Table 3 Stepwise regression. In a stepwise manner, the pandemic boredom ratings, valence ratings and PHQ scores are added to the model predicting the pandemic PPT from the measurement points (MP) of the main study.

From: Adapting to the pandemic: longitudinal effects of social restrictions on time perception and boredom during the Covid-19 pandemic in Germany

Model

Predictors

df

AIC

BIC

R2

LL

Test

L. ratio

p

1

MP

12

3808

3870

0.56

− 1892.20

   

2

MP + boredom

13

3607

3674

0.59

− 1790.70

1 vs. 2

203.01

< 0.001

3

MP + boredom + valence

14

3589

3661

0.59

− 1780.52

2 vs. 3

20.35

< 0.001

4

MP + boredom + valence + PHQ

15

3594

3671

0.59

− 1781.96

3 vs. 4

2.87

0.090

  1. For the statistical model comparisons, the degrees of freedom (df), Akaike information criteria (AIC) and Bayesian information criteria (BIC), R2, Log-Likelihood (LL), log-likelihood ratio (L. Ratio) and p-values are reported.
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