Trail Making Test Part A (Model 1)
#load data file
load(file="/Users/meganwilliams/Desktop/Neighborhood and Cognitive Function/Data/TrailsA.Rda")
#run simple model
TMTA = lmer(TrailsAtestSec~age + PhysDisorder + CollectEfficacy + PovStat + Sex + Race + (1|HNDid) + age*PhysDisorder + age*CollectEfficacy, data=TrailsA)
#summary of results
summary(TMTA)
## Linear mixed model fit by REML t-tests use Satterthwaite approximations
## to degrees of freedom [lmerMod]
## Formula:
## TrailsAtestSec ~ age + PhysDisorder + CollectEfficacy + PovStat +
## Sex + Race + (1 | HNDid) + age * PhysDisorder + age * CollectEfficacy
## Data: TrailsA
##
## REML criterion at convergence: 37696.7
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.3483481 -0.2298424 -0.1036433 0.0399552 10.9708224
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 447.6392 21.15749
## Residual 1938.4845 44.02822
## Number of obs: 3557, groups: HNDid, 2243
##
## Fixed effects:
## Estimate Std. Error df t value
## (Intercept) 30.32948204 6.22503272 3278.66300000 4.87218
## age 0.78195857 0.64066739 3416.30000000 1.22054
## PhysDisorder -0.82962691 0.94073660 3310.99200000 -0.88189
## CollectEfficacy 0.23267934 1.22228217 3337.97600000 0.19036
## PovStatBelow 5.66640342 1.84257872 1406.74700000 3.07526
## SexMen 6.42634037 1.77013566 1343.80000000 3.63042
## RaceAfrAm 8.95653861 1.80484989 1322.15300000 4.96248
## age:PhysDisorder -0.15850957 0.10117793 3386.02400000 -1.56664
## age:CollectEfficacy 0.05119441 0.12979779 3387.17500000 0.39442
## Pr(>|t|)
## (Intercept) 1.1561e-06
## age 0.22234542
## PhysDisorder 0.37789991
## CollectEfficacy 0.84903496
## PovStatBelow 0.00214373
## SexMen 0.00029359
## RaceAfrAm 7.8656e-07
## age:PhysDisorder 0.11729188
## age:CollectEfficacy 0.69329828
##
## Correlation of Fixed Effects:
## (Intr) age PhysDs CllctE PvSttB SexMen RcAfrA ag:PhD
## age 0.028
## PhysDisordr -0.788 -0.025
## CllctEffccy -0.899 -0.017 0.555
## PovStatBelw -0.088 -0.025 -0.102 0.056
## SexMen -0.105 -0.043 -0.025 -0.012 0.056
## RaceAfrAm -0.201 0.016 0.099 0.012 -0.162 -0.013
## ag:PhysDsrd -0.034 -0.815 0.052 0.018 0.031 0.027 -0.007
## ag:CllctEff -0.021 -0.923 0.012 0.006 0.028 0.047 -0.013 0.566
Trail Making Test Part A (Model 2)
#load data file
load(file="/Users/meganwilliams/Desktop/Neighborhood and Cognitive Function/Data/TrailsA.Rda")
TMTA = lmer(TrailsAtestSec~(age + PhysDisorder + CollectEfficacy)^3 + PovStat + Sex + Race + (1|HNDid), data=TrailsA)
#summary of results
summary(TMTA)
## Linear mixed model fit by REML t-tests use Satterthwaite approximations
## to degrees of freedom [lmerMod]
## Formula:
## TrailsAtestSec ~ (age + PhysDisorder + CollectEfficacy)^3 + PovStat +
## Sex + Race + (1 | HNDid)
## Data: TrailsA
##
## REML criterion at convergence: 37690.6
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.4498401 -0.2272082 -0.1021342 0.0397379 10.9765755
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 462.5301 21.50651
