Moving Week (August)

Negative Variable Graphs

Positive Variable Graphs

Feeling Down Descriptives

Descriptive	Move	D1	D2	D3	D4	D5	D6	D7
Child_mean	1.44	1.4	1.45	1.71	1.67	1.62	2.11	1.73
Mom_mean	1.38	1.3	1.58	1.54	1.4	1.73	1.47	1.83
Dad_mean	1.25	1.1	1.33	1.18	1.33	1.5	1.27	1.15
Child_n	9	10	11	7	12	13	9	11
Mom_n	8	10	12	13	15	15	15	12
Dad_n	8	10	9	11	12	12	11	13
Child_sd	0.73	0.7	0.69	0.76	0.89	0.77	1.27	0.65
Mom_sd	0.74	0.48	0.79	0.97	0.83	0.96	0.83	1.11
Dad_sd	0.46	0.32	0.5	0.4	0.49	0.9	0.65	0.38

Feeling Lonely Descriptives

Descriptive	Move	D1	D2	D3	D4	D5	D6	D7
Child_mean	1.44	1.5	1.55	1.71	1.92	1.77	2.22	1.45
Mom_mean	1.62	1.6	1.58	1.54	1.6	1.8	1.87	2.25
Dad_mean	1.38	1.1	1.11	1.36	1.33	1.58	1.27	1.23
Child_n	9	10	11	7	12	13	9	11
Mom_n	8	10	12	13	15	15	15	12
Dad_n	8	10	9	11	12	12	11	13
Child_sd	0.73	0.71	0.93	0.76	1.08	1.01	1.2	0.52
Mom_sd	1.06	0.7	0.67	0.88	0.99	1.01	0.99	1.29
Dad_sd	0.52	0.32	0.33	0.67	0.49	1	0.47	0.44

Physical Discomfort Descriptives

Descriptive	Move	D1	D2	D3	D4	D5	D6	D7
Child_mean	1.89	1.5	1.55	2.14	1.5	1.77	1.33	1.64
Mom_mean	1.5	1.5	1.33	1.38	1.33	1.6	1.73	1.83
Dad_mean	1.38	1.3	1.89	1.18	1.33	1.33	1.36	1.46
Child_n	9	10	11	7	12	13	9	11
Mom_n	8	10	12	13	15	15	15	12
Dad_n	8	10	9	11	12	12	11	13
Child_sd	0.78	0.71	0.82	1.21	0.8	0.93	0.71	0.92
Mom_sd	0.76	0.71	0.49	0.65	0.62	0.91	0.96	0.83
Dad_sd	0.52	0.67	1.05	0.6	0.49	0.65	0.5	0.66

Feeling Anxious Descriptives

Descriptive	Move	D1	D2	D3	D4	D5	D6	D7
Child_mean	2.78	2	1.82	1.71	1.67	1.46	1.67	1.45
Mom_mean	2.12	1.7	1.83	2.15	2	1.87	1.67	2.33
Dad_mean	2.12	2.1	2.11	1.73	1.5	1.5	1.55	1.54
Child_n	9	10	11	7	12	13	9	11
Mom_n	8	10	12	13	15	15	15	12
Dad_n	8	10	9	11	12	12	11	13
Child_sd	1.39	1.25	1.08	1.11	1.23	0.97	1.12	0.82
Mom_sd	0.83	0.82	1.19	1.14	1.13	1.06	1.05	1.23
Dad_sd	1.36	1.1	1.05	1.1	0.67	0.9	0.93	0.88

Feeling Thankful Descriptives

Descriptive	Move	D1	D2	D3	D4	D5	D6	D7
Child_mean	3.11	2.9	2.64	2.71	2.33	2.54	2.78	2.82
Mom_mean	2.88	2.8	2.83	3	3.07	2.6	2.87	2.83
Dad_mean	3.12	3.2	2.67	2.91	2.42	2.42	2.36	2.54
Child_n	9	10	11	7	12	13	9	11
Mom_n	8	10	12	13	15	15	15	12
Dad_n	8	10	9	11	12	12	11	13
Child_sd	1.36	1.1	1.21	0.95	0.78	0.52	0.97	0.87
Mom_sd	0.83	0.92	1.11	0.82	0.96	0.91	0.92	1.03
Dad_sd	0.83	0.92	0.87	0.94	0.79	0.79	0.81	0.88

Thinking About Freedom Descriptives

Descriptive	Move	D1	D2	D3	D4	D5	D6	D7
Child_mean	3.56	3.3	3.55	3.86	3.42	3.54	3.22	3.55
Mom_mean	1.38	1.7	2.25	2.23	2.2	2.33	2.27	2.17
Dad_mean	1.75	1.7	2.22	2	2.25	1.83	1.73	2.08
Child_n	9	10	11	7	12	13	9	11
Mom_n	8	10	12	13	15	15	15	12
Dad_n	8	10	9	11	12	12	11	13
Child_sd	0.73	0.82	0.69	0.38	0.67	0.66	0.97	0.52
Mom_sd	0.52	0.95	1.14	1.01	1.08	1.11	0.96	1.11
Dad_sd	1.16	1.06	0.97	0.77	1.14	0.83	0.79	0.76

Meaningful Contact Descriptives

Descriptive	Move	D1	D2	D3	D4	D5	D6	D7
Child_mean	3.44	2.8	2.36	2.43	2.33	2.15	2.22	2.09
Mom_mean	3.25	3	2.5	2.46	2.73	2.4	2.4	2.25
Dad_mean	2.88	3	2.67	2.09	1.92	1.75	1.91	1.92
Child_n	9	10	11	7	12	13	9	11
Mom_n	8	10	12	13	15	15	15	12
Dad_n	8	10	9	11	12	12	11	13
Child_sd	0.73	1.14	1.03	1.13	0.78	0.8	0.44	0.94
Mom_sd	0.71	1.05	1.17	0.52	1.1	0.74	0.91	0.87
Dad_sd	0.99	1.15	1.12	0.94	0.9	0.87	0.94	0.95

Kind to Self Descriptives

Descriptive	Move	D1	D2	D3	D4	D5	D6	D7
Child_mean	2.89	2.4	2.45	2.57	2.36	2.23	1.78	2.55
Mom_mean	2.5	2.6	2.5	2.15	2.4	2.4	2.33	2.5
Dad_mean	1.75	2.1	1.67	2.09	1.75	1.75	1.55	1.85
Child_n	9	10	11	7	11	13	9	11
Mom_n	8	10	12	13	15	15	15	12
Dad_n	8	10	9	11	12	12	11	13
Child_sd	0.93	0.7	0.69	0.79	0.81	1.01	0.67	0.69
Mom_sd	0.76	0.84	0.9	0.55	0.83	0.83	0.98	1
Dad_sd	1.16	0.88	0.71	1.04	0.62	0.62	0.69	0.55

