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Table 4 Random effects model for relative educational disparities (RII) in preventive behaviours, risk perception, perceived effectiveness, and trust (Number of observations: 15,902; number of individuals: 4,690)

From: Trends in educational disparities in preventive behaviours, risk perception, perceived effectiveness and trust in the first year of the COVID-19 pandemic in Germany

 

M1

M2

M3

M4

 

beta (95%-CI)

beta (95%-CI)

beta (95%-CI)

beta (95%-CI)

Preventive behaviours

RII

20.09***

20.46***

21.20***

19.03***

(12.354,27.826)

(12.708,28.213)

(13.425,28.965)

(11.193,26.866)

Trend

(linear)

5.350***

5.222***

5.316***

5.384***

(2.504,8.197)

(2.375,8.068)

(2.472,8.160)

(2.539,8.228)

Trend (quadratic)

-1.426***

-1.393**

-1.412**

-1.428***

(-2.268,-0.584)

(-2.235,-0.550)

(-2.254,-0.571)

(-2.269,-0.586)

RII*Trend (linear)

-6.706**

-6.584**

-6.655**

-6.728**

(-11.222,-2.190)

(-11.100,-2.069)

(-11.166,-2.144)

(-11.240,-2.217)

RII*Trend (quadratic)

1.842**

1.808**

1.820**

1.837**

(0.486,3.198)

(0.451,3.164)

(0.465,3.175)

(0.481,3.192)

\({R}^{2}\)

0.005

0.016

0.052

0.054

\({\widehat{\sigma }}_{u}\)

23.192

22.944

22.223

22.176

\({\widehat{\sigma }}_{e}\)

21.241

21.241

21.241

21.241

\(\widehat{\rho }\)

0.54

0.54

0.52

0.52

Risk perception

RII

16.53**

14.51**

12.41*

10.79*

(6.146,26.908)

(4.108,24.920)

(1.942,22.877)

(0.223,21.350)

Trend

(linear)

1.706

1.726

1.904

2.002

(-2.110,5.523)

(-2.089,5.542)

(-1.912,5.719)

(-1.814,5.819)

Trend (quadratic)

-0.322

-0.327

-0.367

-0.39

(-1.451,0.807)

(-1.456,0.802)

(-1.496,0.762)

(-1.519,0.739)

RII*Trend (linear)

0.366

0.388

0.259

0.127

(-5.688,6.420)

(-5.665,6.441)

(-5.793,6.311)

(-5.926,6.179)

RII*Trend (quadratic)

-0.251

-0.256

-0.23

-0.199

(-2.069,1.567)

(-2.074,1.562)

(-2.048,1.588)

(-2.016,1.619)

\({R}^{2}\)

0.009

0.018

0.028

0.0290

\({\widehat{\sigma }}_{u}\)

31.292

31.075

30.811

30.765

\({\widehat{\sigma }}_{e}\)

28.441

28.441

28.441

28.441

\(\widehat{\rho }\)

0.55

0.54

0.54

0.54

Perceived effectiveness

RII

-2.953

-3.226

-2.339

-3.793

(-11.274,5.368)

(-11.571,5.120)

(-10.733,6.054)

(-12.257,4.671)

Trend

(linear)

-0.778

-0.812

-0.797

-0.764

(-3.861,2.305)

(-3.895,2.271)

(-3.880,2.287)

(-3.848,2.319)

Trend (quadratic)

-0.197

-0.188

-0.191

-0.198

(-1.109,0.716)

(-1.100,0.725)

(-1.103,0.722)

(-1.111,0.714)

RII*Trend (linear)

1.414

1.45

1.448

1.421

(-3.477,6.306)

(-3.441,6.342)

(-3.444,6.339)

(-3.471,6.313)

RII*Trend (quadratic)

0.303

0.293

0.292

0.298

(-1.167,1.772)

(-1.176,1.763)

(-1.177,1.762)

(-1.172,1.767)

\({R}^{2}\)

0.001

0.002

0.010

0.011

\({\widehat{\sigma }}_{u}\)

23.487

23.466

23.326

23.311

\({\widehat{\sigma }}_{e}\)

23.018

23.018

23.018

23.018

\(\widehat{\rho }\)

0.51

0.51

0.51

0.51

Trust

RII

-4.287

-4.401

-0.288

-2.934

(-9.890,1.316)

(-10.011,1.209)

(-5.950,5.374)

(-8.686,2.818)

Trend

(linear)

-1.592

-1.637

-1.722

-1.695

(-3.515,0.331)

(-3.559,0.285)

(-3.645,0.200)

(-3.617,0.227)

Trend (quadratic)

0.104

0.116

0.137

0.131

(-0.464,0.672)

(-0.452,0.683)

(-0.431,0.705)

(-0.437,0.698)

RII*Trend (linear)

2.853

2.900

2.959

2.936

(-0.195,5.900)

(-0.147,5.946)

(-0.087,6.006)

(-0.110,5.982)

RII*Trend (quadratic)

-0.201

-0.214

-0.229

-0.224

(-1.115,0.713)

(-1.128,0.699)

(-1.143,0.685)

(-1.138,0.690)

\({R}^{2}\)

0.001

0.031

0.052

0.057

\({\widehat{\sigma }}_{u}\)

24.074

23.584

23.217

23.150

\({\widehat{\sigma }}_{e}\)

14.225

14.225

14.225

14.225

\(\widehat{\rho }\)

0.74

0.73

0.73

0.73

  1. M1: RII with linear and quadratic trend variable and an interaction between RII and the linear and quadratic trend variable. M2: M1 + the big five inventory. M3: M2 + sex, age, region, nationality, children under 16 in household, family status, and household size. M4: M3 + income class. \({\widehat{\sigma }}_{u}\): between-unit standard deviation. \({\widehat{\sigma }}_{e}\): within-unit standard deviation. \(\widehat{\rho }\): proportion of variance explained by between-unit differences
  2. *p < 0.05
  3. **p < 0.01
  4. ***p < 0.001