## Residual 1922.3026 43.84407
## Number of obs: 3557, groups: HNDid, 2243
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 10.9298093 11.7103577 3505.6790000
## age -1.0722984 1.1963679 3544.1490000
## PhysDisorder 5.4189473 3.2510370 3535.4600000
## CollectEfficacy 5.6505151 3.0354997 3520.7110000
## PovStatBelow 5.7737866 1.8461086 1408.8160000
## SexMen 6.4045297 1.7736139 1345.7050000
## RaceAfrAm 9.0786472 1.8097527 1328.5680000
## age:PhysDisorder 0.4628421 0.3448546 3539.2800000
## age:CollectEfficacy 0.5757856 0.3156785 3544.1560000
## PhysDisorder:CollectEfficacy -1.8434467 0.9232910 3536.5390000
## age:PhysDisorder:CollectEfficacy -0.1854274 0.0990001 3540.8440000
## t value Pr(>|t|)
## (Intercept) 0.93335 0.35070590
## age -0.89629 0.37015619
## PhysDisorder 1.66684 0.09563548
## CollectEfficacy 1.86148 0.06276002
## PovStatBelow 3.12754 0.00179882
## SexMen 3.61101 0.00031622
## RaceAfrAm 5.01651 5.9739e-07
## age:PhysDisorder 1.34214 0.17963761
## age:CollectEfficacy 1.82396 0.06824199
## PhysDisorder:CollectEfficacy -1.99660 0.04594473
## age:PhysDisorder:CollectEfficacy -1.87300 0.06115044
##
## Correlation of Fixed Effects:
## (Intr) age PhysDs CllctE PvSttB SexMen RcAfrA ag:PhD ag:ClE
## age 0.000
## PhysDisordr -0.932 -0.019
## CllctEffccy -0.968 0.007 0.940
## PovStatBelw -0.071 -0.012 -0.002 0.048
## SexMen -0.069 -0.004 0.006 0.009 0.057
## RaceAfrAm -0.145 0.020 0.071 0.046 -0.161 -0.012
## ag:PhysDsrd -0.018 -0.935 0.045 0.013 0.008 -0.013 -0.013
## ag:CllctEff 0.009 -0.973 0.011 -0.016 0.010 -0.001 -0.018 0.939
## PhysDsrd:CE 0.847 0.011 -0.957 -0.915 -0.028 -0.015 -0.044 -0.037 -0.005
## ag:PhysD:CE 0.007 0.845 -0.036 -0.005 0.001 0.022 0.012 -0.956 -0.911
## PhD:CE
## age
## PhysDisordr
## CllctEffccy
## PovStatBelw
## SexMen
## RaceAfrAm
## ag:PhysDsrd
## ag:CllctEff
## PhysDsrd:CE
## ag:PhysD:CE 0.031
Trail Making Test Part B (Model 1)
#load data file
load(file="/Users/meganwilliams/Desktop/Neighborhood and Cognitive Function/Data/TrailsB.Rda")
#Run regression model
TMTB = lmer(TrailsBtestSec~age + PhysDisorder + CollectEfficacy + PovStat + Sex + Race + (1|HNDid) + age*PhysDisorder + age*CollectEfficacy,data=TrailsB)
#Summary of results
summary(TMTB)
## Linear mixed model fit by REML t-tests use Satterthwaite approximations
## to degrees of freedom [lmerMod]
## Formula:
## TrailsBtestSec ~ age + PhysDisorder + CollectEfficacy + PovStat +
## Sex + Race + (1 | HNDid) + age * PhysDisorder + age * CollectEfficacy
## Data: TrailsB
##
## REML criterion at convergence: 45358.3
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.4706674 -0.3104809 -0.1486820 0.0540691 3.3807007
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 15064.572 122.73782
