Untitled
Dan Leibel
4/16/2019
Run the fully adjusted models with all interactions first
mer4 = zMixBulk(Diss, DigitSpanFwd_valid + DigitSpanBck_valid + LogTrailsA + LogTrailsB + FluencyWord_valid + BVRtot_valid + CVLtca_valid + CVLfrl_valid + CVLfrs_valid ~ (TeloChange+Race+PovStat+cenAge)^4 + cenTeloBL + Sex + cenEducnum + (1|HNDid), control=lmerControl(check.nobs.vs.nRE="ignore"))
merPrint(mer4)## DigitSpanFwd_valid
## (Intercept) 7.89***
## TeloChange 0.04
## RaceAfrAm -0.93**
## PovStatBelow -0.28
## cenAge -0.02
## cenTeloBL 0.12
## SexMen -0.11
## cenEducnum 0.18***
## TeloChange:RaceAfrAm -0.01
## TeloChange:PovStatBelow 0.25
## TeloChange:cenAge -0.01
## RaceAfrAm:PovStatBelow 0.34
## RaceAfrAm:cenAge -0.04
## PovStatBelow:cenAge 0.03
## TeloChange:RaceAfrAm:PovStatBelow -0.92
## TeloChange:RaceAfrAm:cenAge 0.02
## TeloChange:PovStatBelow:cenAge -0.00
## RaceAfrAm:PovStatBelow:cenAge 0.03
## TeloChange:RaceAfrAm:PovStatBelow:cenAge 0.06
## DigitSpanBck_valid LogTrailsA
## (Intercept) 6.24*** 3.30***
## TeloChange 0.80* -0.04
## RaceAfrAm -0.92** 0.22***
## PovStatBelow -0.21 0.10
## cenAge -0.01 0.01*
## cenTeloBL 0.17 -0.00
## SexMen -0.07 0.07
## cenEducnum 0.22*** -0.03**
## TeloChange:RaceAfrAm -0.72 0.06
## TeloChange:PovStatBelow -1.14** 0.05
## TeloChange:cenAge -0.00 -0.00
## RaceAfrAm:PovStatBelow 0.34 0.03
## RaceAfrAm:cenAge -0.03 -0.00
## PovStatBelow:cenAge -0.01 -0.00
## TeloChange:RaceAfrAm:PovStatBelow 1.11 -0.20
## TeloChange:RaceAfrAm:cenAge 0.07 -0.00
## TeloChange:PovStatBelow:cenAge 0.08 -0.01
## RaceAfrAm:PovStatBelow:cenAge 0.04 0.01
## TeloChange:RaceAfrAm:PovStatBelow:cenAge -0.19** 0.02
## LogTrailsB FluencyWord_valid
## (Intercept) 4.45*** 19.24***
## TeloChange -0.08 -0.01
## RaceAfrAm 0.38*** -1.62*
## PovStatBelow 0.14 0.27
## cenAge 0.01 -0.14**
## cenTeloBL -0.04 -0.01
## SexMen 0.03 0.94
## cenEducnum -0.09*** 0.62***
## TeloChange:RaceAfrAm 0.11 0.72
## TeloChange:PovStatBelow 0.13 -0.69
## TeloChange:cenAge -0.00 0.12
## RaceAfrAm:PovStatBelow 0.08 -0.13
## RaceAfrAm:cenAge 0.00 0.01
## PovStatBelow:cenAge -0.01 0.13
## TeloChange:RaceAfrAm:PovStatBelow -0.42* 0.19
## TeloChange:RaceAfrAm:cenAge -0.00 0.02
## TeloChange:PovStatBelow:cenAge -0.01 -0.10
## RaceAfrAm:PovStatBelow:cenAge 0.02 -0.07
## TeloChange:RaceAfrAm:PovStatBelow:cenAge 0.01 -0.01
## BVRtot_valid CVLtca_valid
## (Intercept) 7.02*** 23.93***
## TeloChange -1.00 0.49
## RaceAfrAm 1.57* -2.95**
## PovStatBelow 1.19 -0.35
## cenAge 0.22*** -0.41***
## cenTeloBL -0.21 -1.64**
## SexMen -1.59** -1.90**
## cenEducnum -0.50*** 0.64***
## TeloChange:RaceAfrAm 0.22 -0.45
## TeloChange:PovStatBelow 0.83 -1.63
## TeloChange:cenAge 0.02 0.19
## RaceAfrAm:PovStatBelow -1.04 0.68
## RaceAfrAm:cenAge -0.03 0.20*
## PovStatBelow:cenAge -0.11 0.09
## TeloChange:RaceAfrAm:PovStatBelow -1.83 2.17
## TeloChange:RaceAfrAm:cenAge -0.05 -0.08
## TeloChange:PovStatBelow:cenAge 0.01 -0.10
## RaceAfrAm:PovStatBelow:cenAge 0.16 -0.20
## TeloChange:RaceAfrAm:PovStatBelow:cenAge 0.06 -0.10
## CVLfrl_valid CVLfrs_valid
## (Intercept) 7.42*** 7.50***
## TeloChange 0.44 0.39
## RaceAfrAm -1.74*** -1.70***
## PovStatBelow -0.07 -0.41
## cenAge -0.16*** -0.16***
## cenTeloBL -0.32 -0.45*
## SexMen -0.78* -0.55
## cenEducnum 0.19*** 0.20***
## TeloChange:RaceAfrAm -0.94 -0.05
## TeloChange:PovStatBelow -0.94 -0.88
## TeloChange:cenAge 0.17** 0.13*
## RaceAfrAm:PovStatBelow 0.35 0.44
## RaceAfrAm:cenAge 0.04 0.06
## PovStatBelow:cenAge 0.03 0.04
## TeloChange:RaceAfrAm:PovStatBelow 2.37* 0.61
## TeloChange:RaceAfrAm:cenAge -0.21** -0.16
## TeloChange:PovStatBelow:cenAge -0.11 -0.12
## RaceAfrAm:PovStatBelow:cenAge -0.03 -0.06
## TeloChange:RaceAfrAm:PovStatBelow:cenAge 0.13 0.15
##
##
## *********************** 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: 2446.7
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.46358 -0.50755 -0.03738 0.49265 2.85604
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 3.027 1.74
## Residual 1.464 1.21
## Number of obs: 592, groups: HNDid, 323
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 7.888548 0.251757 305.642850
## TeloChange 0.036415 0.325665 350.070227
## RaceAfrAm -0.934543 0.311524 303.610015
## PovStatBelow -0.276685 0.325153 301.327111
## cenAge -0.024741 0.022193 455.959094
## cenTeloBL 0.124061 0.163514 341.619789
## SexMen -0.108976 0.223862 303.189951
## cenEducnum 0.179751 0.041115 304.123381
## TeloChange:RaceAfrAm -0.012191 0.438813 366.860853
## TeloChange:PovStatBelow 0.253010 0.401780 359.547844
## TeloChange:cenAge -0.012063 0.033347 361.075313
## RaceAfrAm:PovStatBelow 0.343273 0.440356 301.919817
## RaceAfrAm:cenAge -0.038583 0.029374 449.442202
## PovStatBelow:cenAge 0.025862 0.032520 496.584500
## TeloChange:RaceAfrAm:PovStatBelow -0.923631 0.580608 361.870684
## TeloChange:RaceAfrAm:cenAge 0.017484 0.046207 365.453063
## TeloChange:PovStatBelow:cenAge -0.003356 0.044850 361.157496
## RaceAfrAm:PovStatBelow:cenAge 0.029287 0.043094 481.674085
## TeloChange:RaceAfrAm:PovStatBelow:cenAge 0.059985 0.061109 362.314378
## t value Pr(>|t|)
## (Intercept) 31.334 < 2e-16 ***
## TeloChange 0.112 0.91103
## RaceAfrAm -3.000 0.00292 **
## PovStatBelow -0.851 0.39548
## cenAge -1.115 0.26552
## cenTeloBL 0.759 0.44855
## SexMen -0.487 0.62675
## cenEducnum 4.372 1.69e-05 ***
## TeloChange:RaceAfrAm -0.028 0.97785
## TeloChange:PovStatBelow 0.630 0.52928
## TeloChange:cenAge -0.362 0.71774
## RaceAfrAm:PovStatBelow 0.780 0.43627
## RaceAfrAm:cenAge -1.314 0.18968
## PovStatBelow:cenAge 0.795 0.42683
## TeloChange:RaceAfrAm:PovStatBelow -1.591 0.11253
## TeloChange:RaceAfrAm:cenAge 0.378 0.70537
## TeloChange:PovStatBelow:cenAge -0.075 0.94039
## RaceAfrAm:PovStatBelow:cenAge 0.680 0.49708
## TeloChange:RaceAfrAm:PovStatBelow:cenAge 0.982 0.32694
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## *********************** 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: 2472.5
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.8376 -0.4646 -0.0614 0.4473 3.2171
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 2.666 1.633
## Residual 1.744 1.321
## Number of obs: 591, groups: HNDid, 324
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 6.242941 0.245127 312.237331
