New analyses with age as a random effect
## boundary (singular) fit: see ?isSingular## Warning: Model failed to converge with 1 negative eigenvalue: -9.9e+01## boundary (singular) fit: see ?isSingular## Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl =
## control$checkConv, : Model failed to converge with max|grad| = 0.00455748
## (tol = 0.002, component 1)## DigitSpanFwd_valid DigitSpanBck_valid LogTrailsA LogTrailsB
## (Intercept) 7.20*** 5.54*** 3.52*** 4.73***
## cenAge -0.20*** -0.20*** 0.13*** 0.20***
## FluencyWord_valid BVRtot_valid LogBVR CVLtca_valid
## (Intercept) 18.85*** 7.60*** 1.90*** 21.76***
## cenAge -0.50*** 1.82*** 0.25*** -2.56***
## CVLfrl_valid CVLfrs_valid Attention_valid
## (Intercept) 6.36*** 6.30*** 6.49***
## cenAge -1.14*** -1.15*** -0.28***
##
##
## *********************** DigitSpanFwd_valid ***********************
##
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: as.formula(merForm)
## Data: dat
## Control: ..1
##
## REML criterion at convergence: 17000
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.27101 -0.47468 -0.07057 0.43131 2.87458
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 3.324307 1.82327
## cenAge 0.003145 0.05608 -1.00
## Residual 1.507108 1.22764
## Number of obs: 4060, groups: HNDid, 2630
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 7.20007 0.04096 2573.87120 175.803 < 2e-16 ***
## cenAge -0.19775 0.04033 3501.45636 -4.903 9.85e-07 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## cenAge -0.092
## convergence code: 0
## boundary (singular) fit: see ?isSingular
##
##
##
## *********************** DigitSpanBck_valid ***********************
##
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: as.formula(merForm)
## Data: dat
## Control: ..1
##
## REML criterion at convergence: 16824.9
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.2970 -0.4151 -0.0695 0.4215 3.8958
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 3.0870 1.7570
## cenAge 0.1802 0.4245 -0.25
## Residual 1.4872 1.2195
## Number of obs: 4035, groups: HNDid, 2620
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 5.53515 0.04057 2517.68699 136.448 <2e-16 ***
## cenAge -0.20071 0.04086 1420.85383 -4.913 1e-06 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## cenAge -0.127
##
##
## *********************** LogTrailsA ***********************
##
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: as.formula(merForm)
## Data: dat
## Control: ..1
##
## REML criterion at convergence: 4739.5
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.8326 -0.4301 -0.0601 0.3454 7.1800
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 0.09705 0.3115
## cenAge 0.01726 0.1314 0.52
## Residual 0.09110 0.3018
## Number of obs: 4273, groups: HNDid, 2674
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 3.519e+00 7.968e-03 2.471e+03 441.66 <2e-16 ***
## cenAge 1.327e-01 8.337e-03 1.366e+03 15.91 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## cenAge 0.147
##
##
## *********************** LogTrailsB ***********************
##
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: as.formula(merForm)
## Data: dat
## Control: ..1
##
## REML criterion at convergence: 8577.3
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.2003 -0.4147 -0.1014 0.3382 3.3586
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 0.411170 0.64123
## cenAge 0.004659 0.06826 0.81
## Residual 0.160225 0.40028
## Number of obs: 4259, groups: HNDid, 2667
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 4.727e+00 1.400e-02 2.629e+03 337.69 <2e-16 ***
## cenAge 2.050e-01 1.353e-02 1.498e+03 15.15 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## cenAge 0.067
##
##
## *********************** FluencyWord_valid ***********************
##
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: as.formula(merForm)
## Data: dat
## Control: ..1
##
## REML criterion at convergence: 25553.6
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.1691 -0.5005 -0.0384 0.4437 3.0079
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 19.4902 4.4148
## cenAge 0.1065 0.3263 -1.00
## Residual 8.9769 2.9962
## Number of obs: 4299, groups: HNDid, 2683
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 18.84861 0.09828 2584.40370 191.793 < 2e-16 ***
