Correlation plot
(Spearman, multiply imputed dataset)
Regression models (multiply
imputed dataset)
Model fit
measures
Stepwise BIC Model: Fit Measures
|
est
|
lo 95
|
hi 95
|
fmi
|
R^2
|
0.221
|
0.205
|
0.238
|
0.046
|
Stepwise AIC Model: Fit Measures
|
est
|
lo 95
|
hi 95
|
fmi
|
R^2
|
0.229
|
0.212
|
0.246
|
0.074
|
Theory-derived Model 1: Fit Measures
|
est
|
lo 95
|
hi 95
|
fmi
|
R^2
|
0.066
|
0.055
|
0.077
|
0.04
|
Theory-derived Model 2: Fit Measures
|
est
|
lo 95
|
hi 95
|
fmi
|
R^2
|
0.122
|
0.108
|
0.136
|
0.063
|
Theory-derived Model 3: Fit Measures
|
est
|
lo 95
|
hi 95
|
fmi
|
R^2
|
0.13
|
0.116
|
0.144
|
0.042
|
Theory-derived Model 4: Fit Measures
|
est
|
lo 95
|
hi 95
|
fmi
|
R^2
|
0.235
|
0.219
|
0.252
|
0.063
|
Model
coefficients
Stepwise BIC Model: Coefficients
term
|
estimate
|
std.error
|
statistic
|
df
|
2.5 %
|
97.5 %
|
p.adjusted
|
q47_self_reporting_healthvery_bad
|
9.520
|
0.800
|
11.90
|
6077.1
|
7.952
|
11.088
|
0.000
|
q47_self_reporting_healthbad
|
6.406
|
0.321
|
19.95
|
528.9
|
5.775
|
7.037
|
0.000
|
(Intercept)
|
5.833
|
0.275
|
21.20
|
2625.3
|
5.294
|
6.373
|
0.000
|
q47_self_reporting_healthneutral
|
3.984
|
0.182
|
21.83
|
835.3
|
3.626
|
4.342
|
0.000
|
q01_genderother
|
3.516
|
2.505
|
1.40
|
18.2
|
-1.744
|
8.776
|
0.177
|
q36_econ_worryvery_serious
|
2.509
|
0.146
|
17.20
|
6592.5
|
2.223
|
2.795
|
0.000
|
q47_self_reporting_healthgood
|
1.618
|
0.146
|
11.06
|
1718.6
|
1.331
|
1.905
|
0.000
|
q01_genderfemale
|
1.504
|
0.133
|
11.32
|
7060.6
|
1.244
|
1.765
|
0.000
|
q49_health_limitationslimits
|
1.363
|
0.245
|
5.57
|
1744.0
|
0.884
|
1.843
|
0.000
|
q36_econ_worryserious
|
1.094
|
0.123
|
8.87
|
7645.1
|
0.852
|
1.335
|
0.000
|
q18_02_soc_mediayes
|
0.594
|
0.115
|
5.17
|
6732.1
|
0.369
|
0.820
|
0.000
|
q49_health_limitationspartially_limits
|
0.489
|
0.150
|
3.26
|
474.2
|
0.194
|
0.784
|
0.004
|
q04_childrenno
|
0.359
|
0.118
|
3.05
|
7011.0
|
0.128
|
0.591
|
0.005
|
q02_age
|
-0.089
|
0.004
|
-20.47
|
6983.2
|
-0.098
|
-0.081
|
0.000
|
Stepwise AIC Model: Coefficients
term
|
estimate
|
std.error
|
statistic
|
df
|
2.5 %
|
97.5 %
|
p.adjusted
|
q47_self_reporting_healthvery_bad
|
9.258
|
0.799
|
11.592
|
6881.6
|
7.692
|
10.824
|
0.000
|
q47_self_reporting_healthbad
|
6.374
|
0.324
|
19.694
|
769.1
|
5.739
|
7.010
|
0.000
|
(Intercept)
|
5.330
|
0.313
|
17.037
|
3529.7
|
4.716
|
5.943
|
0.000
|
q47_self_reporting_healthneutral
|
3.944
|
0.186
|
21.186
|
1010.4
|
3.579
|
4.310
|
0.000
|
q01_genderother
|
3.694
|
2.524
|
1.463
|
17.3
|
-1.624
|
9.012
|
0.968
|
q36_econ_worryvery_serious
|
2.406
|
0.147
|
16.356
|
6873.0
|
2.117
|
2.694
|
0.000
|
q47_self_reporting_healthgood
|
1.630
|
0.146
|
11.130
|
1858.4
|
1.342
|
1.917
|
0.000
|
q01_genderfemale
|
1.507
|
0.133
|
11.334
|
7497.2
|
1.246
|
1.767
|
0.000
|
q49_health_limitationslimits
|
1.293
|
0.251
|
5.160
|
980.8
|
0.801
|
1.784
|
0.000
|
q36_econ_worryserious
|
1.043
|
0.124
|
8.424
|
7645.1
|
0.800
|
1.286
|
0.000
|
q20_public_infono
|
0.804
|
0.122
|
6.591
|
188.8
|
0.564
|
1.045
|
0.000
|
q03_relationship_typedivorced
|
0.793
|
0.215
|
3.694
|
2429.1
|
0.372
|
1.214
|
0.002
|
q18_02_soc_mediayes
|
0.537
|
0.115
|
4.679
|
6621.5
|
0.312
|
0.762
|
0.000
|
q49_health_limitationspartially_limits
|
0.460
|
0.164
|
2.813
|
213.0
|
0.138
|
0.783
|
0.054
|
q03_relationship_typesingle
|
0.363
|
0.176
|
2.062
|
4568.4
|
0.018
|
0.708
|
0.314
|
q03_relationship_typewidowed
|
0.299
|
0.451
|
0.663
|
3339.6
|
-0.586
|
1.184
|
1.000
|
q38_alcoholyes
|
0.262
|
0.115
|
2.275
|
7079.4
|
0.036
|
0.487