## TeloChange 0.801407 0.348476 379.952492
## RaceAfrAm -0.918846 0.303294 309.825998
## PovStatBelow -0.208451 0.316421 307.239038
## cenAge -0.005854 0.022089 433.493161
## cenTeloBL 0.165644 0.160012 355.246423
## SexMen -0.065253 0.217560 310.388820
## cenEducnum 0.218105 0.040038 310.260974
## TeloChange:RaceAfrAm -0.723428 0.467391 396.196851
## TeloChange:PovStatBelow -1.142376 0.429210 391.627297
## TeloChange:cenAge -0.002218 0.035615 393.131857
## RaceAfrAm:PovStatBelow 0.339029 0.428295 308.936415
## RaceAfrAm:cenAge -0.029076 0.029241 426.451363
## PovStatBelow:cenAge -0.005229 0.032562 470.164098
## TeloChange:RaceAfrAm:PovStatBelow 1.105969 0.622456 396.531162
## TeloChange:RaceAfrAm:cenAge 0.071961 0.049189 393.335813
## TeloChange:PovStatBelow:cenAge 0.084606 0.047901 392.735725
## RaceAfrAm:PovStatBelow:cenAge 0.043019 0.043191 456.902886
## TeloChange:RaceAfrAm:PovStatBelow:cenAge -0.189478 0.065370 396.101315
## t value Pr(>|t|)
## (Intercept) 25.468 < 2e-16 ***
## TeloChange 2.300 0.02200 *
## RaceAfrAm -3.030 0.00266 **
## PovStatBelow -0.659 0.51053
## cenAge -0.265 0.79113
## cenTeloBL 1.035 0.30128
## SexMen -0.300 0.76443
## cenEducnum 5.447 1.04e-07 ***
## TeloChange:RaceAfrAm -1.548 0.12247
## TeloChange:PovStatBelow -2.662 0.00810 **
## TeloChange:cenAge -0.062 0.95037
## RaceAfrAm:PovStatBelow 0.792 0.42921
## RaceAfrAm:cenAge -0.994 0.32061
## PovStatBelow:cenAge -0.161 0.87248
## TeloChange:RaceAfrAm:PovStatBelow 1.777 0.07637 .
## TeloChange:RaceAfrAm:cenAge 1.463 0.14428
## TeloChange:PovStatBelow:cenAge 1.766 0.07813 .
## RaceAfrAm:PovStatBelow:cenAge 0.996 0.31977
## TeloChange:RaceAfrAm:PovStatBelow:cenAge -2.899 0.00396 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## *********************** 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: 804.7
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.7362 -0.4561 -0.0640 0.3428 6.2108
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 0.08944 0.2991
## Residual 0.11425 0.3380
## Number of obs: 617, groups: HNDid, 325
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 3.302e+00 4.960e-02 2.773e+02
## TeloChange -3.584e-02 8.105e-02 4.540e+02
## RaceAfrAm 2.176e-01 6.151e-02 2.790e+02
## PovStatBelow 9.732e-02 6.406e-02 2.773e+02
## cenAge 1.000e-02 4.653e-03 3.768e+02
## cenTeloBL -1.015e-03 3.291e-02 3.446e+02
## SexMen 7.095e-02 4.418e-02 2.803e+02
## cenEducnum -2.656e-02 8.103e-03 2.755e+02
## TeloChange:RaceAfrAm 5.772e-02 1.069e-01 4.799e+02
## TeloChange:PovStatBelow 5.328e-02 1.005e-01 4.754e+02
## TeloChange:cenAge -1.631e-03 8.532e-03 4.753e+02
## RaceAfrAm:PovStatBelow 3.316e-02 8.684e-02 2.790e+02
## RaceAfrAm:cenAge -3.096e-03 6.132e-03 3.689e+02
## PovStatBelow:cenAge -2.874e-04 6.926e-03 4.102e+02
## TeloChange:RaceAfrAm:PovStatBelow -1.958e-01 1.421e-01 4.749e+02
## TeloChange:RaceAfrAm:cenAge -1.345e-03 1.124e-02 4.766e+02
## TeloChange:PovStatBelow:cenAge -6.736e-03 1.151e-02 4.732e+02
## RaceAfrAm:PovStatBelow:cenAge 6.730e-03 9.126e-03 3.956e+02
## TeloChange:RaceAfrAm:PovStatBelow:cenAge 2.151e-02 1.508e-02 4.720e+02
## t value Pr(>|t|)
## (Intercept) 66.580 < 2e-16 ***
## TeloChange -0.442 0.658574
## RaceAfrAm 3.538 0.000472 ***
## PovStatBelow 1.519 0.129830
## cenAge 2.150 0.032202 *
## cenTeloBL -0.031 0.975405
## SexMen 1.606 0.109398
## cenEducnum -3.278 0.001180 **
## TeloChange:RaceAfrAm 0.540 0.589450
## TeloChange:PovStatBelow 0.530 0.596243
## TeloChange:cenAge -0.191 0.848503
## RaceAfrAm:PovStatBelow 0.382 0.702892
## RaceAfrAm:cenAge -0.505 0.613963
## PovStatBelow:cenAge -0.041 0.966921
## TeloChange:RaceAfrAm:PovStatBelow -1.377 0.169080
## TeloChange:RaceAfrAm:cenAge -0.120 0.904821
## TeloChange:PovStatBelow:cenAge -0.585 0.558750
## RaceAfrAm:PovStatBelow:cenAge 0.737 0.461324
## TeloChange:RaceAfrAm:PovStatBelow:cenAge 1.426 0.154390
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## *********************** 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: 1243.5
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.77449 -0.44899 -0.06442 0.37572 2.79308
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 0.3402 0.5833
## Residual 0.1685 0.4105
## Number of obs: 617, groups: HNDid, 325
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 4.453e+00 8.391e-02 3.027e+02