Taking Care of Self Descriptives

Descriptive	Move	D1	D2	D3	D4	D5	D6	D7
Child_mean	2.44	2.6	2.09	2.14	2.75	2.77	2	2.27
Mom_mean	2.12	1.9	2.42	2.15	2.27	2.33	2.4	2.25
Dad_mean	2	2.2	2.11	2.45	2.5	2.25	1.91	2.38
Child_n	9	10	11	7	12	13	9	11
Mom_n	8	10	12	13	15	15	15	12
Dad_n	8	10	9	11	12	12	11	13
Child_sd	0.88	1.07	0.54	0.38	1.14	0.93	0.71	1.01
Mom_sd	0.64	0.99	1	0.8	1.1	1.18	1.18	1.22
Dad_sd	1.31	1.23	0.93	1.13	1.09	1.06	0.83	1.12

Monthly Differences

Negative Variable Graphs

Positive Variable Graphs

Feeling Down Descriptives

Descriptive	T_1_mean	T0_mean	T1_mean	T3_mean
Child_mean	1.51	1.65	1.71	1.8
Mom_mean	1.55	1.49	1.54	1.51
Dad_mean	1.22	1.27	1.19	1.13
Child_n	17	13	13	12
Mom_n	16	14	16	15
Dad_n	15	13	14	13
Child_sd	0.4	0.56	0.69	0.77
Mom_sd	0.49	0.66	0.63	0.59
Dad_sd	0.43	0.43	0.42	0.21

Feeling Lonely Descriptives

Descriptive	T_1_mean	T0_mean	T1_mean	T3_mean
Child_mean	1.36	1.71	1.62	1.64
Mom_mean	1.29	1.63	1.44	1.55
Dad_mean	1.22	1.3	1.29	1.24
Child_n	17	13	13	12
Mom_n	16	14	16	15
Dad_n	15	13	14	13
Child_sd	0.39	0.73	0.63	0.69
Mom_sd	0.4	0.77	0.53	0.78
Dad_sd	0.43	0.4	0.36	0.33

Physical Discomfort Descriptives

Descriptive	T_1_mean	T0_mean	T1_mean	T3_mean
Child_mean	1.62	1.64	2.05	1.89
Mom_mean	1.59	1.46	1.65	1.66
Dad_mean	1.64	1.4	1.57	1.51
Child_n	17	13	13	12
Mom_n	16	14	16	15
Dad_n	15	13	14	13
Child_sd	0.53	0.56	0.76	0.9
Mom_sd	0.43	0.59	0.81	0.75
Dad_sd	0.67	0.53	0.67	0.53

Feeling Anxious Descriptives

Descriptive	T_1_mean	T0_mean	T1_mean	T3_mean
Child_mean	1.63	1.71	1.7	1.84
Mom_mean	2.17	2.01	1.75	1.68
Dad_mean	1.65	1.73	1.63	1.39
Child_n	17	13	13	12
Mom_n	16	14	16	15
Dad_n	15	13	14	13
Child_sd	0.7	0.83	0.91	0.98
Mom_sd	0.84	0.98	0.68	0.6
Dad_sd	0.62	0.82	0.56	0.64

Feeling Thankful Descriptives

Descriptive	T_1_mean	T0_mean	T1_mean	T3_mean
Child_mean	2.92	2.7	2.86	2.79
Mom_mean	3.03	2.95	2.91	2.91
Dad_mean	2.85	2.67	2.4	2.42
Child_n	17	13	13	12
Mom_n	16	14	16	15
Dad_n	15	13	14	13
Child_sd	0.76	0.65	0.49	0.72
Mom_sd	0.64	0.69	0.58	0.66
Dad_sd	0.65	0.67	0.69	0.67

Thinking About Freedom Descriptives

Descriptive	T_1_mean	T0_mean	T1_mean	T3_mean
Child_mean	2.9	3.44	3.38	3.28
Mom_mean	1.82	2.1	2.32	2.41
Dad_mean	1.92	1.94	1.96	1.82
Child_n	17	13	13	12
Mom_n	16	14	16	15
Dad_n	15	13	14	13
Child_sd	0.75	0.48	0.62	0.71
Mom_sd	0.76	0.82	0.74	0.83
Dad_sd	0.88	0.71	0.66	0.56

Meaningful Contact Descriptives

Descriptive	T_1_mean	T0_mean	T1_mean	T3_mean
Child_mean	2.52	2.45	2.05	2.39
Mom_mean	2.66	2.62	2.1	2.21
Dad_mean	2.62	2.2	1.93	1.92
Child_n	17	13	13	12
Mom_n	16	14	16	15
Dad_n	15	13	14	13
Child_sd	0.66	0.58	0.39	0.72
Mom_sd	0.59	0.58	0.4	0.41
Dad_sd	0.62	0.77	0.51	0.66

Kind to Self Descriptives

Descriptive	T_1_mean	T0_mean	T1_mean	T3_mean
Child_mean	2.71	2.4	2.39	2.35
Mom_mean	2.48	2.37	2.41	2.3
Dad_mean	2.18	1.84	1.99	1.97
Child_n	17	13	13	12
Mom_n	16	14	16	15
Dad_n	15	13	14	13
Child_sd	0.5	0.57	0.59	0.75
Mom_sd	0.6	0.55	0.53	0.62
Dad_sd	0.7	0.61	0.62	0.65

Taking Care of Self Descriptives

Descriptive	T_1_mean	T0_mean	T1_mean	T3_mean
Child_mean	2.68	2.44	2.44	2.51
Mom_mean	2.31	2.17	2.3	2.38
Dad_mean	2.44	2.26	2.33	2.22
Child_n	17	13	13	12
Mom_n	16	14	16	15
Dad_n	15	13	14	13
Child_sd	0.76	0.54	0.53	0.67
Mom_sd	0.54	0.7	0.6	0.62
Dad_sd	0.82	0.91	0.75	0.73

Moving Week Multilevel Models

Feeling Down

Intercept Model

## boundary (singular) fit: see help('isSingular')

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ 1 + (1 | ID) + (1 | FamID)
##    Data: core1_data
## 
## REML criterion at convergence: 522.4
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.3794 -0.3455 -0.1172  0.1023  3.4990 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept) 0.2989   0.5467  
##  FamID    (Intercept) 0.0000   0.0000  
##  Residual             0.2995   0.5472  
## Number of obs: 268, groups:  ID, 43; FamID, 19
## 
## Fixed effects:
##             Estimate Std. Error      df t value Pr(>|t|)    
## (Intercept)   1.5120     0.0907 40.6621   16.67   <2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## optimizer (nloptwrap) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')

Intercept Model (No Family Nesting)

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ 1 + (1 | ID)
##    Data: core1_data
## 
## REML criterion at convergence: 522.4
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.3794 -0.3455 -0.1172  0.1023  3.4990 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept) 0.2989   0.5467  
##  Residual             0.2995   0.5472  
## Number of obs: 268, groups:  ID, 43
## 
## Fixed effects:
##             Estimate Std. Error      df t value Pr(>|t|)    
## (Intercept)   1.5120     0.0907 40.6621   16.67   <2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