## Residual 9748.175 98.73285
## Number of obs: 3550, groups: HNDid, 2239
##
## Fixed effects:
## Estimate Std. Error df t value
## (Intercept) 111.2120731 18.4963225 3358.5330000 6.01266
## age 6.0881107 1.8655536 3128.5310000 3.26343
## PhysDisorder 1.4823319 2.7804418 3274.9870000 0.53313
## CollectEfficacy -4.9094830 3.5909629 3200.1130000 -1.36718
## PovStatBelow 39.5871887 6.5388523 2147.4290000 6.05415
## SexMen 9.4208183 6.3220227 2092.2370000 1.49016
## RaceAfrAm 66.6160828 6.4537507 2083.4030000 10.32207
## age:PhysDisorder -0.2456355 0.2962873 3194.4130000 -0.82905
## age:CollectEfficacy -0.6639113 0.3784106 3121.4660000 -1.75447
## Pr(>|t|)
## (Intercept) 2.0208e-09
## age 0.0011125
## PhysDisorder 0.5939810
## CollectEfficacy 0.1716658
## PovStatBelow 1.6615e-09
## SexMen 0.1363332
## RaceAfrAm < 2.22e-16
## age:PhysDisorder 0.4071408
## age:CollectEfficacy 0.0794475
##
## Correlation of Fixed Effects:
## (Intr) age PhysDs CllctE PvSttB SexMen RcAfrA ag:PhD
## age 0.027
## PhysDisordr -0.761 -0.021
## CllctEffccy -0.878 -0.019 0.524
## PovStatBelw -0.114 -0.019 -0.083 0.055
## SexMen -0.129 -0.036 -0.025 -0.016 0.053
## RaceAfrAm -0.226 0.015 0.081 0.010 -0.158 -0.009
## ag:PhysDsrd -0.040 -0.803 0.061 0.021 0.025 0.021 -0.004
## ag:CllctEff -0.020 -0.915 0.004 0.011 0.024 0.040 -0.013 0.544
Trail Making Test Part B (Model 2)
#load data file
load(file="/Users/meganwilliams/Desktop/Neighborhood and Cognitive Function/Data/TrailsB.Rda")
#Run regression model
TMTB = lmer(TrailsBtestSec~(age + PhysDisorder + CollectEfficacy)^3 + PovStat + Sex + Race + (1|HNDid),data=TrailsB)
#Summary of results
summary(TMTB)
## Linear mixed model fit by REML t-tests use Satterthwaite approximations
## to degrees of freedom [lmerMod]
## Formula:
## TrailsBtestSec ~ (age + PhysDisorder + CollectEfficacy)^3 + PovStat +
## Sex + Race + (1 | HNDid)
## Data: TrailsB
##
## REML criterion at convergence: 45353.5
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.4758703 -0.3113893 -0.1486802 0.0506533 3.3750834
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 15035.072 122.61758
## Residual 9764.524 98.81561
## Number of obs: 3550, groups: HNDid, 2239
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 147.72400645 33.75860858 3029.68720000
## age 6.51739607 3.39709536 2855.47450000
## PhysDisorder -10.01422602 9.28765757 2912.25980000
## CollectEfficacy -15.16861575 8.70600559 2951.12950000
## PovStatBelow 39.39327188 6.53784231 2146.97380000
## SexMen 9.33979834 6.32083627 2091.89940000
## RaceAfrAm 66.35841197 6.45475548 2085.62820000
## age:PhysDisorder -0.42090580 0.96956872 2745.64550000
## age:CollectEfficacy -0.78210624 0.89638313 2856.00780000
## PhysDisorder:CollectEfficacy 3.42109981 2.63633926 2911.49110000
## age:PhysDisorder:CollectEfficacy 0.05142318 0.27871760 2765.99090000
## t value Pr(>|t|)
## (Intercept) 4.37589 1.2502e-05
## age 1.91852 0.055145
## PhysDisorder -1.07823 0.281021
## CollectEfficacy -1.74232 0.081557
## PovStatBelow 6.02542 1.9795e-09
## SexMen 1.47762 0.139660
## RaceAfrAm 10.28055 < 2.22e-16
## age:PhysDisorder -0.43412 0.664238
## age:CollectEfficacy -0.87251 0.383002
## PhysDisorder:CollectEfficacy 1.29767 0.194503
## age:PhysDisorder:CollectEfficacy 0.18450 0.853635
##
## Correlation of Fixed Effects:
## (Intr) age PhysDs CllctE PvSttB SexMen