|
0.207
|
q04_childrenno
|
0.255
|
0.136
|
1.869
|
5461.9
|
-0.012
|
0.522
|
0.432
|
q03_relationship_typerelationship
|
-0.196
|
0.151
|
-1.299
|
4175.5
|
-0.491
|
0.100
|
0.971
|
q40_smokingyes
|
0.132
|
0.133
|
0.996
|
1939.7
|
-0.128
|
0.393
|
1.000
|
q02_age
|
-0.089
|
0.005
|
-18.682
|
7459.7
|
-0.099
|
-0.080
|
0.000
|
q34_02_face_maskno
|
0.058
|
0.120
|
0.483
|
2544.1
|
-0.177
|
0.293
|
1.000
|
q48_chronic_illnessyes
|
0.030
|
0.139
|
0.215
|
1468.9
|
-0.243
|
0.303
|
1.000
|
Theory-derived Model 1: Coefficients
term
|
estimate
|
std.error
|
statistic
|
df
|
2.5 %
|
97.5 %
|
p.adjusted
|
(Intercept)
|
7.965
|
0.309
|
25.748
|
1418.5
|
7.359
|
8.572
|
0.000
|
q01_genderother
|
5.529
|
2.626
|
2.105
|
22.4
|
0.089
|
10.969
|
0.233
|
q01_genderfemale
|
1.867
|
0.148
|
12.610
|
3266.7
|
1.577
|
2.157
|
0.000
|
q03_relationship_typedivorced
|
1.060
|
0.234
|
4.536
|
3779.2
|
0.602
|
1.518
|
0.000
|
q03_relationship_typewidowed
|
0.802
|
0.497
|
1.614
|
3104.5
|
-0.172
|
1.777
|
0.426
|
q03_relationship_typesingle
|
0.707
|
0.191
|
3.696
|
7606.9
|
0.332
|
1.083
|
0.002
|
q11_educationlow
|
0.615
|
0.190
|
3.240
|
66.1
|
0.236
|
0.995
|
0.011
|
q11_educationmedium
|
0.236
|
0.162
|
1.459
|
48.2
|
-0.089
|
0.562
|
0.426
|
q04_childrenno
|
0.226
|
0.149
|
1.521
|
7171.7
|
-0.065
|
0.517
|
0.426
|
q03_relationship_typerelationship
|
0.107
|
0.163
|
0.652
|
6666.1
|
-0.214
|
0.427
|
0.514
|
q02_age
|
-0.074
|
0.005
|
-14.459
|
6753.5
|
-0.084
|
-0.064
|
0.000
|
Theory-derived Model 2: Coefficients
term
|
estimate
|
std.error
|
statistic
|
df
|
2.5 %
|
97.5 %
|
p.adjusted
|
(Intercept)
|
6.171
|
0.323
|
19.121
|
981.4
|
5.537
|
6.804
|
0.000
|
q01_genderother
|
5.280
|
2.613
|
2.020
|
19.7
|
-0.176
|
10.736
|
0.343
|
q36_econ_worryvery_serious
|
2.849
|
0.159
|
17.970
|
4645.4
|
2.538
|
3.160
|
0.000
|
q01_genderfemale
|
1.660
|
0.144
|
11.533
|
4963.3
|
1.378
|
1.942
|
0.000
|
q36_econ_worryserious
|
1.370
|
0.133
|
10.324
|
5868.8
|
1.110
|
1.630
|
0.000
|
q20_public_infono
|
1.082
|
0.134
|
8.048
|
98.2
|
0.815
|
1.348
|
0.000
|
q34_07_hand_washingno
|
-0.878
|
0.341
|
-2.571
|
3648.8
|
-1.547
|
-0.208
|
0.082
|
q03_relationship_typedivorced
|
0.818
|
0.228
|
3.592
|
3042.7
|
0.371
|
1.264
|
0.003
|
q18_02_soc_mediayes
|
0.696
|
0.122
|
5.696
|
7844.1
|
0.456
|
0.935
|
0.000
|
q03_relationship_typesingle
|
0.609
|
0.186
|
3.271
|
7153.0
|
0.244
|
0.974
|
0.010
|
q03_relationship_typewidowed
|
0.490
|
0.482
|
1.016
|
3168.1
|
-0.456
|
1.436
|
1.000
|
q04_childrenno
|
0.347
|
0.145
|
2.400
|
6287.9
|
0.064
|
0.630
|
0.115
|
q11_educationlow
|
0.230
|
0.184
|
1.250
|
97.2
|
-0.135
|
0.596
|
1.000
|
q34_02_face_maskno
|
0.135
|
0.128
|
1.055
|
6230.8
|
-0.116
|
0.386
|
1.000
|
q11_educationmedium
|
-0.132
|
0.165
|
-0.801
|
38.5
|
-0.466
|
0.201
|
1.000
|
q02_age
|
-0.066
|
0.005
|
-13.192
|
7288.3
|
-0.076
|
-0.056
|
0.000
|
q03_relationship_typerelationship
|
-0.055
|
0.160
|
-0.346
|
4857.0
|
-0.368
|
0.258
|
1.000
|
Theory-derived Model 3: Coefficients
term
|
estimate
|
std.error
|
statistic
|
df
|
2.5 %
|
97.5 %
|
p.adjusted
|
(Intercept)
|
7.118
|
0.741
|
9.612
|
4577.2
|
5.666
|
8.569
|
0.000
|
q01_genderother
|
4.858
|
2.626
|
1.850
|
18.9
|
-0.639
|
10.355
|
0.799
|
q36_econ_worryvery_serious
|
2.730
|
0.159
|
17.208
|
5489.7
|
2.419
|
3.041
|
0.000
|
q01_genderfemale
|
1.612
|
0.145
|
11.156
|
4683.9
|
1.329
|
1.895
|
0.000
|
q36_econ_worryserious
|
1.305
|
0.132
|
9.855
|
6164.9
|
1.045
|
1.564
|
0.000
|
q35_03_contact_friendsas_before
|
-1.091
|
0.698
|
-1.564
|
7540.7
|
-2.459
