CHAMP1 NH
tl
2025-09-23
basic plotting
Communication Domain
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: vin3_comm_score ~ vin3_exact_age + (1 | record_id)
## Data: nhs
##
## REML criterion at convergence: 210.5
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.15410 -0.70067 -0.04304 0.48845 2.02829
##
## Random effects:
## Groups Name Variance Std.Dev.
## record_id (Intercept) 0.0 0.00
## Residual 126.3 11.24
## Number of obs: 28, groups: record_id, 16
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 46.6351 3.4122 26.0000 13.667 2.23e-13 ***
## vin3_exact_age -1.0776 0.2536 26.0000 -4.249 0.000243 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## vin3_exct_g -0.783
## optimizer (nloptwrap) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: vin3_recept_vscale_score ~ vin3_exact_age + (1 | record_id)
## Data: nhs
##
## REML criterion at convergence: 145.4
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.76322 -0.54963 -0.04802 0.71425 1.57596
##
## Random effects:
## Groups Name Variance Std.Dev.
## record_id (Intercept) 2.723 1.650
## Residual 8.171 2.859
## Number of obs: 28, groups: record_id, 16
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 7.17550 1.12208 10.96261 6.395 5.2e-05 ***
## vin3_exact_age -0.17958 0.08593 9.17763 -2.090 0.0656 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## vin3_exct_g -0.786
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: vin3_recept_growth_scale ~ vin3_exact_age + (1 | record_id)
## Data: nhs
##
## REML criterion at convergence: 231.1
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.5556 -0.2466 0.1051 0.3800 1.5389
##
## Random effects:
## Groups Name Variance Std.Dev.
## record_id (Intercept) 425.91 20.64
## Residual 85.93 9.27
## Number of obs: 28, groups: record_id, 16
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 85.1353 8.3545 19.1648 10.190 3.56e-09 ***
## vin3_exact_age 1.1377 0.6295 23.0574 1.807 0.0838 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## vin3_exct_g -0.753
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: vin3_express_vscale_score ~ vin3_exact_age + (1 | record_id)
## Data: nhs
##
## REML criterion at convergence: 107.6
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -0.8227 -0.6071 -0.3312 0.1582 3.0368
##
## Random effects:
## Groups Name Variance Std.Dev.
## record_id (Intercept) 0.000 0.000
## Residual 2.417 1.555
## Number of obs: 28, groups: record_id, 16
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 2.45214 0.47204 26.00000 5.195 2.01e-05 ***
## vin3_exact_age -0.07684 0.03508 26.00000 -2.190 0.0377 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## vin3_exct_g -0.783
## optimizer (nloptwrap) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: vin3_express_growth_scale ~ vin3_exact_age + (1 | record_id)
## Data: nhs
##
## REML criterion at convergence: 227.4
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.50562 -0.48738 0.09281 0.46485 1.43824
##
## Random effects:
## Groups Name Variance Std.Dev.
## record_id (Intercept) 565.84 23.787
## Residual 48.04 6.931
## Number of obs: 28, groups: record_id, 16
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 90.8337 8.5698 22.1694 10.599 3.8e-10 ***
## vin3_exact_age 1.5743 0.6021 25.8260 2.615 0.0147 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## vin3_exct_g -0.700
Daily Living Skills
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: vin3_daily_living_score ~ vin3_exact_age + (1 | record_id)
## Data: nhs
##
## REML criterion at convergence: 205.3
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.7813 -0.5048 0.1292 0.5145 1.4537
##
## Random effects:
## Groups Name Variance Std.Dev.
## record_id (Intercept) 112.67 10.615
## Residual 42.42 6.513
## Number of obs: 28, groups: record_id, 16
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 57.6601 4.6694 15.6624 12.349 1.75e-09 ***
## vin3_exact_age -1.5518 0.3597 17.6661 -4.314 0.000435 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## vin3_exct_g -0.772
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: vin3_personal_vscale_score ~ vin3_exact_age + (1 | record_id)
## Data: nhs
##
## REML criterion at convergence: 117.3
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.1039 -0.5856 -0.2424 0.3864 2.1737