ICC Estimates

## [1] "ICC for ID is 0.4995"

## [1] "ICC for residuals is 0.5005"

Effects Model

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ Role * Day + (1 + Day | ID)
##    Data: core1_data
## 
## REML criterion at convergence: 522
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.7710 -0.3695 -0.1427  0.1563  3.2063 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev. Corr
##  ID       (Intercept) 0.108716 0.32972      
##           Day         0.003722 0.06101  0.72
##  Residual             0.279291 0.52848      
## Number of obs: 268, groups:  ID, 43
## 
## Fixed effects:
##                Estimate Std. Error       df t value Pr(>|t|)    
## (Intercept)     1.46526    0.14840 31.38893   9.874  3.8e-11 ***
## RoleMother     -0.04488    0.20368 36.60599  -0.220    0.827    
## RoleFather     -0.22803    0.20829 34.66550  -1.095    0.281    
## Day             0.05309    0.03171 26.50376   1.674    0.106    
## RoleMother:Day -0.01551    0.04343 32.49449  -0.357    0.723    
## RoleFather:Day -0.04480    0.04422 28.81679  -1.013    0.319    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) RlMthr RlFthr Day    RlMt:D
## RoleMother  -0.729                            
## RoleFather  -0.712  0.519                     
## Day         -0.285  0.208  0.203              
## RoleMthr:Dy  0.208 -0.357 -0.148 -0.730       
## RoleFthr:Dy  0.205 -0.149 -0.300 -0.717  0.524

Feeling Lonely

Intercept Model

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ 1 + (1 | ID) + (1 | FamID)
##    Data: core2_data
## 
## REML criterion at convergence: 550.3
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.2116 -0.4977 -0.1008  0.3307  3.6101 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept) 0.4508   0.6714  
##  FamID    (Intercept) 0.0107   0.1035  
##  Residual             0.3156   0.5618  
## Number of obs: 268, groups:  ID, 43; FamID, 19
## 
## Fixed effects:
##             Estimate Std. Error      df t value Pr(>|t|)    
## (Intercept)   1.6532     0.1118 11.7863   14.79 5.73e-09 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

ICC Estimates

## [1] "ICC for ID is 0.5801"

## [1] "ICC for family is 0.0138"

## [1] "ICC for residuals is 0.4061"

Effects Model

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ Role * Day + (1 | ID)
##    Data: core2_data
## 
## REML criterion at convergence: 559.9
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.2373 -0.4503 -0.0857  0.3473  3.6531 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept) 0.4132   0.6428  
##  Residual             0.3166   0.5627  
## Number of obs: 268, groups:  ID, 43
## 
## Fixed effects:
##                  Estimate Std. Error         df t value Pr(>|t|)    
## (Intercept)      1.714488   0.223008  59.492139   7.688 1.76e-10 ***
## RoleMother      -0.080673   0.299355  67.054503  -0.269    0.788    
## RoleFather      -0.466734   0.310896  60.805163  -1.501    0.138    
## Day              0.011826   0.028250 224.219930   0.419    0.676    
## RoleMother:Day   0.037579   0.039830 229.030490   0.943    0.346    
## RoleFather:Day   0.001581   0.039496 223.576064   0.040    0.968    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) RlMthr RlFthr Day    RlMt:D
## RoleMother  -0.745                            
## RoleFather  -0.717  0.534                     
## Day         -0.473  0.352  0.339              
## RoleMthr:Dy  0.336 -0.518 -0.241 -0.709       
## RoleFthr:Dy  0.338 -0.252 -0.482 -0.715  0.507

Physical Discomfort

Intercept Model

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ 1 + (1 | ID) + (1 | FamID)
##    Data: core3_data
## 
## REML criterion at convergence: 519.3
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.3014 -0.5035 -0.1287  0.1700  4.0293 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept) 0.1516   0.3893  
##  FamID    (Intercept) 0.1304   0.3611  
##  Residual             0.3052   0.5525  
## Number of obs: 268, groups:  ID, 43; FamID, 19
## 
## Fixed effects:
##             Estimate Std. Error      df t value Pr(>|t|)    
## (Intercept)   1.5711     0.1116 16.6026   14.07 1.18e-10 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

ICC Estimates

## [1] "ICC for ID is 0.2581"

## [1] "ICC for family is 0.222"

## [1] "ICC for residuals is 0.5198"

Effects Model

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ Role * Day + (1 + Day | ID) + (1 | FamID)
##    Data: core3_data
## 
## REML criterion at convergence: 520.7
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.2507 -0.4390 -0.1264  0.2548  4.4609 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev. Corr 
##  ID       (Intercept) 0.146126 0.38226       
##           Day         0.008623 0.09286  -0.38
##  FamID    (Intercept) 0.097967 0.31300       
##  Residual             0.261521 0.51139       
## Number of obs: 268, groups:  ID, 43; FamID, 19
## 
## Fixed effects:
##                Estimate Std. Error       df t value Pr(>|t|)    
## (Intercept)     1.81722    0.18261 28.69431   9.951 8.26e-11 ***
## RoleMother     -0.40395    0.22204 27.56104  -1.819   0.0797 .  
## RoleFather     -0.35186    0.22532 26.12260  -1.562   0.1304    
## Day            -0.03264    0.03807 32.39345  -0.857   0.3975    
## RoleMother:Day  0.07033    0.05137 36.86034   1.369   0.1792    
## RoleFather:Day  0.02140    0.05258 33.14984   0.407   0.6866    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) RlMthr RlFthr Day    RlMt:D
## RoleMother  -0.664                            
## RoleFather  -0.643  0.530                     
## Day         -0.560  0.452  0.442              
## RoleMthr:Dy  0.393 -0.641 -0.326 -0.738       
## RoleFthr:Dy  0.398 -0.324 -0.617 -0.723  0.536

Feeling Anxious

Intercept Model

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ 1 + (1 | ID) + (1 | FamID)
##    Data: core7_data
## 
## REML criterion at convergence: 647.7
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.2215 -0.3951 -0.1292  0.5282  3.5620 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept) 0.4347   0.6593  
##  FamID    (Intercept) 0.2686   0.5183  
##  Residual             0.4586   0.6772  
## Number of obs: 268, groups:  ID, 43; FamID, 19
## 
## Fixed effects:
##             Estimate Std. Error      df t value Pr(>|t|)    
## (Intercept)   1.8436     0.1666 16.6901   11.07  4.2e-09 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

ICC Estimates

## [1] "ICC for ID is 0.3742"

## [1] "ICC for family is 0.2312"

## [1] "ICC for residuals is 0.3947"

Effects Model

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ Role * Day + (1 + Day | ID) + (1 | FamID)
##    Data: core7_data
## 
## REML criterion at convergence: 626.2
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.0375 -0.4702 -0.1097  0.4216  3.0516 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev. Corr 
##  ID       (Intercept) 0.631875 0.79491       
##           Day         0.007417 0.08612  -0.57
##  FamID    (Intercept) 0.291089 0.53953       
##  Residual             0.366862 0.60569       
## Number of obs: 268, groups:  ID, 43; FamID, 19
## 
## Fixed effects:
##                Estimate Std. Error       df t value Pr(>|t|)    
## (Intercept)     2.37261    0.30611 35.74358   7.751 3.66e-09 ***
## RoleMother     -0.27891    0.36991 24.72210  -0.754 0.457981    
## RoleFather     -0.28013    0.38047 22.96313  -0.736 0.469020    
## Day            -0.15692    0.04076 32.01022  -3.850 0.000533 ***
## RoleMother:Day  0.12701    0.05603 37.06244   2.267 0.029320 *  
## RoleFather:Day  0.06097    0.05626 33.42230   1.084 0.286209    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) RlMthr RlFthr Day    RlMt:D
## RoleMother  -0.685                            
## RoleFather  -0.650  0.543                     
## Day         -0.585  0.482  0.466              
## RoleMthr:Dy  0.417 -0.668 -0.339 -0.727       
## RoleFthr:Dy  0.422 -0.348 -0.649 -0.725  0.527
## optimizer (nloptwrap) convergence code: 0 (OK)
## Model failed to converge with max|grad| = 0.00445447 (tol = 0.002, component 1)