## TeloChange -7.692e-02 1.054e-01 3.788e+02
## RaceAfrAm 3.793e-01 1.040e-01 3.039e+02
## PovStatBelow 1.442e-01 1.084e-01 3.025e+02
## cenAge 1.355e-02 7.413e-03 4.750e+02
## cenTeloBL -4.448e-02 5.416e-02 3.488e+02
## SexMen 2.610e-02 7.464e-02 3.049e+02
## cenEducnum -9.103e-02 1.371e-02 3.030e+02
## TeloChange:RaceAfrAm 1.101e-01 1.403e-01 3.966e+02
## TeloChange:PovStatBelow 1.321e-01 1.316e-01 3.916e+02
## TeloChange:cenAge -9.558e-04 1.117e-02 3.917e+02
## RaceAfrAm:PovStatBelow 7.513e-02 1.468e-01 3.037e+02
## RaceAfrAm:cenAge 3.679e-03 9.800e-03 4.670e+02
## PovStatBelow:cenAge -6.002e-03 1.086e-02 5.169e+02
## TeloChange:RaceAfrAm:PovStatBelow -4.172e-01 1.862e-01 3.929e+02
## TeloChange:RaceAfrAm:cenAge -1.425e-03 1.474e-02 3.937e+02
## TeloChange:PovStatBelow:cenAge -5.742e-03 1.507e-02 3.920e+02
## RaceAfrAm:PovStatBelow:cenAge 2.074e-02 1.440e-02 5.007e+02
## TeloChange:RaceAfrAm:PovStatBelow:cenAge 1.497e-02 1.973e-02 3.915e+02
## t value Pr(>|t|)
## (Intercept) 53.069 < 2e-16 ***
## TeloChange -0.730 0.466086
## RaceAfrAm 3.648 0.000311 ***
## PovStatBelow 1.330 0.184412
## cenAge 1.828 0.068180 .
## cenTeloBL -0.821 0.412051
## SexMen 0.350 0.726769
## cenEducnum -6.638 1.47e-10 ***
## TeloChange:RaceAfrAm 0.785 0.433141
## TeloChange:PovStatBelow 1.003 0.316357
## TeloChange:cenAge -0.086 0.931879
## RaceAfrAm:PovStatBelow 0.512 0.609224
## RaceAfrAm:cenAge 0.375 0.707541
## PovStatBelow:cenAge -0.553 0.580787
## TeloChange:RaceAfrAm:PovStatBelow -2.240 0.025625 *
## TeloChange:RaceAfrAm:cenAge -0.097 0.923032
## TeloChange:PovStatBelow:cenAge -0.381 0.703477
## RaceAfrAm:PovStatBelow:cenAge 1.440 0.150483
## TeloChange:RaceAfrAm:PovStatBelow:cenAge 0.759 0.448439
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## *********************** 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: 3622.7
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.63907 -0.51445 -0.00105 0.48913 2.64454
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 16.051 4.006
## Residual 9.346 3.057
## Number of obs: 620, groups: HNDid, 326
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 19.240394 0.584444 311.101993