RcAfrA ag:PhD ag:ClE
## age 0.005
## PhysDisordr -0.923 -0.027
## CllctEffccy -0.960 0.000 0.933
## PovStatBelw -0.082 -0.007 -0.003 0.043
## SexMen -0.081 -0.004 0.004 0.004 0.054
## RaceAfrAm -0.151 0.018 0.055 0.034 -0.157 -0.009
## ag:PhysDsrd -0.027 -0.930 0.059 0.024 0.004 -0.011 -0.012
## ag:CllctEff 0.002 -0.970 0.022 -0.006 0.006 0.000 -0.016 0.933
## PhysDsrd:CE 0.836 0.021 -0.954 -0.911 -0.023 -0.012 -0.032 -0.052 -0.019
## ag:PhysD:CE 0.018 0.835 -0.053 -0.019 0.003 0.018 0.011 -0.952 -0.906
## PhD:CE
## age
## PhysDisordr
## CllctEffccy
## PovStatBelw
## SexMen
## RaceAfrAm
## ag:PhysDsrd
## ag:CllctEff
## PhysDsrd:CE
## ag:PhysD:CE 0.051
Attention (Model 1)
#load data file
load(file="/Users/meganwilliams/Desktop/Neighborhood and Cognitive Function/Data/Attention.Rda")
#Run regression model
Attn = lmer(Attention~age + PhysDisorder + CollectEfficacy + PovStat + Sex + Race + (1|HNDid) + age*PhysDisorder + age*CollectEfficacy, data=Attention)
#Summary of results
summary(Attn)
## Linear mixed model fit by REML t-tests use Satterthwaite approximations
## to degrees of freedom [lmerMod]
## Formula: Attention ~ age + PhysDisorder + CollectEfficacy + PovStat +
## Sex + Race + (1 | HNDid) + age * PhysDisorder + age * CollectEfficacy
## Data: Attention
##
## REML criterion at convergence: 13038.4
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.87493845 -0.51134425 0.01905171 0.57310211 2.44802414
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 2.302311 1.517337
## Residual 1.996125 1.412843
## Number of obs: 3107, groups: HNDid, 2071
##
## Fixed effects:
## Estimate Std. Error df t value
## (Intercept) 7.012360e+00 2.698676e-01 3.046961e+03 25.98444
## age -1.365008e-01 2.728806e-02 2.930758e+03 -5.00222
## PhysDisorder -4.763339e-02 4.052521e-02 3.016573e+03 -1.17540
## CollectEfficacy 1.338624e-01 5.252260e-02 2.989740e+03 2.54866
## PovStatBelow -4.752795e-01 8.916132e-02 2.058831e+03 -5.33056
## SexMen -2.990183e-01 8.635085e-02 2.020134e+03 -3.46283
## RaceAfrAm -7.893053e-01 8.768656e-02 2.005724e+03 -9.00144
## age:PhysDisorder 1.406121e-02 4.284938e-03 2.953760e+03 3.28154
## age:CollectEfficacy 2.047754e-02 5.545731e-03 2.942040e+03 3.69249
## Pr(>|t|)
## (Intercept) < 2.22e-16
## age 6.0017e-07
## PhysDisorder 0.23992689
## CollectEfficacy 0.01086323
## PovStatBelow 1.0863e-07
## SexMen 0.00054566
## RaceAfrAm < 2.22e-16
## age:PhysDisorder 0.00104441
## age:CollectEfficacy 0.00022611
##
## Correlation of Fixed Effects:
## (Intr) age PhysDs CllctE PvSttB SexMen RcAfrA ag:PhD
## age 0.024
## PhysDisordr -0.771 -0.021
## CllctEffccy -0.888 -0.016 0.540
## PovStatBelw -0.115 -0.015 -0.085 0.062
## SexMen -0.122 -0.041 -0.021 -0.013 0.059
## RaceAfrAm -0.211 0.011 0.077 0.011 -0.151 -0.012
## ag:PhysDsrd -0.034 -0.806 0.050 0.022 0.019 0.022 -0.003
## ag:CllctEff -0.020 -0.919 0.011 0.007 0.024 0.045 -0.008 0.550
Attention (Model 2)
#load data file
load(file="/Users/meganwilliams/Desktop/Neighborhood and Cognitive Function/Data/Attention.Rda")