Feeling Thankful

Intercept Model

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ 1 + (1 | ID) + (1 | FamID)
##    Data: core8_data
## 
## REML criterion at convergence: 640
## 
## Scaled residuals: 
##      Min       1Q   Median       3Q      Max 
## -2.29098 -0.55260 -0.07482  0.54705  2.60233 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept) 0.2310   0.4807  
##  FamID    (Intercept) 0.1152   0.3394  
##  Residual             0.4915   0.7011  
## Number of obs: 268, groups:  ID, 43; FamID, 19
## 
## Fixed effects:
##             Estimate Std. Error      df t value Pr(>|t|)    
## (Intercept)   2.8028     0.1197 18.1389   23.41 5.27e-15 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

ICC Estimates

## [1] "ICC for ID is 0.2758"

## [1] "ICC for family is 0.1375"

## [1] "ICC for residuals is 0.5867"

Effects Model

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ Role * Day + (1 + Day | ID) + (1 | FamID)
##    Data: core8_data
## 
## REML criterion at convergence: 634.6
## 
## Scaled residuals: 
##      Min       1Q   Median       3Q      Max 
## -2.74578 -0.49974 -0.03667  0.63455  2.78727 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev. Corr 
##  ID       (Intercept) 0.34308  0.5857        
##           Day         0.01107  0.1052   -0.58
##  FamID    (Intercept) 0.13095  0.3619        
##  Residual             0.41331  0.6429        
## Number of obs: 268, groups:  ID, 43; FamID, 19
## 
## Fixed effects:
##                 Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)     3.055733   0.247073 34.124612  12.368 3.67e-14 ***
## RoleMother     -0.027354   0.310131 22.598847  -0.088    0.930    
## RoleFather      0.009339   0.315949 21.301565   0.030    0.977    
## Day            -0.074871   0.045759 33.917802  -1.636    0.111    
## RoleMother:Day  0.050176   0.062150 38.923402   0.807    0.424    
## RoleFather:Day -0.025165   0.063165 34.890243  -0.398    0.693    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) RlMthr RlFthr Day    RlMt:D
## RoleMother  -0.689                            
## RoleFather  -0.667  0.534                     
## Day         -0.663  0.524  0.511              
## RoleMthr:Dy  0.475 -0.729 -0.376 -0.734       
## RoleFthr:Dy  0.476 -0.378 -0.711 -0.724  0.533

Thinking About Freedom

Intercept Model

## boundary (singular) fit: see help('isSingular')

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ 1 + (1 | ID) + (1 | FamID)
##    Data: core9_data
## 
## REML criterion at convergence: 627
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.3088 -0.4622  0.0002  0.4845  2.5954 
## 
## Random effects:
##  Groups   Name        Variance  Std.Dev. 
##  ID       (Intercept) 8.259e-01 9.088e-01
##  FamID    (Intercept) 2.575e-09 5.074e-05
##  Residual             4.006e-01 6.329e-01
## Number of obs: 268, groups:  ID, 43; FamID, 19
## 
## Fixed effects:
##             Estimate Std. Error      df t value Pr(>|t|)    
## (Intercept)   2.3912     0.1448 41.9689   16.52   <2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## optimizer (nloptwrap) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')

Intercept Model (no family nesting)

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ 1 + (1 | ID)
##    Data: core9_data
## 
## REML criterion at convergence: 627
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.3088 -0.4622  0.0002  0.4845  2.5954 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept) 0.8259   0.9088  
##  Residual             0.4006   0.6329  
## Number of obs: 268, groups:  ID, 43
## 
## Fixed effects:
##             Estimate Std. Error      df t value Pr(>|t|)    
## (Intercept)   2.3912     0.1448 41.9692   16.52   <2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

ICC Estimates

## [1] "ICC for ID is 0.6734"

## [1] "ICC for residuals is 0.3266"

Effects Model

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ Role * Day + (1 + Day | ID)
##    Data: core9_data
## 
## REML criterion at convergence: 580.1
## 
## Scaled residuals: 
##      Min       1Q   Median       3Q      Max 
## -2.69697 -0.43076 -0.00402  0.40801  2.87882 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev. Corr 
##  ID       (Intercept) 0.65908  0.8118        
##           Day         0.01577  0.1256   -0.53
##  Residual             0.29108  0.5395        
## Number of obs: 268, groups:  ID, 43
## 
## Fixed effects:
##                 Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)     3.354866   0.270231 32.524980  12.415 6.94e-14 ***
## RoleMother     -1.746925   0.362647 34.273630  -4.817 2.91e-05 ***
## RoleFather     -1.518573   0.373503 32.918999  -4.066  0.00028 ***
## Day             0.015457   0.046975 31.863504   0.329  0.74428    
## RoleMother:Day  0.097217   0.063405 35.461503   1.533  0.13408    
## RoleFather:Day  0.009358   0.064696 32.071154   0.145  0.88589    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) RlMthr RlFthr Day    RlMt:D
## RoleMother  -0.745                            
## RoleFather  -0.724  0.539                     
## Day         -0.634  0.472  0.459              
## RoleMthr:Dy  0.470 -0.658 -0.340 -0.741       
## RoleFthr:Dy  0.460 -0.343 -0.632 -0.726  0.538

Meaningful Contact

Intercept Model

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ 1 + (1 | ID) + (1 | FamID)
##    Data: core11_data
## 
## REML criterion at convergence: 685.9
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.5168 -0.6639 -0.2133  0.6717  2.5898 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept) 0.1872   0.4327  
##  FamID    (Intercept) 0.1980   0.4450  
##  Residual             0.5973   0.7729  
## Number of obs: 268, groups:  ID, 43; FamID, 19
## 
## Fixed effects:
##             Estimate Std. Error      df t value Pr(>|t|)    
## (Intercept)   2.4765     0.1361 14.3490   18.19 2.59e-11 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

ICC Estimates

## [1] "ICC for ID is 0.1906"

## [1] "ICC for family is 0.2015"

## [1] "ICC for residuals is 0.6079"

Effects Model

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ Role * Day + (1 + Day | ID)
##    Data: core11_data
## 
## REML criterion at convergence: 654.6
## 
## Scaled residuals: 
##      Min       1Q   Median       3Q      Max 
## -2.40037 -0.66434  0.00962  0.56601  2.29096 
## 
## Random effects:
##  Groups   Name        Variance  Std.Dev. Corr
##  ID       (Intercept) 3.543e-01 0.595248     
##           Day         4.526e-06 0.002127 0.99
##  Residual             4.883e-01 0.698751     
## Number of obs: 268, groups:  ID, 43
## 
## Fixed effects:
##                 Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)      3.17247    0.22988  37.46469  13.801 2.88e-16 ***
## RoleMother      -0.15878    0.31239  42.15810  -0.508    0.614    
## RoleFather      -0.37903    0.32136  39.18750  -1.179    0.245    
## Day             -0.17511    0.03497 226.38066  -5.008 1.11e-06 ***
## RoleMother:Day   0.07018    0.04915 229.61106   1.428    0.155    
## RoleFather:Day   0.02141    0.04891 226.66457   0.438    0.662    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) RlMthr RlFthr Day    RlMt:D
## RoleMother  -0.736                            
## RoleFather  -0.715  0.526                     
## Day         -0.553  0.407  0.396              
## RoleMthr:Dy  0.393 -0.597 -0.281 -0.711       
## RoleFthr:Dy  0.395 -0.291 -0.563 -0.715  0.509
## optimizer (nloptwrap) convergence code: 0 (OK)
## Model failed to converge with max|grad| = 0.00787907 (tol = 0.002, component 1)

