Table 6 Regression coefficients, standard errors, and summary information for the winter holidays model fitted in US states with restrictions and US states without restrictions (multigroup analysis).

From: Bored by bothering? A cost-value approach to pandemic boredom

Ā 

Avoid (Mediator)

Pandemic boredom

Coeff.

SE

p

Coeff.

SE

p

Effort, US states with restrictions

āˆ’0.051

0.017

0.003

0.101

0.024

<0.0001

Effort, US states without restrictions

āˆ’0.052

0.022

0.019

0.084

0.023

<0.0001

Value, US states with restrictions

0.813

0.032

<0.001

āˆ’0.135

0.053

0.011

Value, US states without restrictions

0.820

0.027

<0.0001

āˆ’0.057

0.044

0.195

Boredom (trait), US states with restrictions

–

–

–

0.450

0.035

<0.001

Boredom (trait), US states without restrictions

–

–

–

0.363

0.040

<0.001

Avoid, US states with restrictions

–

–

–

0.305

0.047

<0.001

Avoid, US states without restrictions

–

–

–

0.204

0.040

<0.0001

R2, US states with restrictions

61.7%

23.4%

R2, US states without restrictions

64.5%

18.1%

Test statistic

χ²(6) = 21.782, p = 0.001

RMSEA

0.058, 90%CI [0.033, 0.086], p = 0.264

SRMR

0.026

CFI

0.992

TLI

0.973

  1. All coefficients are unstandardized. Standard errors (SE) were computed with bias-corrected bootstrap method (1000 bootstrap repetitions). N = 818 in the group US states with restrictions and N = 731 in the group US states without restrictions.