|
0.276
|
1.000
|
q20_public_infono
|
1.069
|
0.135
|
7.933
|
90.8
|
0.801
|
1.336
|
0.000
|
q35_01_contact_close_familyas_before
|
-0.943
|
0.188
|
-5.027
|
3120.8
|
-1.311
|
-0.575
|
0.000
|
q03_relationship_typedivorced
|
0.755
|
0.230
|
3.285
|
1815.9
|
0.304
|
1.206
|
0.016
|
q34_07_hand_washingno
|
-0.740
|
0.343
|
-2.159
|
3781.2
|
-1.412
|
-0.068
|
0.341
|
q18_02_soc_mediayes
|
0.698
|
0.122
|
5.728
|
7748.6
|
0.459
|
0.937
|
0.000
|
q03_relationship_typesingle
|
0.601
|
0.187
|
3.222
|
6953.9
|
0.235
|
0.966
|
0.018
|
q35_03_contact_friendsless_often
|
-0.562
|
0.649
|
-0.866
|
7922.2
|
-1.835
|
0.711
|
1.000
|
q42_sportno
|
0.469
|
0.120
|
3.899
|
1294.3
|
0.233
|
0.704
|
0.002
|
q03_relationship_typewidowed
|
0.425
|
0.479
|
0.887
|
4533.9
|
-0.514
|
1.364
|
1.000
|
q04_childrenno
|
0.330
|
0.145
|
2.274
|
5777.1
|
0.046
|
0.615
|
0.299
|
q40_smokingyes
|
0.312
|
0.142
|
2.193
|
1998.3
|
0.033
|
0.591
|
0.341
|
q35_01_contact_close_familyless_often
|
-0.211
|
0.194
|
-1.087
|
1396.1
|
-0.592
|
0.170
|
1.000
|
q11_educationmedium
|
-0.177
|
0.169
|
-1.047
|
35.0
|
-0.519
|
0.166
|
1.000
|
q34_02_face_maskno
|
0.170
|
0.129
|
1.322
|
5802.3
|
-0.082
|
0.423
|
1.000
|
q11_educationlow
|
0.165
|
0.188
|
0.879
|
81.9
|
-0.209
|
0.540
|
1.000
|
q03_relationship_typerelationship
|
-0.074
|
0.160
|
-0.464
|
5855.5
|
-0.387
|
0.239
|
1.000
|
q02_age
|
-0.066
|
0.005
|
-13.030
|
6774.9
|
-0.076
|
-0.056
|
0.000
|
q38_alcoholyes
|
-0.052
|
0.123
|
-0.426
|
7548.6
|
-0.293
|
0.188
|
1.000
|
Theory-derived Model 4: Coefficients
term
|
estimate
|
std.error
|
statistic
|
df
|
2.5 %
|
97.5 %
|
p.adjusted
|
q47_self_reporting_healthvery_bad
|
9.292
|
0.797
|
11.653
|
6688.6
|
7.729
|
10.855
|
0.000
|
(Intercept)
|
6.584
|
0.702
|
9.375
|
3958.8
|
5.207
|
7.961
|
0.000
|
q47_self_reporting_healthbad
|
6.390
|
0.324
|
19.747
|
819.2
|
5.755
|
7.026
|
0.000
|
q47_self_reporting_healthneutral
|
3.916
|
0.187
|
20.959
|
1178.2
|
3.550
|
4.283
|
0.000
|
q01_genderother
|
3.313
|
2.515
|
1.317
|
17.4
|
-1.984
|
8.610
|
1.000
|
q36_econ_worryvery_serious
|
2.346
|
0.150
|
15.651
|
4005.2
|
2.052
|
2.640
|
0.000
|
q47_self_reporting_healthgood
|
1.603
|
0.147
|
10.911
|
1617.2
|
1.315
|
1.891
|
0.000
|
q01_genderfemale
|
1.432
|
0.136
|
10.533
|
3906.7
|
1.166
|
1.699
|
0.000
|
q49_health_limitationslimits
|
1.252
|
0.251
|
4.988
|
788.5
|
0.759
|
1.745
|
0.000
|
q35_03_contact_friendsas_before
|
-1.118
|
0.656
|
-1.706
|
7173.6
|
-2.404
|
0.167
|
1.000
|
q36_econ_worryserious
|
1.013
|
0.125
|
8.137
|
6551.2
|
0.769
|
1.257
|
0.000
|
q20_public_infono
|
0.804
|
0.123
|
6.527
|
148.8
|
0.561
|
1.048
|
0.000
|
q35_01_contact_close_familyas_before
|
-0.779
|
0.176
|
-4.420
|
2913.7
|
-1.124
|
-0.433
|
0.000
|
q03_relationship_typedivorced
|
0.745
|
0.216
|
3.455
|
1820.0
|
0.322
|
1.168
|
0.010
|
q34_07_hand_washingno
|
-0.730
|
0.325
|
-2.245
|
1672.0
|
-1.368
|
-0.092
|
0.399
|
q35_03_contact_friendsless_often
|
-0.576
|
0.610
|
-0.945
|
7904.9
|
-1.771
|
0.619
|
1.000
|
q18_02_soc_mediayes
|
0.563
|
0.114
|
4.915
|
7584.7
|
0.338
|
0.787
|
0.000
|
q49_health_limitationspartially_limits
|
0.461
|
0.163
|
2.827
|
213.7
|
0.140
|
0.783
|
0.087
|
q03_relationship_typesingle
|
0.369
|
0.176
|
2.100
|
5278.1
|
0.025
|
0.714
|
0.537
|
q03_relationship_typewidowed
|
0.274
|
0.452
|
0.606
|
3131.7
|
-0.612
|
1.159
|
1.000
|
q38_alcoholyes
|
0.210
|
0.116
|
1.817
|
6381.4
|
-0.017
|
0.437
|
0.970
|
q04_childrenno
|
0.197
|
0.137
|
1.435
|
4759.9
|
-0.072
|
0.465
|
1.000
|
q40_smokingyes
|
0.178
|
0.134
|
1.334