Meaningful Contact

Intercept Model

## boundary (singular) fit: see help('isSingular')

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ 1 + (1 | ID) + (1 | FamID)
##    Data: core17_data
## 
## REML criterion at convergence: 597.9
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.3779 -0.4357 -0.0681  0.3681  3.6150 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept) 0.3235   0.5688  
##  FamID    (Intercept) 0.0000   0.0000  
##  Residual             0.4133   0.6429  
## Number of obs: 267, groups:  ID, 43; FamID, 19
## 
## Fixed effects:
##             Estimate Std. Error       df t value Pr(>|t|)    
## (Intercept)  2.24949    0.09628 41.00126   23.36   <2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## optimizer (nloptwrap) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')

Intercept Model without Family Nesting

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ 1 + (1 | ID)
##    Data: core17_data
## 
## REML criterion at convergence: 597.9
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.3779 -0.4357 -0.0681  0.3681  3.6150 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept) 0.3235   0.5688  
##  Residual             0.4133   0.6429  
## Number of obs: 267, groups:  ID, 43
## 
## Fixed effects:
##             Estimate Std. Error       df t value Pr(>|t|)    
## (Intercept)  2.24949    0.09628 41.00125   23.36   <2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

ICC Estimates

## [1] "ICC for ID is 0.4391"

## [1] "ICC for residuals is 0.5609"

Effects Model

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ Role * Day + (1 + Day | ID)
##    Data: core17_data
## 
## REML criterion at convergence: 600.3
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.4271 -0.4720 -0.0338  0.4440  3.6014 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev. Corr 
##  ID       (Intercept) 0.280290 0.5294        
##           Day         0.002392 0.0489   -0.25
##  Residual             0.395725 0.6291        
## Number of obs: 267, groups:  ID, 43
## 
## Fixed effects:
##                 Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)     2.546650   0.207715 27.013059  12.260 1.51e-12 ***
## RoleMother     -0.024685   0.282576 30.071247  -0.087   0.9310    
## RoleFather     -0.509926   0.289646 28.792697  -1.761   0.0889 .  
## Day            -0.050822   0.035065 23.881936  -1.449   0.1602    
## RoleMother:Day  0.041861   0.048627 29.713042   0.861   0.3962    
## RoleFather:Day -0.001702   0.048749 26.323235  -0.035   0.9724    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) RlMthr RlFthr Day    RlMt:D
## RoleMother  -0.735                            
## RoleFather  -0.717  0.527                     
## Day         -0.605  0.445  0.434              
## RoleMthr:Dy  0.437 -0.642 -0.313 -0.721       
## RoleFthr:Dy  0.435 -0.320 -0.612 -0.719  0.519

Taking Care of Self

Intercept Model

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ 1 + (1 | ID) + (1 | FamID)
##    Data: core18_data
## 
## REML criterion at convergence: 665
## 
## Scaled residuals: 
##      Min       1Q   Median       3Q      Max 
## -2.41264 -0.59187 -0.03867  0.46319  2.30934 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept) 0.3038   0.5512  
##  FamID    (Intercept) 0.2245   0.4739  
##  Residual             0.5186   0.7202  
## Number of obs: 268, groups:  ID, 43; FamID, 19
## 
## Fixed effects:
##             Estimate Std. Error      df t value Pr(>|t|)    
## (Intercept)   2.3018     0.1498 15.2994   15.36 1.04e-10 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

ICC Estimates

## [1] "ICC for ID is 0.2902"

## [1] "ICC for family is 0.2145"

## [1] "ICC for residuals is 0.4953"

Effects Model

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ Role * Day + (1 + Day | ID) + (1 | FamID)
##    Data: core18_data
## 
## REML criterion at convergence: 659.9
## 
## Scaled residuals: 
##      Min       1Q   Median       3Q      Max 
## -2.21957 -0.58496 -0.06983  0.48464  2.83521 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev. Corr 
##  ID       (Intercept) 0.49706  0.7050        
##           Day         0.02124  0.1457   -0.60
##  FamID    (Intercept) 0.21183  0.4602        
##  Residual             0.41330  0.6429        
## Number of obs: 268, groups:  ID, 43; FamID, 19
## 
## Fixed effects:
##                 Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)     2.397344   0.284986 34.619656   8.412 6.94e-10 ***
## RoleMother     -0.418758   0.350035 31.894937  -1.196    0.240    
## RoleFather     -0.231392   0.356932 30.387967  -0.648    0.522    
## Day             0.005055   0.054845 33.311492   0.092    0.927    
## RoleMother:Day  0.068502   0.073781 37.210731   0.928    0.359    
## RoleFather:Day  0.011169   0.075586 33.521070   0.148    0.883    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) RlMthr RlFthr Day    RlMt:D
## RoleMother  -0.681                            
## RoleFather  -0.658  0.538                     
## Day         -0.636  0.513  0.500              
## RoleMthr:Dy  0.457 -0.709 -0.371 -0.741       
## RoleFthr:Dy  0.457 -0.370 -0.692 -0.725  0.539

Monthly Multilevel Models

Feeling Down

Intercept Model

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ 1 + (1 | ID) + (1 | FamID)
##    Data: core1_data
## 
## REML criterion at convergence: 195.1
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.0329 -0.3944 -0.1452  0.3113  4.0207 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept) 0.22513  0.4745  
##  FamID    (Intercept) 0.01128  0.1062  
##  Residual             0.09229  0.3038  
## Number of obs: 174, groups:  ID, 52; FamID, 20
## 
## Fixed effects:
##             Estimate Std. Error       df t value Pr(>|t|)    
## (Intercept)  1.50334    0.07474 17.02715   20.11 2.64e-13 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

