
0.03 (.10)*
[0.00–0.05]
Presence m. (w.)0.02(.09)***
[0.02–0.02]
0.01 (.03)**
[0.00–0.01]
0.00 (.01)
[−0.00–0.01]
Model
 ICC.44.37.40
R2marg./R2cond..05/.47.03/0.39.03/.42
N370346323
T9,0625,5423,321
Multilevel models on disconnection lagged by t situations
t =0
t =1
t =2
Fixed effectsb (β)b (β)b (β)
[95% CI][95% CI][95% CI]
Intercept0.600.440.42
Distraction
m. (b.)
0.01 (.03)
[−0.01–0.03]
0.00 (.01)
[−0.02–0.03]
−0.00 (−.00)
[−0.03–0.03]
Distraction
m. (w.)
0.02 (.07)***
[0.01–0.02]
0.01 (.04)***
[0.00–0.01]
0.01 (.04)**
[0.00–0.02]
Well-being
m. (b.)
0.01 (.03)
[−0.01–0.02]
0.02 (.10)**
[0.00–0.04]
0.03 (.13)**
[0.01–0.05]
Well-being
m. (w.)
-0.00 (−.01)
[−0.01–0.00]
0.01 (.03)*
[0.00–0.01]
0.00 (.01)
[−0.01–0.01]
Presence m. (b.)0.02 (.09)*
[0.01–0.04]
0.02 (.09)*
[0.00–0.05]
0.03 (.10)*
[0.00–0.05]
Presence m. (w.)0.02(.09)***
[0.02–0.02]
0.01 (.03)**
[0.00–0.01]
0.00 (.01)
[−0.00–0.01]
Model
 ICC.44.37.40
R2marg./R2cond..05/.47.03/0.39.03/.42
N370346323
T9,0625,5423,321

Notes. Regression coefficients are unstandardized. Bold values represent statistically significant associations.

*

p < .05,

**

p < .01,

***

p < .001. m. = motivation, b. = between persons, w. = within persons. Only lags across approximately equidistant time frames are included. Varying slopes were not assessed due to model complexity.

Table 3.

Associations of distraction, well-being, and presence motivations with digital disconnection lagged between different situations

Multilevel models on disconnection lagged by t situations
t =0
t =1
t =2
Fixed effectsb (β)b (β)b (β)
[95% CI][95% CI][95% CI]
Intercept0.600.440.42
Distraction
m. (b.)
0.01 (.03)
[−0.01–0.03]
0.00 (.01)
[−0.02–0.03]
−0.00 (−.00)
[−0.03–0.03]
Distraction
m. (w.)
0.02 (.07)***
[0.01–0.02]
0.01 (.04)***
[0.00–0.01]
0.01 (.04)**
[0.00–0.02]
Well-being
m. (b.)
0.01 (.03)
[−0.01–0.02]
0.02 (.10)**
[0.00–0.04]
0.03 (.13)**
[0.01–0.05]
Well-being
m. (w.)
-0.00 (−.01)
[−0.01–0.00]
0.01 (.03)*
[0.00–0.01]
0.00 (.01)
[−0.01–0.01]
Presence m. (b.)0.02 (.09)*
[0.01–0.04]
0.02 (.09)*
[0.00–0.05]
0.03 (.10)*
[0.00–0.05]
Presence m. (w.)0.02(.09)***
[0.02–0.02]
0.01 (.03)**
[0.00–0.01]
0.00 (.01)
[−0.00–0.01]
Model
 ICC.44.37.40
R2marg./R2cond..05/.47.03/0.39.03/.42
N370346323
T9,0625,5423,321
Multilevel models on disconnection lagged by t situations
t =0
t =1
t =2
Fixed effectsb (β)b (β)b (β)
[95% CI][95% CI][95% CI]
Intercept0.600.440.42
Distraction
m. (b.)
0.01 (.03)
[−0.01–0.03]
0.00 (.01)
[−0.02–0.03]
−0.00 (−.00)
[−0.03–0.03]
Distraction
m. (w.)
0.02 (.07)***
[0.01–0.02]
0.01 (.04)***
[0.00–0.01]
0.01 (.04)**
[0.00–0.02]
Well-being
m. (b.)
0.01 (.03)
[−0.01–0.02]
0.02 (.10)**
[0.00–0.04]
0.03 (.13)**
[0.01–0.05]
Well-being
m. (w.)
-0.00 (−.01)
[−0.01–0.00]
0.01 (.03)*
[0.00–0.01]
0.00 (.01)
[−0.01–0.01]
Presence m. (b.)0.02 (.09)*
[0.01–0.04]
0.02 (.09)*
[0.00–0.05]
0.03 (.10)*
[0.00–0.05]
Presence m. (w.)0.02(.09)***
[0.02–0.02]
0.01 (.03)**
[0.00–0.01]
0.00 (.01)
[−0.00–0.01]
Model
 ICC.44.37.40
R2marg./R2cond..05/.47.03/0.39.03/.42
N370346323
T9,0625,5423,321

Notes. Regression coefficients are unstandardized. Bold values represent statistically significant associations.

*

p < .05,

**

p < .01,

***

p < .001. m. = motivation, b. = between persons, w. = within persons. Only lags across approximately equidistant time frames are included. Varying slopes were not assessed due to model complexity.

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