## TeloChange -0.007109 0.774635 403.677137
## RaceAfrAm -1.616678 0.723090 311.232788
## PovStatBelow 0.271793 0.755371 312.156456
## cenAge -0.140210 0.052426 463.889721
## cenTeloBL -0.008538 0.381326 363.822953
## SexMen 0.937662 0.520755 313.957358
## cenEducnum 0.619319 0.095853 312.315657
## TeloChange:RaceAfrAm 0.716867 1.027660 418.953636
## TeloChange:PovStatBelow -0.689538 0.970961 422.329096
## TeloChange:cenAge 0.124933 0.082297 417.001645
## RaceAfrAm:PovStatBelow -0.134313 1.024567 313.015893
## RaceAfrAm:cenAge 0.011380 0.069005 456.950784
## PovStatBelow:cenAge 0.126558 0.077091 502.299568
## TeloChange:RaceAfrAm:PovStatBelow 0.193882 1.398048 420.994367
## TeloChange:RaceAfrAm:cenAge 0.021899 0.108069 418.150407
## TeloChange:PovStatBelow:cenAge -0.103774 0.111590 425.894174
## RaceAfrAm:PovStatBelow:cenAge -0.070638 0.102077 488.274330
## TeloChange:RaceAfrAm:PovStatBelow:cenAge -0.014045 0.147433 422.486233
## t value Pr(>|t|)
## (Intercept) 32.921 < 2e-16 ***
## TeloChange -0.009 0.99268
## RaceAfrAm -2.236 0.02607 *
## PovStatBelow 0.360 0.71923
## cenAge -2.674 0.00775 **
## cenTeloBL -0.022 0.98215
## SexMen 1.801 0.07273 .
## cenEducnum 6.461 3.98e-10 ***
## TeloChange:RaceAfrAm 0.698 0.48583
## TeloChange:PovStatBelow -0.710 0.47800
## TeloChange:cenAge 1.518 0.12975
## RaceAfrAm:PovStatBelow -0.131 0.89579
## RaceAfrAm:cenAge 0.165 0.86908
## PovStatBelow:cenAge 1.642 0.10129
## TeloChange:RaceAfrAm:PovStatBelow 0.139 0.88977
## TeloChange:RaceAfrAm:cenAge 0.203 0.83951
## TeloChange:PovStatBelow:cenAge -0.930 0.35292
## RaceAfrAm:PovStatBelow:cenAge -0.692 0.48926
## TeloChange:RaceAfrAm:PovStatBelow:cenAge -0.095 0.92415
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## *********************** 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: 3495.3
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.34195 -0.46408 -0.04078 0.48676 2.58151
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 14.004 3.742
## Residual 7.995 2.828
## Number of obs: 613, groups: HNDid, 326
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 7.01619 0.55133 295.10898
## TeloChange -0.99689 0.74876 379.56972
## RaceAfrAm 1.57336 0.67926 297.89744
## PovStatBelow 1.18708 0.70971 296.30641
## cenAge 0.22114 0.04960 458.93609
## cenTeloBL -0.21271 0.35376 344.07716
## SexMen -1.59484 0.48637 300.79226
## cenEducnum -0.50333 0.08945 297.76781
## TeloChange:RaceAfrAm 0.22255 0.99051 395.42099
## TeloChange:PovStatBelow 0.83165 0.92315 392.37157
## TeloChange:cenAge 0.01615 0.08148 388.29120
## RaceAfrAm:PovStatBelow -1.03877 