ICC Estimates

## [1] "ICC for ID is 0.6849"

## [1] "ICC for FamID is 0.0343"

## [1] "ICC for residuals is 0.2808"

Effects Model

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ Role * Day + (1 + Day | ID) + (1 | FamID)
##    Data: core1_data
## 
## REML criterion at convergence: 184.4
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.3062 -0.4345 -0.1068  0.3430  4.1581 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev. Corr
##  ID       (Intercept) 0.13637  0.3693       
##           Day         0.01065  0.1032   0.24
##  FamID    (Intercept) 0.02972  0.1724       
##  Residual             0.07254  0.2693       
## Number of obs: 171, groups:  ID, 49; FamID, 19
## 
## Fixed effects:
##                Estimate Std. Error       df t value Pr(>|t|)    
## (Intercept)     1.53267    0.11484 44.37898  13.346   <2e-16 ***
## RoleMother      0.06001    0.15226 28.68227   0.394   0.6964    
## RoleFather     -0.26739    0.15574 26.94191  -1.717   0.0975 .  
## Day             0.10164    0.04551 38.51914   2.233   0.0314 *  
## RoleMother:Day -0.12765    0.06075 40.62286  -2.101   0.0419 *  
## RoleFather:Day -0.12417    0.06255 39.82472  -1.985   0.0541 .  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) RlMthr RlFthr Day    RlMt:D
## RoleMother  -0.664                            
## RoleFather  -0.640  0.485                     
## Day         -0.170  0.128  0.124              
## RoleMthr:Dy  0.127 -0.195 -0.093 -0.749       
## RoleFthr:Dy  0.124 -0.093 -0.185 -0.728  0.545

Feeling Lonely

Intercept Model

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ 1 + (1 | ID) + (1 | FamID)
##    Data: core2_data
## 
## REML criterion at convergence: 235.5
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.2473 -0.4104 -0.1527  0.2615  4.5318 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept) 0.14309  0.3783  
##  FamID    (Intercept) 0.08723  0.2953  
##  Residual             0.13174  0.3630  
## Number of obs: 174, groups:  ID, 52; FamID, 20
## 
## Fixed effects:
##             Estimate Std. Error       df t value Pr(>|t|)    
## (Intercept)  1.52579    0.09111 15.07147   16.75 3.77e-11 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

ICC Estimates

## [1] "ICC for ID is 0.3952"

## [1] "ICC for FamID is 0.2409"

## [1] "ICC for residuals is 0.3639"

Effects Model

## boundary (singular) fit: see help('isSingular')

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ Role * Day + (1 + Day | ID) + (1 | FamID)
##    Data: core2_data
## 
## REML criterion at convergence: 227.7
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.4677 -0.4655 -0.1537  0.3686  4.9541 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev. Corr
##  ID       (Intercept) 0.084436 0.2906       
##           Day         0.005431 0.0737   1.00
##  FamID    (Intercept) 0.042570 0.2063       
##  Residual             0.118504 0.3442       
## Number of obs: 171, groups:  ID, 49; FamID, 19
## 
## Fixed effects:
##                Estimate Std. Error       df t value Pr(>|t|)    
## (Intercept)     1.47870    0.11344 42.70568  13.035   <2e-16 ***
## RoleMother     -0.03847    0.14557 32.75419  -0.264   0.7932    
## RoleFather     -0.19320    0.14827 30.21679  -1.303   0.2024    
## Day             0.12197    0.04857 61.40301   2.511   0.0147 *  
## RoleMother:Day -0.07749    0.06531 65.55534  -1.186   0.2397    
## RoleFather:Day -0.10894    0.06718 64.02358  -1.622   0.1098    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) RlMthr RlFthr Day    RlMt:D
## RoleMother  -0.641                            
## RoleFather  -0.617  0.483                     
## Day         -0.173  0.134  0.130              
## RoleMthr:Dy  0.128 -0.214 -0.096 -0.744       
## RoleFthr:Dy  0.125 -0.097 -0.201 -0.723  0.538
## optimizer (nloptwrap) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')

Physical Discomfort

Intercept Model

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ 1 + (1 | ID) + (1 | FamID)
##    Data: core3_data
## 
## REML criterion at convergence: 271.7
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.4048 -0.4821 -0.1773  0.4674  4.2547 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept) 0.1057   0.3252  
##  FamID    (Intercept) 0.1364   0.3693  
##  Residual             0.1771   0.4208  
## Number of obs: 174, groups:  ID, 52; FamID, 20
## 
## Fixed effects:
##             Estimate Std. Error      df t value Pr(>|t|)    
## (Intercept)   1.6375     0.1022 19.5426   16.03 1.05e-12 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

ICC Estimates

## [1] "ICC for ID is 0.2523"

## [1] "ICC for FamID is 0.3253"

## [1] "ICC for residuals is 0.4225"

Effects Model

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ Role * Day + (1 + Day | ID) + (1 | FamID)
##    Data: core3_data
## 
## REML criterion at convergence: 261.3
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.2064 -0.4879 -0.1099  0.4837  2.6031 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev. Corr
##  ID       (Intercept) 0.01662  0.1289       
##           Day         0.02294  0.1515   0.77
##  FamID    (Intercept) 0.14343  0.3787       
##  Residual             0.14204  0.3769       
## Number of obs: 171, groups:  ID, 49; FamID, 19
## 
## Fixed effects:
##                Estimate Std. Error       df t value Pr(>|t|)    
## (Intercept)     1.64873    0.12450 33.47661  13.243 7.31e-15 ***
## RoleMother     -0.07154    0.12478 24.35358  -0.573   0.5717    
## RoleFather     -0.05843    0.12541 22.96641  -0.466   0.6457    
## Day             0.11099    0.06458 37.61603   1.719   0.0939 .  
## RoleMother:Day -0.09790    0.08630 39.26809  -1.134   0.2635    
## RoleFather:Day -0.13816    0.08901 38.61659  -1.552   0.1288    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) RlMthr RlFthr Day    RlMt:D
## RoleMother  -0.501                            
## RoleFather  -0.474  0.478                     
## Day         -0.240  0.237  0.229              
## RoleMthr:Dy  0.179 -0.358 -0.171 -0.748       
## RoleFthr:Dy  0.174 -0.172 -0.347 -0.726  0.543

Feeling Anxious

Intercept Model

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ 1 + (1 | ID) + (1 | FamID)
##    Data: core7_data
## 
## REML criterion at convergence: 295.8
## 
## Scaled residuals: 
##      Min       1Q   Median       3Q      Max 
## -2.44977 -0.41232 -0.09365  0.48541  2.82486 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept) 0.2123   0.4607  
##  FamID    (Intercept) 0.2395   0.4894  
##  Residual             0.1774   0.4211  
## Number of obs: 173, groups:  ID, 51; FamID, 20
## 
## Fixed effects:
##             Estimate Std. Error      df t value Pr(>|t|)    
## (Intercept)   1.7904     0.1342 18.2365   13.34 7.51e-11 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

ICC Estimates

## [1] "ICC for ID is 0.3374"

## [1] "ICC for FamID is 0.3806"

## [1] "ICC for residuals is 0.2819"

Effects Model

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ Role * Day + (1 + Day | ID) + (1 | FamID)
##    Data: core7_data
## 
## REML criterion at convergence: 264.3
## 
## Scaled residuals: 
##      Min       1Q   Median       3Q      Max 
## -2.68936 -0.46541 -0.07274  0.44738  2.68581 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev. Corr 
##  ID       (Intercept) 0.33149  0.5758        
##           Day         0.02491  0.1578   -0.73
##  FamID    (Intercept) 0.23710  0.4869        
##  Residual             0.10732  0.3276        
## Number of obs: 171, groups:  ID, 49; FamID, 19
## 
## Fixed effects:
##                Estimate Std. Error       df t value Pr(>|t|)    
## (Intercept)     1.60943    0.19480 41.75633   8.262 2.53e-10 ***
## RoleMother      0.59478    0.22580 38.07161   2.634  0.01213 *  
## RoleFather      0.11245    0.23007 36.66933   0.489  0.62792    
## Day             0.05371    0.05904 41.74934   0.910  0.36816    
## RoleMother:Day -0.26569    0.08011 42.29971  -3.316  0.00188 ** 
## RoleFather:Day -0.15040    0.08217 41.44638  -1.830  0.07439 .  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) RlMthr RlFthr Day    RlMt:D
## RoleMother  -0.581                            
## RoleFather  -0.553  0.484                     
## Day         -0.532  0.470  0.456              
## RoleMthr:Dy  0.395 -0.685 -0.336 -0.736       
## RoleFthr:Dy  0.382 -0.335 -0.681 -0.714  0.526