|
1870.3
|
-0.084
|
0.441
|
1.000
|
q03_relationship_typerelationship
|
-0.166
|
0.150
|
-1.107
|
5479.9
|
-0.460
|
0.128
|
1.000
|
q11_educationlow
|
0.157
|
0.174
|
0.905
|
108.1
|
-0.187
|
0.502
|
1.000
|
q11_educationmedium
|
-0.157
|
0.156
|
-1.005
|
38.7
|
-0.474
|
0.159
|
1.000
|
q34_02_face_maskno
|
0.124
|
0.122
|
1.017
|
5209.9
|
-0.115
|
0.362
|
1.000
|
q02_age
|
-0.091
|
0.005
|
-18.659
|
5383.3
|
-0.101
|
-0.082
|
0.000
|
q35_01_contact_close_familyless_often
|
-0.082
|
0.182
|
-0.452
|
1536.6
|
-0.440
|
0.275
|
1.000
|
q42_sportno
|
-0.044
|
0.114
|
-0.382
|
1059.5
|
-0.268
|
0.181
|
1.000
|
q48_chronic_illnessyes
|
0.035
|
0.139
|
0.251
|
1419.8
|
-0.238
|
0.307
|
1.000
|
Omnibus ANOVA
test
Stepwise BIC Model: ANOVA test
|
SSQ
|
df1
|
df2
|
F value
|
Pr(>F)
|
eta2
|
partial.eta2
|
q02_age
|
9503
|
1
|
22089
|
404.8
|
0
|
0.040
|
0.049
|
q47_self_reporting_health
|
25875
|
4
|
673
|
265.0
|
0
|
0.109
|
0.123
|
q36_econ_worry
|
10486
|
2
|
8171
|
222.3
|
0
|
0.044
|
0.054
|
q01_gender
|
4246
|
2
|
4005
|
89.3
|
0
|
0.018
|
0.022
|
q18_02_soc_media
|
1072
|
1
|
91553
|
46.0
|
0
|
0.005
|
0.006
|
q49_health_limitations
|
869
|
2
|
818
|
17.6
|
0
|
0.004
|
0.005
|
q04_children
|
377
|
1
|
103489
|
16.1
|
0
|
0.002
|
0.002
|
Residual
|
184759
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
Stepwise AIC Model: ANOVA test
|
SSQ
|
df1
|
df2
|
F value
|
Pr(>F)
|
eta2
|
partial.eta2
|
q02_age
|
9503.34
|
1
|
18588
|
408.006
|
0.000
|
0.040
|
0.049
|
q47_self_reporting_health
|
25874.63
|
4
|
604
|
266.660
|
0.000
|
0.109
|
0.124
|
q36_econ_worry
|
10486.26
|
2
|
6967
|
223.990
|
0.000
|
0.044
|
0.054
|
q01_gender
|
4246.21
|
2
|
3533
|
89.943
|
0.000
|
0.018
|
0.023
|
q18_02_soc_media
|
1071.97
|
1
|
82074
|
46.374
|
0.000
|
0.005
|
0.006
|
q20_public_info
|
1143.97
|
1
|
217
|
42.881
|
0.000
|
0.005
|
0.006
|
q49_health_limitations
|
868.79
|
2
|
785
|
17.745
|
0.000
|
0.004
|
0.005
|
q04_children
|
376.57
|
1
|
99272
|
16.295
|
0.000
|
0.002
|
0.002
|
q03_relationship_type
|
589.98
|
4
|
2198
|
6.204
|
0.000
|
0.002
|
0.003
|
q38_alcohol
|
128.50
|
1
|
95452
|
5.553
|
0.018
|
0.001
|
0.001
|
q40_smoking
|
24.16
|
1
|
2709
|
0.954
|
0.329
|
0.000
|
0.000
|
q34_02_face_mask
|
12.64
|
1
|
5292
|
0.494
|
0.482
|
0.000
|
0.000
|
q48_chronic_illness
|
1.86
|
1
|
2205
|
0.014
|
0.907
|
0.000
|
0.000
|
Residual
|
182858.38
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
Theory-derived Model 1: ANOVA test
|
SSQ
|
df1
|
df2
|
F value
|
Pr(>F)
|
eta2
|
partial.eta2
|
q02_age
|
9503.3
|
1
|
45006.4
|
338.97
|
0.000
|
0.040
|
0.041
|
q01_gender
|
4246.2
|
2
|
6408.9
|
74.87
|
0.000
|
0.018
|
0.019
|
q03_relationship_type
|
1357.1
|
4
|
12247.6
|
12.05
|
0.000
|
0.006
|
0.006
|
q11_education
|
405.7
|
2
|
37.4
|
4.96
|
0.012
|
0.002
|
0.002
|
q04_children
|
68.5
|
1
|
79553.6
|
2.44
|
0.118
|
0.000
|
0.000
|
Residual
|
221606.4
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
Theory-derived Model 2: ANOVA test
|
SSQ
|
df1
|
df2
|
F value
|
Pr(>F)
|
eta2
|
partial.eta2
|
q02_age
|
9503.3
|
1
|
32039.5
|
359.642
|
0.000
|
0.040
|
0.044
|
q36_econ_worry
|
8744.3
|
2
|
5605.8
|
163.676
|
0.000
|
0.037
|
0.040
|
q20_public_info
|
3052.3
|
1
|
82.7
|
90.791
|
0.000
|
0.013
|
0.014
|
q01_gender
|
4246.2
|
2
|
5015.8
|
79.359
|
0.000
|
0.018
|
0.020
|
q18_02_soc_media
|
1320.2
|
1
|
310479.1
|
50.343
|
0.000
|
0.006
|
0.006
|
q03_relationship_type
|
1357.1
|
4
|
10390.1
|
12.798
|
0.000
|
0.006
|
0.006
|
q11_education
|
405.7
|
2
|
34.1
|
5.185
|
0.011
|
0.002
|
0.002
|
q34_07_hand_washing
