Table 4 Estimated fixed-effects parameters of the regression model (model 3) best and most economically predicting the pandemic PPT.

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

 

ß

SE

df

t

p

(Intercept)

5.32

0.19

1126

28.02

< 0.001

MP 2–1

0.12

0.11

1126

1.11

0.265

MP 3–2

− 0.05

0.11

1126

− 0.49

0.621

MP 4–3

0.00

0.11

1126

− 0.01

0.989

MP 5–4

− 0.13

0.11

1126

− 1.23

0.221

MP 6–5

0.24

0.11

1126

2.19

0.029

MP 7–6

− 0.09

0.11

1126

− 0.79

0.430

MP 8–7

0.06

0.11

1126

0.55

0.580

MP 9–8

0.07

0.11

1126

0.65

0.514

MP 10–9

− 0.04

0.11

1126

− 0.35

0.728

Boredom

− 0.31

0.02

1126

− 12.93

< 0.001

Valence

0.19

0.04

1126

5.04

< 0.001

  1. The model included the predictors measurement point (MP), boredom and valence. Shown are effect estimates (β), standard errors (SE), degrees of freedom (df), t and p values. The difference coding compares the means of two consecutive measurement points.
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