Feeling Thankful

Intercept Model

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ 1 + (1 | ID) + (1 | FamID)
##    Data: core8_data
## 
## REML criterion at convergence: 252.2
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.6543 -0.5637 -0.1040  0.6163  2.2723 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept) 0.25685  0.5068  
##  FamID    (Intercept) 0.05145  0.2268  
##  Residual             0.13432  0.3665  
## Number of obs: 173, groups:  ID, 51; FamID, 20
## 
## Fixed effects:
##             Estimate Std. Error       df t value Pr(>|t|)    
## (Intercept)  2.83351    0.09356 17.55091   30.28   <2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

ICC Estimates

## [1] "ICC for ID is 0.5803"

## [1] "ICC for FamID is 0.1162"

## [1] "ICC for residuals is 0.3035"

Effects Model

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ Role * Day + (1 + Day | ID) + (1 | FamID)
##    Data: core8_data
## 
## REML criterion at convergence: 237.1
## 
## Scaled residuals: 
##      Min       1Q   Median       3Q      Max 
## -2.66949 -0.47197 -0.00125  0.51130  2.12104 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev. Corr 
##  ID       (Intercept) 0.32345  0.5687        
##           Day         0.02785  0.1669   -0.43
##  FamID    (Intercept) 0.06135  0.2477        
##  Residual             0.08049  0.2837        
## Number of obs: 171, groups:  ID, 49; FamID, 19
## 
## Fixed effects:
##                Estimate Std. Error       df t value Pr(>|t|)    
## (Intercept)     2.94157    0.16294 46.59557  18.054   <2e-16 ***
## RoleMother      0.09770    0.21577 32.22966   0.453    0.654    
## RoleFather     -0.13804    0.22109 30.64418  -0.624    0.537    
## Day            -0.02679    0.05897 41.12482  -0.454    0.652    
## RoleMother:Day -0.05345    0.07902 41.57157  -0.677    0.502    
## RoleFather:Day -0.11387    0.08139 40.91203  -1.399    0.169    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) RlMthr RlFthr Day    RlMt:D
## RoleMother  -0.664                            
## RoleFather  -0.638  0.485                     
## Day         -0.431  0.328  0.318              
## RoleMthr:Dy  0.322 -0.484 -0.237 -0.746       
## RoleFthr:Dy  0.312 -0.237 -0.478 -0.724  0.540

Thinking About Freedom

Intercept Model

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ 1 + (1 | ID) + (1 | FamID)
##    Data: core9_data
## 
## REML criterion at convergence: 317.4
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.4396 -0.5018  0.0290  0.5097  2.3747 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept) 0.59416  0.7708  
##  FamID    (Intercept) 0.01743  0.1320  
##  Residual             0.17497  0.4183  
## Number of obs: 173, groups:  ID, 51; FamID, 20
## 
## Fixed effects:
##             Estimate Std. Error      df t value Pr(>|t|)    
## (Intercept)   2.4154     0.1176 18.0406   20.54  5.8e-14 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

ICC Estimates

## [1] "ICC for ID is 0.7554"

## [1] "ICC for FamID is 0.0222"

## [1] "ICC for residuals is 0.2224"

Effects Model

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ Role * Day + (1 + Day | ID) + (1 | FamID)
##    Data: core9_data
## 
## REML criterion at convergence: 274.1
## 
## Scaled residuals: 
##      Min       1Q   Median       3Q      Max 
## -2.20654 -0.49352  0.06117  0.51825  2.60800 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev. Corr 
##  ID       (Intercept) 0.250335 0.50033       
##           Day         0.008144 0.09024  -0.57
##  FamID    (Intercept) 0.170302 0.41268       
##  Residual             0.138864 0.37265       
## Number of obs: 171, groups:  ID, 49; FamID, 19
## 
## Fixed effects:
##                Estimate Std. Error       df t value Pr(>|t|)    
## (Intercept)     2.96351    0.17582 45.38916  16.856  < 2e-16 ***
## RoleMother     -1.12591    0.20930 35.98506  -5.379 4.70e-06 ***
## RoleFather     -1.09454    0.21314 34.28754  -5.135 1.12e-05 ***
## Day             0.10497    0.05260 32.08882   1.996   0.0545 .  
## RoleMother:Day  0.09530    0.07146 34.90914   1.334   0.1910    
## RoleFather:Day -0.11547    0.07320 34.07534  -1.577   0.1239    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) RlMthr RlFthr Day    RlMt:D
## RoleMother  -0.597                            
## RoleFather  -0.568  0.483                     
## Day         -0.456  0.390  0.380              
## RoleMthr:Dy  0.338 -0.577 -0.279 -0.735       
## RoleFthr:Dy  0.328 -0.279 -0.570 -0.715  0.527

Meaningful Contact

Intercept Model

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ 1 + (1 | ID) + (1 | FamID)
##    Data: core11_data
## 
## REML criterion at convergence: 310.1
## 
## Scaled residuals: 
##      Min       1Q   Median       3Q      Max 
## -1.68836 -0.61921 -0.01073  0.48176  2.91966 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept) 0.07705  0.2776  
##  FamID    (Intercept) 0.05740  0.2396  
##  Residual             0.26503  0.5148  
## Number of obs: 173, groups:  ID, 51; FamID, 20
## 
## Fixed effects:
##             Estimate Std. Error      df t value Pr(>|t|)    
## (Intercept)   2.3714     0.0798 17.3261   29.72 2.61e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

ICC Estimates

## [1] "ICC for ID is 0.1929"

## [1] "ICC for FamID is 0.1437"

## [1] "ICC for residuals is 0.6635"

Effects Model

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ Role * Day + (1 + Day | ID) + (1 | FamID)
##    Data: core11_data
## 
## REML criterion at convergence: 284.5
## 
## Scaled residuals: 
##      Min       1Q   Median       3Q      Max 
## -2.12537 -0.51580 -0.02392  0.45217  2.43338 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev. Corr 
##  ID       (Intercept) 0.18357  0.4285        
##           Day         0.03147  0.1774   -0.77
##  FamID    (Intercept) 0.05678  0.2383        
##  Residual             0.17198  0.4147        
## Number of obs: 171, groups:  ID, 49; FamID, 19
## 
## Fixed effects:
##                Estimate Std. Error       df t value Pr(>|t|)    
## (Intercept)     2.55809    0.14933 42.36140  17.130   <2e-16 ***
## RoleMother      0.12989    0.19603 35.78441   0.663    0.512    
## RoleFather     -0.02621    0.19991 34.46326  -0.131    0.896    
## Day            -0.09271    0.06959 42.54698  -1.332    0.190    
## RoleMother:Day -0.09580    0.09495 42.40816  -1.009    0.319    
## RoleFather:Day -0.13754    0.09742 41.70070  -1.412    0.165    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) RlMthr RlFthr Day    RlMt:D
## RoleMother  -0.659                            
## RoleFather  -0.638  0.488                     
## Day         -0.674  0.518  0.505              
## RoleMthr:Dy  0.495 -0.751 -0.370 -0.732       
## RoleFthr:Dy  0.481 -0.369 -0.747 -0.711  0.521