##
## Random effects:
## Groups Name Variance Std.Dev.
## record_id (Intercept) 0.5566 0.7461
## Residual 3.0392 1.7433
## Number of obs: 28, groups: record_id, 16
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 3.12542 0.62119 14.97061 5.031 0.00015 ***
## vin3_exact_age -0.11379 0.04714 12.62733 -2.414 0.03177 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## vin3_exct_g -0.785
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: vin3_personal_growth_scale ~ vin3_exact_age + (1 | record_id)
## Data: nhs
##
## REML criterion at convergence: 224.8
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.3554 -0.4106 0.1826 0.3723 1.1008
##
## Random effects:
## Groups Name Variance Std.Dev.
## record_id (Intercept) 425.54 20.629
## Residual 53.16 7.291
## Number of obs: 28, groups: record_id, 16
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 73.964 7.837 20.968 9.437 5.37e-09 ***
## vin3_exact_age 1.433 0.572 25.628 2.506 0.0189 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## vin3_exct_g -0.728
Socialization
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: vin3_social_score ~ vin3_exact_age + (1 | record_id)
## Data: nhs
##
## REML criterion at convergence: 219.5
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.23201 -0.67268 -0.08367 0.50914 1.59188
##
## Random effects:
## Groups Name Variance Std.Dev.
## record_id (Intercept) 110.1 10.49
## Residual 104.9 10.24
## Number of obs: 28, groups: record_id, 16
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 67.7947 5.3654 11.8744 12.636 3.04e-08 ***
## vin3_exact_age -1.8384 0.4163 11.5138 -4.416 0.000929 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## vin3_exct_g -0.784
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: vin3_interper_vscale_score ~ vin3_exact_age + (1 | record_id)
## Data: nhs
##
## REML criterion at convergence: 144.3
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.4063 -0.8358 0.1612 0.4982 1.8864
##
## Random effects:
## Groups Name Variance Std.Dev.
## record_id (Intercept) 1.376 1.173
## Residual 8.742 2.957
## Number of obs: 28, groups: record_id, 16
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 8.66433 1.03364 8.90862 8.382 1.62e-05 ***
## vin3_exact_age -0.28798 0.07828 6.84679 -3.679 0.00819 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## vin3_exct_g -0.785
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: vin3_interper_growth_scale ~ vin3_exact_age + (1 | record_id)
## Data: nhs
##
## REML criterion at convergence: 221
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.3323 -0.5999 -0.0098 0.4966 1.5570
##
## Random effects:
## Groups Name Variance Std.Dev.
## record_id (Intercept) 265.43 16.292
## Residual 62.79 7.924
## Number of obs: 28, groups: record_id, 16
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 84.1600 6.7340 18.8530 12.498 1.44e-10 ***
## vin3_exact_age -0.3364 0.5112 22.1393 -0.658 0.517
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## vin3_exct_g -0.759
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: vin3_playleis_vscale_score ~ vin3_exact_age + (1 | record_id)
## Data: nhs
##
## REML criterion at convergence: 146.6
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.2670 -0.7010 -0.1264 0.5227 1.9563
##
## Random effects:
## Groups Name Variance Std.Dev.
## record_id (Intercept) 4.659 2.158
## Residual 7.413 2.723
## Number of obs: 28, groups: record_id, 16
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 7.56412 1.23316 12.71339 6.134 3.94e-05 ***
## vin3_exact_age -0.28031 0.09528 11.55625 -2.942 0.0128 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## vin3_exct_g -0.786
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: vin3_playleis_growth_scale ~ vin3_exact_age + (1 | record_id)
## Data: nhs
##
## REML criterion at convergence: 216.9
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.6268 -0.4280 0.1104 0.3449 1.8862
##
## Random effects:
## Groups Name Variance Std.Dev.
## record_id (Intercept) 389.86 19.745
## Residual 30.96 5.564
## Number of obs: 28, groups: record_id, 16
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 72.0958 7.0469 22.4679 10.231 6.37e-10 ***
## vin3_exact_age 0.3083 0.4912 25.6628 0.628 0.536
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## vin3_exct_g -0.695