## cenAge -0.50355 0.09595 3669.32017 -5.248 1.62e-07 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## cenAge -0.167
##
##
## *********************** BVRtot_valid ***********************
##
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: as.formula(merForm)
## Data: dat
## Control: ..1
##
## REML criterion at convergence: 24882.9
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.9305 -0.4839 -0.0672 0.4407 4.5772
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 14.23850 3.7734
## cenAge 0.08383 0.2895 1.00
## Residual 10.75782 3.2799
## Number of obs: 4206, groups: HNDid, 2656
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 7.596e+00 9.014e-02 2.534e+03 84.28 <2e-16 ***
## cenAge 1.818e+00 9.101e-02 3.246e+03 19.98 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## cenAge 0.037
##
##
## *********************** LogBVR ***********************
##
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: as.formula(merForm)
## Data: dat
## Control: ..1
##
## REML criterion at convergence: 9260.2
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.2326 -0.3381 0.1456 0.5298 2.4517
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 0.2277 0.47713
## cenAge 0.0094 0.09696 -1.00
## Residual 0.3394 0.58261
## Number of obs: 4206, groups: HNDid, 2656
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 1.903e+00 1.327e-02 2.230e+03 143.45 <2e-16 ***
## cenAge 2.466e-01 1.364e-02 3.046e+03 18.07 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## cenAge -0.244
## convergence code: 0
## boundary (singular) fit: see ?isSingular
##
##
##
## *********************** CVLtca_valid ***********************
##
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: as.formula(merForm)
## Data: dat
## Control: ..1
##
## REML criterion at convergence: 24987
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.70678 -0.54027 -0.00386 0.54873 2.42110
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 24.8225 4.9822
## cenAge 0.2885 0.5371 -0.45
## Residual 24.5924 4.9591
## Number of obs: 3761, groups: HNDid, 2526
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 21.7575 0.1308 2282.0676 166.35 <2e-16 ***
## cenAge -2.5637 0.1347 1294.8635 -19.03 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## cenAge -0.131
##
##
## *********************** CVLfrl_valid ***********************
##
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: as.formula(merForm)
## Data: dat
## Control: ..1
##
## REML criterion at convergence: 18346.6
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.63009 -0.53029 -0.02362 0.51556 2.46424
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 5.444922 2.33344
## cenAge 0.007234 0.08505 -1.00
## Residual 4.188388 2.04656
## Number of obs: 3686, groups: HNDid, 2491
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 6.3616 0.0587 2292.5111 108.38 <2e-16 ***
## cenAge -1.1364 0.0599 2948.3400 -18.97 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## cenAge -0.119
##
##
## *********************** CVLfrs_valid ***********************
##
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: as.formula(merForm)
## Data: dat
## Control: ..1
##
## REML criterion at convergence: 18344.7
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.63895 -0.53852 -0.01721 0.50775 2.48856
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 5.1394 2.2670
## cenAge 0.1258 0.3547 -0.22
## Residual 4.1682 2.0416
## Number of obs: 3699, groups: HNDid, 2499
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 6.29953 0.05781 2311.67180 108.97 <2e-16 ***
## cenAge -1.15037 0.05952 1293.72030 -19.33 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## cenAge -0.114
## convergence code: 0
## Model failed to converge with max|grad| = 0.00455748 (tol = 0.002, component 1)
##
##
##
## *********************** Attention_valid ***********************
##
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: as.formula(merForm)
## Data: dat
## Control: ..1
##
## REML criterion at convergence: 15891.9
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.2013 -0.5029 0.0275 0.5181 3.0115
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 2.6248 1.6201
## cenAge 0.1594 0.3992 0.16
## Residual 1.9930 1.4117
## Number of obs: 3725, groups: HNDid, 2487
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 6.48694 0.04112 2401.64948 157.774 < 2e-16 ***
## cenAge -0.27837 0.04235 1399.01461 -6.573 6.93e-11 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## cenAge -0.028