Being Kind to Self

Intercept Model

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ 1 + (1 | ID) + (1 | FamID)
##    Data: core17_data
## 
## REML criterion at convergence: 262.5
## 
## Scaled residuals: 
##      Min       1Q   Median       3Q      Max 
## -2.56806 -0.60126 -0.05719  0.55819  2.58072 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept) 0.24517  0.49514 
##  FamID    (Intercept) 0.00185  0.04301 
##  Residual             0.15494  0.39362 
## Number of obs: 173, groups:  ID, 51; FamID, 20
## 
## Fixed effects:
##             Estimate Std. Error       df t value Pr(>|t|)    
## (Intercept)  2.30633    0.07721 17.77756   29.87   <2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

ICC Estimates

## [1] "ICC for ID is 0.6099"

## [1] "ICC for FamID is 0.0046"

## [1] "ICC for residuals is 0.3855"

Effects Model

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ Role * Day + (1 + Day | ID) + (1 | FamID)
##    Data: core17_data
## 
## REML criterion at convergence: 254.9
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.0059 -0.5398 -0.0461  0.5127  2.5774 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev. Corr 
##  ID       (Intercept) 0.19860  0.4456        
##           Day         0.01230  0.1109   -0.17
##  FamID    (Intercept) 0.03151  0.1775        
##  Residual             0.12575  0.3546        
## Number of obs: 171, groups:  ID, 49; FamID, 19
## 
## Fixed effects:
##                Estimate Std. Error       df t value Pr(>|t|)    
## (Intercept)     2.64384    0.13958 44.30639  18.942  < 2e-16 ***
## RoleMother     -0.13395    0.18856 32.86640  -0.710  0.48248    
## RoleFather     -0.56093    0.19292 31.20989  -2.908  0.00665 ** 
## Day            -0.11843    0.05471 34.56077  -2.165  0.03742 *  
## RoleMother:Day  0.04049    0.07365 36.67461   0.550  0.58583    
## RoleFather:Day  0.04700    0.07569 35.84062   0.621  0.53859    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) RlMthr RlFthr Day    RlMt:D
## RoleMother  -0.677                            
## RoleFather  -0.655  0.486                     
## Day         -0.392  0.291  0.283              
## RoleMthr:Dy  0.291 -0.435 -0.210 -0.743       
## RoleFthr:Dy  0.283 -0.210 -0.426 -0.722  0.537

Taking Care of Self

Intercept Model

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ 1 + (1 | ID) + (1 | FamID)
##    Data: core18_data
## 
## REML criterion at convergence: 245.8
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.3152 -0.5982 -0.0912  0.5236  2.8753 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept) 0.2778   0.5271  
##  FamID    (Intercept) 0.1027   0.3205  
##  Residual             0.1204   0.3470  
## Number of obs: 173, groups:  ID, 51; FamID, 20
## 
## Fixed effects:
##             Estimate Std. Error      df t value Pr(>|t|)    
## (Intercept)   2.3675     0.1086 18.4741    21.8 1.23e-14 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

ICC Estimates

## [1] "ICC for ID is 0.5545"

## [1] "ICC for FamID is 0.2051"

## [1] "ICC for residuals is 0.2404"

Effects Model

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: value ~ Role * Day + (1 + Day | ID) + (1 | FamID)
##    Data: core18_data
## 
## REML criterion at convergence: 249.2
## 
## Scaled residuals: 
##      Min       1Q   Median       3Q      Max 
## -2.46657 -0.53239  0.01744  0.47419  2.98880 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev. Corr 
##  ID       (Intercept) 0.32017  0.5658        
##           Day         0.01319  0.1148   -0.33
##  FamID    (Intercept) 0.08562  0.2926        
##  Residual             0.09989  0.3161        
## Number of obs: 171, groups:  ID, 49; FamID, 19
## 
## Fixed effects:
##                Estimate Std. Error       df t value Pr(>|t|)    
## (Intercept)     2.61264    0.16902 46.95943  15.457   <2e-16 ***
## RoleMother     -0.35648    0.21922 32.49193  -1.626    0.114    
## RoleFather     -0.24272    0.22435 30.91991  -1.082    0.288    
## Day            -0.04866    0.05151 38.83085  -0.945    0.351    
## RoleMother:Day  0.07840    0.06925 40.49598   1.132    0.264    
## RoleFather:Day  0.03039    0.07116 39.68404   0.427    0.672    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) RlMthr RlFthr Day    RlMt:D
## RoleMother  -0.650                            
## RoleFather  -0.623  0.484                     
## Day         -0.374  0.292  0.283              
## RoleMthr:Dy  0.279 -0.434 -0.210 -0.744       
## RoleFthr:Dy  0.271 -0.211 -0.427 -0.723  0.538

7-day Graphs and Analysis v3

Carson Dover

2026-03-24

Moving Week (August)

Negative Variable Graphs

Positive Variable Graphs

Feeling Down Descriptives

Feeling Lonely Descriptives

Physical Discomfort Descriptives

Feeling Anxious Descriptives

Feeling Thankful Descriptives

Thinking About Freedom Descriptives

Meaningful Contact Descriptives

Kind to Self Descriptives

Taking Care of Self Descriptives

Monthly Differences

Negative Variable Graphs

Positive Variable Graphs

Feeling Down Descriptives

Feeling Lonely Descriptives

Physical Discomfort Descriptives

Feeling Anxious Descriptives

Feeling Thankful Descriptives

Thinking About Freedom Descriptives

Meaningful Contact Descriptives

Kind to Self Descriptives

Taking Care of Self Descriptives

Moving Week Multilevel Models

Feeling Down

Intercept Model

Intercept Model (No Family Nesting)

ICC Estimates

Effects Model

Feeling Lonely

Intercept Model

ICC Estimates

Effects Model

Physical Discomfort

Intercept Model

ICC Estimates

Effects Model

Feeling Anxious

Intercept Model

ICC Estimates

Effects Model

Feeling Thankful

Intercept Model

ICC Estimates

Effects Model

Thinking About Freedom

Intercept Model

Intercept Model (no family nesting)

ICC Estimates

Effects Model

Meaningful Contact

Intercept Model

ICC Estimates

Effects Model

Meaningful Contact

Intercept Model

Intercept Model without Family Nesting

ICC Estimates

Effects Model

Taking Care of Self

Intercept Model

ICC Estimates

Effects Model

Monthly Multilevel Models

Feeling Down

Intercept Model

ICC Estimates

Effects Model

Feeling Lonely

Intercept Model

ICC Estimates

Effects Model

Physical Discomfort

Intercept Model

ICC Estimates

Effects Model