|
127.1
|
1
|
5381.5
|
4.693
|
0.030
|
0.001
|
0.001
|
q04_children
|
68.5
|
1
|
69446.8
|
2.589
|
0.108
|
0.000
|
0.000
|
q34_02_face_mask
|
20.7
|
1
|
24915.7
|
0.762
|
0.383
|
0.000
|
0.000
|
Residual
|
208341.7
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
Theory-derived Model 3: ANOVA test
|
SSQ
|
df1
|
df2
|
F value
|
Pr(>F)
|
eta2
|
partial.eta2
|
q02_age
|
9503.34
|
1
|
33083.1
|
362.774
|
0.000
|
0.040
|
0.044
|
q36_econ_worry
|
8744.33
|
2
|
5254.8
|
164.950
|
0.000
|
0.037
|
0.041
|
q20_public_info
|
3052.33
|
1
|
82.5
|
91.536
|
0.000
|
0.013
|
0.015
|
q01_gender
|
4246.21
|
2
|
5220.0
|
80.073
|
0.000
|
0.018
|
0.020
|
q18_02_soc_media
|
1320.21
|
1
|
293131.9
|
50.767
|
0.000
|
0.006
|
0.006
|
q35_01_contact_close_family
|
1289.09
|
2
|
3340.6
|
24.138
|
0.000
|
0.005
|
0.006
|
q42_sport
|
381.22
|
1
|
1278.0
|
13.810
|
0.000
|
0.002
|
0.002
|
q03_relationship_type
|
1357.12
|
4
|
10274.1
|
12.906
|
0.000
|
0.006
|
0.007
|
q40_smoking
|
153.29
|
1
|
2735.9
|
5.634
|
0.018
|
0.001
|
0.001
|
q11_education
|
405.70
|
2
|
33.7
|
5.220
|
0.011
|
0.002
|
0.002
|
q34_07_hand_washing
|
127.14
|
1
|
5271.2
|
4.731
|
0.030
|
0.001
|
0.001
|
q04_children
|
68.47
|
1
|
69066.8
|
2.611
|
0.106
|
0.000
|
0.000
|
q35_03_contact_friends
|
118.51
|
2
|
1852.4
|
2.145
|
0.117
|
0.000
|
0.001
|
q34_02_face_mask
|
20.67
|
1
|
24398.6
|
0.768
|
0.381
|
0.000
|
0.000
|
q38_alcohol
|
0.45
|
1
|
122256.2
|
0.009
|
0.926
|
0.000
|
0.000
|
Residual
|
206399.15
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
Theory-derived Model 4: ANOVA test
|
SSQ
|
df1
|
df2
|
F value
|
Pr(>F)
|
eta2
|
partial.eta2
|
q02_age
|
9503.34
|
1
|
19079.2
|
410.962
|
0.000
|
0.040
|
0.050
|
q47_self_reporting_health
|
24247.04
|
4
|
1293.9
|
256.189
|
0.000
|
0.102
|
0.118
|
q36_econ_worry
|
8744.33
|
2
|
4604.9
|
187.230
|
0.000
|
0.037
|
0.046
|
q20_public_info
|
3052.33
|
1
|
66.0
|
100.597
|
0.000
|
0.013
|
0.017
|
q01_gender
|
4246.21
|
2
|
3783.7
|
90.664
|
0.000
|
0.018
|
0.023
|
q18_02_soc_media
|
1320.21
|
1
|
211780.2
|
57.676
|
0.000
|
0.006
|
0.007
|
q35_01_contact_close_family
|
1289.09
|
2
|
2545.1
|
27.325
|
0.000
|
0.005
|
0.007
|
q42_sport
|
381.22
|
1
|
1013.5
|
15.585
|
0.000
|
0.002
|
0.002
|
q03_relationship_type
|
1357.12
|
4
|
6950.9
|
14.629
|
0.000
|
0.006
|
0.007
|
q49_health_limitations
|
679.95
|
2
|
323.0
|
13.435
|
0.000
|
0.003
|
0.004
|
q40_smoking
|
153.29
|
1
|
2164.7
|
6.373
|
0.012
|
0.001
|
0.001
|
q11_education
|
405.70
|
2
|
28.1
|
5.713
|
0.008
|
0.002
|
0.002
|
q34_07_hand_washing
|
127.14
|
1
|
4039.7
|
5.357
|
0.021
|
0.001
|
0.001
|
q48_chronic_illness
|
76.45
|
1
|
95853.1
|
3.323
|
0.068
|
0.000
|
0.000
|
q04_children
|
68.47
|
1
|
54036.4
|
2.966
|
0.085
|
0.000
|
0.000
|
q35_03_contact_friends
|
118.51
|
2
|
1466.8
|
2.426
|
0.089
|
0.000
|
0.001
|
q34_02_face_mask
|
20.67
|
1
|
18810.9
|
0.872
|
0.350
|
0.000
|
0.000
|
q38_alcohol
|
0.45
|
1
|
95005.8
|
0.010
|
0.921
|
0.000
|
0.000
|
Residual
|
181395.71
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
---
title: "Predictors of Depression During the Covid-19 Pandemic" 
subtitle: "Multiple Regression"
author: "Sarka Tesarova, Ondrej Pekacek, Alessandro Porrovecchio"
date: "Last edited `r format (Sys.time(),'%d. %m. %Y')`"
output:
  html_document: 
    toc: yes
    toc_depth: 2
    toc_float: true
    number_sections: true
    theme: readable
    code_folding: hide
    code_download: true
    includes:
      in_header: docs/header.html
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = FALSE)
```