0.95734 298.57969
## RaceAfrAm:cenAge -0.02946 0.06510 449.70670
## PovStatBelow:cenAge -0.11389 0.07255 495.64312
## TeloChange:RaceAfrAm:PovStatBelow -1.83332 1.32013 392.61262
## TeloChange:RaceAfrAm:cenAge -0.04776 0.10696 391.32004
## TeloChange:PovStatBelow:cenAge 0.01456 0.10694 390.48851
## RaceAfrAm:PovStatBelow:cenAge 0.15681 0.09566 479.87526
## TeloChange:RaceAfrAm:PovStatBelow:cenAge 0.06321 0.14126 390.77657
## t value Pr(>|t|)
## (Intercept) 12.726 < 2e-16 ***
## TeloChange -1.331 0.18386
## RaceAfrAm 2.316 0.02122 *
## PovStatBelow 1.673 0.09546 .
## cenAge 4.458 1.04e-05 ***
## cenTeloBL -0.601 0.54804
## SexMen -3.279 0.00116 **
## cenEducnum -5.627 4.24e-08 ***
## TeloChange:RaceAfrAm 0.225 0.82235
## TeloChange:PovStatBelow 0.901 0.36820
## TeloChange:cenAge 0.198 0.84303
## RaceAfrAm:PovStatBelow -1.085 0.27877
## RaceAfrAm:cenAge -0.453 0.65110
## PovStatBelow:cenAge -1.570 0.11712
## TeloChange:RaceAfrAm:PovStatBelow -1.389 0.16570
## TeloChange:RaceAfrAm:cenAge -0.446 0.65550
## TeloChange:PovStatBelow:cenAge 0.136 0.89181
## RaceAfrAm:PovStatBelow:cenAge 1.639 0.10183
## TeloChange:RaceAfrAm:PovStatBelow:cenAge 0.447 0.65478
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## *********************** 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: 3703.9
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.03153 -0.56559 -0.03761 0.58480 2.32376
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 22.62 4.756
## Residual 25.46 5.046
## Number of obs: 562, groups: HNDid, 321
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 23.93398 0.79600 276.10459
## TeloChange 0.49497 1.26670 442.72580
## RaceAfrAm -2.94514 0.98107 276.16592
## PovStatBelow -0.34885 1.02242 270.37779
## cenAge -0.41285 0.07625 363.76256
## cenTeloBL -1.64206 0.53660 328.37978
## SexMen -1.90191 0.70280 271.72848
## cenEducnum 0.64489 0.12982 275.33788
## TeloChange:RaceAfrAm -0.44960 1.69858 442.60827
## TeloChange:PovStatBelow -1.63362 1.56128 441.89582
## TeloChange:cenAge 0.18844 0.13363 482.45539
## RaceAfrAm:PovStatBelow 0.67962 1.38253 269.87377
## RaceAfrAm:cenAge 0.19664 0.09860 352.16996
## PovStatBelow:cenAge 0.08648 0.11244 398.24757
## TeloChange:RaceAfrAm:PovStatBelow 2.16627 2.26903 425.92636
## TeloChange:RaceAfrAm:cenAge -0.07935 0.18334 455.44346
## TeloChange:PovStatBelow:cenAge -0.09937 0.17944 458.18102
## RaceAfrAm:PovStatBelow:cenAge -0.19793 0.14640 379.75952
## TeloChange:RaceAfrAm:PovStatBelow:cenAge -0.10411 0.24279 438.82950
## t value Pr(>|t|)
## (Intercept) 30.068 < 2e-16 ***
## TeloChange 0.391 0.69617