#Run regression model
Attn = lmer(Attention~(age + PhysDisorder + CollectEfficacy)^3 + PovStat + Sex + Race + (1|HNDid), data=Attention)
#Summary of results
summary(Attn)
## Linear mixed model fit by REML t-tests use Satterthwaite approximations
## to degrees of freedom [lmerMod]
## Formula: Attention ~ (age + PhysDisorder + CollectEfficacy)^3 + PovStat +
## Sex + Race + (1 | HNDid)
## Data: Attention
##
## REML criterion at convergence: 13049.1
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.86425661 -0.51306811 0.01912432 0.56554570 2.46722086
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 2.301822 1.517176
## Residual 1.995241 1.412530
## Number of obs: 3107, groups: HNDid, 2071
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 6.337887e+00 4.885703e-01 2.827371e+03
## age -1.595451e-01 4.931798e-02 2.689672e+03
## PhysDisorder 1.676263e-01 1.349359e-01 2.771848e+03
## CollectEfficacy 3.237552e-01 1.262031e-01 2.785921e+03
## PovStatBelow -4.718557e-01 8.917145e-02 2.059093e+03
## SexMen -2.992592e-01 8.636445e-02 2.020436e+03
## RaceAfrAm -7.852442e-01 8.772678e-02 2.008662e+03
## age:PhysDisorder 2.221067e-02 1.416386e-02 2.624488e+03
## age:CollectEfficacy 2.697043e-02 1.301311e-02 2.694737e+03
## PhysDisorder:CollectEfficacy -6.419232e-02 3.843719e-02 2.788247e+03
## age:PhysDisorder:CollectEfficacy -2.432650e-03 4.083647e-03 2.655290e+03
## t value Pr(>|t|)
## (Intercept) 12.97231 < 2.22e-16
## age -3.23503 0.00123104
## PhysDisorder 1.24227 0.21424332
## CollectEfficacy 2.56535 0.01035905
## PovStatBelow -5.29156 1.3417e-07
## SexMen -3.46507 0.00054115
## RaceAfrAm -8.95102 < 2.22e-16
## age:PhysDisorder 1.56812 0.11697306
## age:CollectEfficacy 2.07256 0.03830827
## PhysDisorder:CollectEfficacy -1.67006 0.09502021
## age:PhysDisorder:CollectEfficacy -0.59571 0.55142286
##
## Correlation of Fixed Effects:
## (Intr) age PhysDs CllctE PvSttB SexMen RcAfrA ag:PhD ag:ClE
## age -0.001
## PhysDisordr -0.923 -0.018
## CllctEffccy -0.962 0.007 0.934
## PovStatBelw -0.083 -0.009 -0.004 0.047
## SexMen -0.073 -0.003 0.000 0.001 0.059
## RaceAfrAm -0.143 0.017 0.054 0.034 -0.150 -0.011
## ag:PhysDsrd -0.017 -0.929 0.044 0.013 0.007 -0.016 -0.013
## ag:CllctEff 0.008 -0.970 0.012 -0.015 0.011 -0.002 -0.015 0.933
## PhysDsrd:CE 0.833 0.011 -0.954 -0.909 -0.023 -0.006 -0.032 -0.038 -0.007
## ag:PhysD:CE 0.008 0.833 -0.037 -0.007 -0.001 0.024 0.012 -0.953 -0.904
## PhD:CE
## age
## PhysDisordr
## CllctEffccy
## PovStatBelw
## SexMen
## RaceAfrAm
## ag:PhysDsrd
## ag:CllctEff
## PhysDsrd:CE
## ag:PhysD:CE 0.035
Benton Visual Retention Test (Model 1)
#Load data file
load(file="/Users/meganwilliams/Desktop/Neighborhood and Cognitive Function/Data/BVRtot.Rda")
#Run regression model
BVR = lmer(BVRtot~age + PhysDisorder + CollectEfficacy + PovStat + Race + Sex + (1|HNDid) + age*PhysDisorder + age*CollectEfficacy, data=BVRtot)
#Summary of results
summary(BVR)