```{r loading packages and dataset, message=FALSE, include=FALSE}
# The following packages might need to be installed onto your version 
# of R prior to the running of the code below.

# Package names
packages <- c("corrplot", "dplyr", "mice", "car", "miceadds", "kableExtra")

# Install packages not yet installed
installed_packages <- packages %in% rownames(installed.packages())
if (any(installed_packages == FALSE)) {
  install.packages(packages[!installed_packages])
}

# Packages loading
invisible(lapply(packages, library, character.only = TRUE))

imputed_df <- readRDS("data/imputed_dataset.rds")
imputed_df_corr <- readRDS("data/imputed_dataset_corr.rds")

# We also try to limit the decimals to three significant figures
options(digits = 3, scipen = 999)

```

# Correlation plot (Spearman, multiply imputed dataset)

```{r echo=FALSE, fig.height=9, fig.width=9}
mi_corr <- micombine.cor(imputed_df_corr, 
              method = "spearman", 
              conf.level = 0.95)

# Add significance matrix
corrplot(attr(mi_corr,"r_matrix"), 
         method = "circle", 
             type = "lower", 
             # p.mat = res1$p, 
             # sig.level = .05, 
             mar = c(0,0,1,0))

```


# Regression models (multiply imputed dataset) {.tabset .tabset-pills}

```{r include=FALSE}
# outcome <- "PHQ8"
# predictors <- c("q01_gender", "q02_age", "q04_children", "q36_econ_worry", "q18_02_soc_media", "q47_self_reporting_health", "q49_health_limitations")
# 
# formula_bic <- as.formula(
#   paste(outcome,
#     paste(predictors, collapse = " + "),
#     sep = " ~ "
#   )
# )

# test_lm <- lm(formula_bic, mice::complete(imputed_df))
# test <- imputed_df %>% 
#    mice::complete("all") %>%
#   lapply(lm, formula = PHQ8 ~ q01_gender + q02_age + q04_children + q36_econ_worry + 
#     q18_02_soc_media + q47_self_reporting_health + q49_health_limitations) %>%
#   lapply(Anova) 
# car::durbinWatsonTest(stepwise_BIC_fit)
# car::vif(test_lm)
# car::Anova(test_lm, p.adjust.method = TRUE)
# 

# test_jmv <- jmv::linReg(
#     data = data_subset,
#     dep = "PHQ8",
#     covs = "q02_age",
#     factors = vars("q01_gender"),
#      blocks = list(
#         list(
#             "q01_gender",
#             "q02_age")),
#     refLevels = list(
#         list(
#             var = "q01_gender",
#             ref = "female")),
#     r2Adj = TRUE,
#     aic = TRUE,
#     bic = TRUE,
#     rmse = TRUE,
#     modelTest = TRUE,
#     anova = TRUE,
#     ci = TRUE,
#     stdEst = TRUE,
#     ciStdEst = TRUE,
#     durbin = TRUE,
#     collin = TRUE)

# Testing model chosen based by stepwise algorithm on its BIC score
stepwise_BIC_fit <- with(imputed_df, lm(PHQ8 ~ q01_gender +
  q02_age +
  q04_children +
  q36_econ_worry +
  q18_02_soc_media +
  q47_self_reporting_health +
  q49_health_limitations)) %>%
  pool()

stepwise_BIC_anova <- mi.anova(imputed_df, "PHQ8 ~ q01_gender +
  q02_age +
  q04_children +
  q36_econ_worry +
  q18_02_soc_media +
  q47_self_reporting_health +
  q49_health_limitations")