## RaceAfrAm -3.002 0.00293 **
## PovStatBelow -0.341 0.73322
## cenAge -5.414 1.12e-07 ***
## cenTeloBL -3.060 0.00239 **
## SexMen -2.706 0.00724 **
## cenEducnum 4.967 1.19e-06 ***
## TeloChange:RaceAfrAm -0.265 0.79137
## TeloChange:PovStatBelow -1.046 0.29598
## TeloChange:cenAge 1.410 0.15913
## RaceAfrAm:PovStatBelow 0.492 0.62342
## RaceAfrAm:cenAge 1.994 0.04687 *
## PovStatBelow:cenAge 0.769 0.44230
## TeloChange:RaceAfrAm:PovStatBelow 0.955 0.34026
## TeloChange:RaceAfrAm:cenAge -0.433 0.66534
## TeloChange:PovStatBelow:cenAge -0.554 0.58003
## RaceAfrAm:PovStatBelow:cenAge -1.352 0.17719
## TeloChange:RaceAfrAm:PovStatBelow:cenAge -0.429 0.66827
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## *********************** 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: 2716
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.27298 -0.56293 -0.04836 0.57440 2.34959
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 4.358 2.087
## Residual 4.561 2.136
## Number of obs: 548, groups: HNDid, 318
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 7.41777 0.34891 272.48543
## TeloChange 0.44208 0.54744 417.71864
## RaceAfrAm -1.73644 0.42869 271.01740
## PovStatBelow -0.06754 0.44510 265.61840
## cenAge -0.15997 0.03303 357.36306
## cenTeloBL -0.32470 0.23355 326.21053
## SexMen -0.78490 0.30656 266.72218
## cenEducnum 0.19289 0.05672 269.22731
## TeloChange:RaceAfrAm -0.93819 0.73033 421.04748
## TeloChange:PovStatBelow -0.94225 0.67133 417.41892
## TeloChange:cenAge 0.16770 0.05730 458.86920
## RaceAfrAm:PovStatBelow 0.34581 0.60351 265.36537
## RaceAfrAm:cenAge 0.04075 0.04278 345.61320
## PovStatBelow:cenAge 0.03424 0.04858 392.20653
## TeloChange:RaceAfrAm:PovStatBelow 2.36931 0.97853 404.63569
## TeloChange:RaceAfrAm:cenAge -0.20598 0.07843 431.36260
## TeloChange:PovStatBelow:cenAge -0.10660 0.07675 433.48731
## RaceAfrAm:PovStatBelow:cenAge -0.02592 0.06347 373.65970
## TeloChange:RaceAfrAm:PovStatBelow:cenAge 0.12909 0.10393 414.52183
## t value Pr(>|t|)
## (Intercept) 21.260 < 2e-16 ***
## TeloChange 0.808 0.419813
## RaceAfrAm -4.051 6.68e-05 ***
## PovStatBelow -0.152 0.879511
## cenAge -4.842 1.91e-06 ***
## cenTeloBL -1.390 0.165395
## SexMen -2.560 0.011008 *
## cenEducnum 3.401 0.000774 ***
## TeloChange:RaceAfrAm -1.285 0.199637
## TeloChange:PovStatBelow -1.404 0.161197
## TeloChange:cenAge 2.927 0.003598 **
## RaceAfrAm:PovStatBelow 0.573 0.567130
## RaceAfrAm:cenAge 0.953 0.341481
## PovStatBelow:cenAge 0.705 0.481270
## TeloChange:RaceAfrAm:PovStatBelow 2.421 0.015905 *
## TeloChange:RaceAfrAm:cenAge -2.626 0.008937 **
## TeloChange:PovStatBelow:cenAge -1.389 0.165596
## RaceAfrAm:PovStatBelow:cenAge -0.408 0.683209
## TeloChange:RaceAfrAm:PovStatBelow:cenAge 1.242 0.214913
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## *********************** 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: 2734.4