## Linear mixed model fit by REML t-tests use Satterthwaite approximations
## to degrees of freedom [lmerMod]
## Formula: BVRtot ~ age + PhysDisorder + CollectEfficacy + PovStat + Race +
## Sex + (1 | HNDid) + age * PhysDisorder + age * CollectEfficacy
## Data: BVRtot
##
## REML criterion at convergence: 21348.4
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.1933312 -0.4821842 -0.0460755 0.4599724 3.6181497
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 12.45028 3.528495
## Residual 11.81508 3.437308
## Number of obs: 3605, groups: HNDid, 2280
##
## Fixed effects:
## Estimate Std. Error df t value
## (Intercept) 7.369587e+00 5.942619e-01 3.547966e+03 12.40124
## age 2.599594e-01 6.043130e-02 3.411011e+03 4.30174
## PhysDisorder -1.143609e-01 8.944570e-02 3.517325e+03 -1.27855
## CollectEfficacy -1.924187e-01 1.161730e-01 3.467115e+03 -1.65631
## PovStatBelow 1.069279e+00 1.990372e-01 2.142459e+03 5.37225
## RaceAfrAm 1.070283e+00 1.962616e-01 2.067823e+03 5.45335
## SexMen -8.037918e-01 1.921887e-01 2.083088e+03 -4.18231
## age:PhysDisorder -1.261245e-02 9.551637e-03 3.465163e+03 -1.32045
## age:CollectEfficacy -1.462112e-02 1.229245e-02 3.397614e+03 -1.18944
## Pr(>|t|)
## (Intercept) < 2.22e-16
## age 1.7422e-05
## PhysDisorder 0.201139
## CollectEfficacy 0.097749
## PovStatBelow 8.6189e-08
## RaceAfrAm 5.5340e-08
## SexMen 3.0053e-05
## age:PhysDisorder 0.186772
## age:CollectEfficacy 0.234350
##
## Correlation of Fixed Effects:
## (Intr) age PhysDs CllctE PvSttB RcAfrA SexMen ag:PhD
## age 0.026
## PhysDisordr -0.767 -0.017
## CllctEffccy -0.885 -0.017 0.531
## PovStatBelw -0.111 -0.025 -0.086 0.060
## RaceAfrAm -0.217 0.015 0.087 0.008 -0.158
## SexMen -0.117 -0.038 -0.034 -0.018 0.055 -0.009
## ag:PhysDsrd -0.034 -0.806 0.053 0.016 0.032 -0.006 0.022
## ag:CllctEff -0.019 -0.918 0.002 0.009 0.027 -0.012 0.041 0.549
Benton Visual Retention Test (Model 2)
#Load data file
load(file="/Users/meganwilliams/Desktop/Neighborhood and Cognitive Function/Data/BVRtot.Rda")
#Run regression model
BVR = lmer(BVRtot~(age + PhysDisorder + CollectEfficacy)^3 + PovStat + Race + Sex + (1|HNDid), data=BVRtot)
#Summary of results
summary(BVR)
## Linear mixed model fit by REML t-tests use Satterthwaite approximations
## to degrees of freedom [lmerMod]
## Formula: BVRtot ~ (age + PhysDisorder + CollectEfficacy)^3 + PovStat +
## Race + Sex + (1 | HNDid)
## Data: BVRtot
##
## REML criterion at convergence: 21358.3
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.1844741 -0.4853293 -0.0496038 0.4603096 3.5936348
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 12.43001 3.525621
## Residual 11.83350 3.439985
## Number of obs: 3605, groups: HNDid, 2280
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 7.964673e+00 1.091560e+00 3.308289e+03