# Testing model chosen based by stepwise algoritm on its AIC score
stepwise_AIC_fit <- with(imputed_df, lm(PHQ8 ~ q01_gender +
  q02_age +
  q04_children +
  q36_econ_worry +
  q18_02_soc_media +
  q47_self_reporting_health +
  q49_health_limitations +
  q03_relationship_type +
  q20_public_info +
  q34_02_face_mask +
  q38_alcohol +
  q40_smoking +
  q48_chronic_illness)) %>%
  pool()

stepwise_AIC_anova <- mi.anova(imputed_df, "PHQ8 ~ q01_gender +
  q02_age +
  q04_children +
  q36_econ_worry +
  q18_02_soc_media +
  q47_self_reporting_health +
  q49_health_limitations +
  q03_relationship_type +
  q20_public_info +
  q34_02_face_mask +
  q38_alcohol +
  q40_smoking +
  q48_chronic_illness")


BIC_summ <- summary(stepwise_BIC_fit, conf.int = TRUE) %>%
  mutate(p.adjusted = round(p.adjust(p.value, method = "holm"), 3)) %>%
  select(-p.value) %>% 
  arrange(desc(abs(estimate)))

AIC_summ <- summary(stepwise_AIC_fit, conf.int = TRUE) %>%
  mutate(p.adjusted = round(p.adjust(p.value, method = "holm"), 3)) %>%
  select(-p.value) %>% 
  arrange(desc(abs(estimate)))

BIC_summ_anv <- stepwise_BIC_anova$anova.table %>% arrange(desc(`F value`))
AIC_summ_anv <- stepwise_AIC_anova$anova.table %>% arrange(desc(`F value`))


```

```{r include=FALSE}
th_1_fit <- with(imputed_df, lm(PHQ8 ~ q01_gender +
  q02_age +
  q03_relationship_type +  
  q04_children +
  q11_education)) %>%
  pool()

th_2_fit <- with(imputed_df, lm(PHQ8 ~ q01_gender +
  q02_age +
  q03_relationship_type +  
  q04_children +
  q11_education +
  q18_02_soc_media +
  q20_public_info +
  q34_02_face_mask +
  q34_07_hand_washing +
  q36_econ_worry)) %>%
  pool()

th_3_fit <- with(imputed_df, lm(PHQ8 ~ q01_gender +
  q02_age +
  q03_relationship_type +  
  q04_children +
  q11_education +
  q18_02_soc_media +
  q20_public_info +
  q34_02_face_mask +
  q34_07_hand_washing +
  q36_econ_worry +
  q40_smoking +
  q42_sport +
  q38_alcohol +
  q35_01_contact_close_family +
  q35_03_contact_friends)) %>%
  pool()

th_4_fit <- with(imputed_df, lm(PHQ8 ~ q01_gender +
  q02_age +
  q03_relationship_type +  
  q04_children +
  q11_education +
  q18_02_soc_media +
  q20_public_info +
  q34_02_face_mask +
  q34_07_hand_washing +
  q36_econ_worry +
  q40_smoking +
  q42_sport +
  q38_alcohol +
  q35_01_contact_close_family +
  q35_03_contact_friends + 
  q47_self_reporting_health +
  q48_chronic_illness +
  q49_health_limitations)) %>%
  pool()

th_1_anv <- mi.anova(imputed_df, "PHQ8 ~ q01_gender +
  q02_age +
  q03_relationship_type +  
  q04_children +
  q11_education")

th_2_anv <- mi.anova(imputed_df, "PHQ8 ~ q01_gender +
  q02_age +
  q03_relationship_type +  
  q04_children +
  q11_education +
  q18_02_soc_media +
  q20_public_info +
  q34_02_face_mask +
  q34_07_hand_washing +
  q36_econ_worry")

th_3_anv <- mi.anova(imputed_df, "PHQ8 ~ q01_gender +
  q02_age +
  q03_relationship_type +  
  q04_children +
  q11_education +
  q18_02_soc_media +
  q20_public_info +
  q34_02_face_mask +
  q34_07_hand_washing +
  q36_econ_worry +
  q40_smoking +
  q42_sport +
  q38_alcohol +
  q35_01_contact_close_family +
  q35_03_contact_friends")

th_4_anv <- mi.anova(imputed_df, "PHQ8 ~ q01_gender +
  q02_age +
  q03_relationship_type +  
  q04_children +
  q11_education +
  q18_02_soc_media +
  q20_public_info +
  q34_02_face_mask +
  q34_07_hand_washing +
  q36_econ_worry +
  q40_smoking +
  q42_sport +
  q38_alcohol +
  q35_01_contact_close_family +
  q35_03_contact_friends + 
  q47_self_reporting_health +
  q48_chronic_illness +
  q49_health_limitations")

th_1_summ <- summary(th_1_fit, conf.int = TRUE) %>%
  mutate(p.adjusted = round(p.adjust(p.value, method = "holm"), 3)) %>%
  select(-p.value) %>% 
  arrange(desc(abs(estimate)))

th_2_summ <- summary(th_2_fit, conf.int = TRUE) %>%
  mutate(p.adjusted = round(p.adjust(p.value, method = "holm"), 3)) %>%
  select(-p.value) %>% 
  arrange(desc(abs(estimate)))

th_3_summ <- summary(th_3_fit, conf.int = TRUE) %>%
  mutate(p.adjusted = round(p.adjust(p.value, method = "holm"), 3)) %>%
  select(-p.value) %>% 
  arrange(desc(abs(estimate)))

th_4_summ <- summary(th_4_fit, conf.int = TRUE) %>%
  mutate(p.adjusted = round(p.adjust(p.value, method = "holm"), 3)) %>%
  select(-p.value) %>% 
  arrange(desc(abs(estimate)))

th_1_summ_anv <- th_1_anv$anova.table %>% arrange(desc(`F value`))
th_2_summ_anv <- th_2_anv$anova.table %>% arrange(desc(`F value`))
th_3_summ_anv <- th_3_anv$anova.table %>% arrange(desc(`F value`))
th_4_summ_anv <- th_4_anv$anova.table %>% arrange(desc(`F value`))

```

## Model fit measures