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.40591 -0.57612 0.02151 0.51900 2.63187
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 3.638 1.907
## Residual 4.973 2.230
## Number of obs: 552, groups: HNDid, 320
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 7.50221 0.33393 289.57855
## TeloChange 0.39395 0.55033 454.76075
## RaceAfrAm -1.70364 0.41252 289.37992
## PovStatBelow -0.40585 0.42775 281.82741
## cenAge -0.16462 0.03208 366.18223
## cenTeloBL -0.45046 0.22586 342.13164
## SexMen -0.54990 0.29510 286.07825
## cenEducnum 0.20342 0.05466 289.70701
## TeloChange:RaceAfrAm -0.04760 0.73825 461.98426
## TeloChange:PovStatBelow -0.88184 0.67759 455.76103
## TeloChange:cenAge 0.13495 0.05785 487.85964
## RaceAfrAm:PovStatBelow 0.43811 0.58062 283.58981
## RaceAfrAm:cenAge 0.06031 0.04150 353.31986
## PovStatBelow:cenAge 0.03570 0.04742 394.10231
## TeloChange:RaceAfrAm:PovStatBelow 0.61147 0.99139 446.46941
## TeloChange:RaceAfrAm:cenAge -0.15545 0.07946 467.25905
## TeloChange:PovStatBelow:cenAge -0.11736 0.07773 468.85353
## RaceAfrAm:PovStatBelow:cenAge -0.05838 0.06179 375.02598
## TeloChange:RaceAfrAm:PovStatBelow:cenAge 0.15340 0.10544 453.44549
## t value Pr(>|t|)
## (Intercept) 22.467 < 2e-16 ***
## TeloChange 0.716 0.474454
## RaceAfrAm -4.130 4.75e-05 ***
## PovStatBelow -0.949 0.343530
## cenAge -5.131 4.69e-07 ***
## cenTeloBL -1.994 0.046904 *
## SexMen -1.863 0.063427 .
## cenEducnum 3.722 0.000238 ***
## TeloChange:RaceAfrAm -0.064 0.948621
## TeloChange:PovStatBelow -1.301 0.193768
## TeloChange:cenAge 2.333 0.020069 *
## RaceAfrAm:PovStatBelow 0.755 0.451139
## RaceAfrAm:cenAge 1.453 0.147067
## PovStatBelow:cenAge 0.753 0.452018
## TeloChange:RaceAfrAm:PovStatBelow 0.617 0.537693
## TeloChange:RaceAfrAm:cenAge -1.956 0.051011 .
## TeloChange:PovStatBelow:cenAge -1.510 0.131769
## RaceAfrAm:PovStatBelow:cenAge -0.945 0.345419
## TeloChange:RaceAfrAm:PovStatBelow:cenAge 1.455 0.146402
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 14-way interaction of ∆TL x Race x Poverty Status x Age was significant.
Simple slopes analyses revealed that TL shortening predicted decline in DSB performance for African Americans living above poverty (not shown here)
Plot the effect at mean ± 1 SD of ∆TL Change 