```{r} 
kbl(pool.r.squared(stepwise_BIC_fit), caption = "Stepwise BIC Model: Fit Measures") %>%
kable_classic(full_width = FALSE, lightable_options = c("striped"))

kbl(pool.r.squared(stepwise_AIC_fit), caption = "Stepwise AIC Model: Fit Measures") %>%
kable_classic(full_width = FALSE, lightable_options = c("striped"))

kbl(pool.r.squared(th_1_fit), caption = "Theory-derived Model 1: Fit Measures") %>%
kable_classic(full_width = FALSE, lightable_options = c("striped"))

kbl(pool.r.squared(th_2_fit), caption = "Theory-derived Model 2: Fit Measures") %>%
kable_classic(full_width = FALSE, lightable_options = c("striped"))

kbl(pool.r.squared(th_3_fit), caption = "Theory-derived Model 3: Fit Measures") %>%
kable_classic(full_width = FALSE, lightable_options = c("striped"))

kbl(pool.r.squared(th_4_fit), caption = "Theory-derived Model 4: Fit Measures") %>%
kable_classic(full_width = FALSE, lightable_options = c("striped"))

```

## Model coefficients

```{r}
kbl(BIC_summ, caption = "Stepwise BIC Model: Coefficients") %>%
kable_classic(full_width = FALSE, lightable_options = c("striped")) %>%
                    row_spec(row = which(BIC_summ$p.adjusted < 0.05), bold = TRUE)

kbl(AIC_summ, caption = "Stepwise AIC Model: Coefficients") %>%
kable_classic(full_width = FALSE, lightable_options = c("striped")) %>%
                    row_spec(row = which(AIC_summ$p.adjusted < 0.05), bold = TRUE)

kbl(th_1_summ, caption = "Theory-derived Model 1: Coefficients") %>%
kable_classic(full_width = FALSE, lightable_options = c("striped")) %>%
                    row_spec(row = which(th_1_summ$p.adjusted < 0.05), bold = TRUE)

kbl(th_2_summ, caption = "Theory-derived Model 2: Coefficients") %>%
kable_classic(full_width = FALSE, lightable_options = c("striped")) %>%
                    row_spec(row = which(th_2_summ$p.adjusted < 0.05), bold = TRUE)

kbl(th_3_summ, caption = "Theory-derived Model 3: Coefficients") %>%
kable_classic(full_width = FALSE, lightable_options = c("striped")) %>%
                    row_spec(row = which(th_3_summ$p.adjusted < 0.05), bold = TRUE)

kbl(th_4_summ, caption = "Theory-derived Model 4: Coefficients") %>%
kable_classic(full_width = FALSE, lightable_options = c("striped")) %>%
                    row_spec(row = which(th_4_summ$p.adjusted < 0.05), bold = TRUE)

```

## Omnibus ANOVA test

```{r}
kbl(BIC_summ_anv, caption = "Stepwise BIC Model: ANOVA test") %>%
kable_classic(full_width = FALSE, lightable_options = c("striped")) %>%
                    row_spec(row = which(BIC_summ_anv$`Pr(>F)` < 0.05), bold = TRUE)

kbl(AIC_summ_anv, caption = "Stepwise AIC Model: ANOVA test") %>%
kable_classic(full_width = FALSE, lightable_options = c("striped")) %>%
                    row_spec(row = which(AIC_summ_anv$`Pr(>F)` < 0.05), bold = TRUE)

kbl(th_1_summ_anv, caption = "Theory-derived Model 1: ANOVA test") %>%
kable_classic(full_width = FALSE, lightable_options = c("striped")) %>%
                    row_spec(row = which(th_1_summ_anv$`Pr(>F)` < 0.05), bold = TRUE)

kbl(th_2_summ_anv, caption = "Theory-derived Model 2: ANOVA test") %>%
kable_classic(full_width = FALSE, lightable_options = c("striped")) %>%
                    row_spec(row = which(th_2_summ_anv$`Pr(>F)` < 0.05), bold = TRUE)

kbl(th_3_summ_anv, caption = "Theory-derived Model 3: ANOVA test") %>%
kable_classic(full_width = FALSE, lightable_options = c("striped")) %>%
                    row_spec(row = which(th_3_summ_anv$`Pr(>F)` < 0.05), bold = TRUE)

kbl(th_4_summ_anv, caption = "Theory-derived Model 4: ANOVA test") %>%
kable_classic(full_width = FALSE, lightable_options = c("striped")) %>%
                    row_spec(row = which(th_4_summ_anv$`Pr(>F)` < 0.05), bold = TRUE)

```


```{r eval=FALSE, include=FALSE}
# ggplot(complete(imputed_df), aes(q02_age, PHQ8, color = q11_education)) + geom_point(position = "jitter", alpha = 0.2) + geom_smooth()
# 
# # + geom_parallel_slopes(se = TRUE)
```