## age 3.174379e-01 1.111306e-01 3.163099e+03
## PhysDisorder -3.066337e-01 3.012728e-01 3.217651e+03
## CollectEfficacy -3.595346e-01 2.824695e-01 3.250423e+03
## PovStatBelow 1.065712e+00 1.990562e-01 2.142788e+03
## RaceAfrAm 1.067437e+00 1.963323e-01 2.070444e+03
## SexMen -8.026420e-01 1.921887e-01 2.083190e+03
## age:PhysDisorder -3.187184e-02 3.183179e-02 3.074906e+03
## age:CollectEfficacy -3.098916e-02 2.934360e-02 3.147128e+03
## PhysDisorder:CollectEfficacy 5.702048e-02 8.562132e-02 3.216638e+03
## age:PhysDisorder:CollectEfficacy 5.774747e-03 9.144952e-03 3.073645e+03
## t value Pr(>|t|)
## (Intercept) 7.29659 3.6771e-13
## age 2.85644 0.0043121
## PhysDisorder -1.01779 0.3088524
## CollectEfficacy -1.27283 0.2031707
## PovStatBelow 5.35382 9.5321e-08
## RaceAfrAm 5.43689 6.0615e-08
## SexMen -4.17632 3.0847e-05
## age:PhysDisorder -1.00126 0.3167808
## age:CollectEfficacy -1.05608 0.2910131
## PhysDisorder:CollectEfficacy 0.66596 0.5054837
## age:PhysDisorder:CollectEfficacy 0.63147 0.5277814
##
## Correlation of Fixed Effects:
## (Intr) age PhysDs CllctE PvSttB RcAfrA SexMen ag:PhD ag:ClE
## age 0.001
## PhysDisordr -0.925 -0.019
## CllctEffccy -0.963 0.005 0.935
## PovStatBelw -0.081 -0.016 -0.003 0.046
## RaceAfrAm -0.145 0.017 0.056 0.033 -0.157
## SexMen -0.071 -0.005 -0.002 0.000 0.056 -0.008
## ag:PhysDsrd -0.020 -0.932 0.048 0.016 0.013 -0.011 -0.011
## ag:CllctEff 0.005 -0.971 0.015 -0.010 0.014 -0.014 0.000 0.935
## PhysDsrd:CE 0.838 0.014 -0.955 -0.911 -0.024 -0.032 -0.008 -0.041 -0.012
## ag:PhysD:CE 0.012 0.839 -0.042 -0.011 -0.003 0.009 0.018 -0.954 -0.908
## PhD:CE
## age
## PhysDisordr
## CllctEffccy
## PovStatBelw
## RaceAfrAm
## SexMen
## ag:PhysDsrd
## ag:CllctEff
## PhysDsrd:CE
## ag:PhysD:CE 0.040
Digit Span Foward (Model 1)
#Load data file
load(file="/Users/meganwilliams/Desktop/Neighborhood and Cognitive Function/Data/DigitSpanFwd.Rda")
#Run regression model
DSF = lmer(DigitSpanFwd~age + PhysDisorder + CollectEfficacy + PovStat + Race + Sex + (1|HNDid) + age*PhysDisorder + age*CollectEfficacy, data=DigitSpanFwd)
#Summary of results
summary(DSF)
## Linear mixed model fit by REML t-tests use Satterthwaite approximations
## to degrees of freedom [lmerMod]
## Formula: DigitSpanFwd ~ age + PhysDisorder + CollectEfficacy + PovStat +
## Race + Sex + (1 | HNDid) + age * PhysDisorder + age * CollectEfficacy
## Data: DigitSpanFwd
##
## REML criterion at convergence: 15800.5
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.3035852 -0.4000146 -0.0446650 0.4327982 3.8570766
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 3.392652 1.841915
## Residual 2.580149 1.606284
## Number of obs: 3513, groups: HNDid, 2265
##
## Fixed effects:
## Estimate Std. Error df t value
## (Intercept) 7.151473e+00 2.937580e-01 3.413792e+03 24.34478
## age -5.620819e-02 2.958056e-02 3.255579e+03 -1.90017
## PhysDisorder -3.463826e-02 4.404867e-02 3.376430e+03 -0.78636
## CollectEfficacy 1.224757e-01 5.726110e-02 3.299491e+03 2.13890
## PovStatBelow -4.167073e-01 1.005478e-01 2.226703e+03 -4.14437
## RaceAfrAm -6.148316e-01 9.930173e-02 2.162768e+03 -6.19155
## SexMen 1.453396e-01 9.714002e-02 2.177711e+03 1.49619
## age:PhysDisorder 8.195484e-03 4.671210e-03 3.314337e+03 1.75447
## age:CollectEfficacy 5.792893e-03 6.024554e-03 3.225449e+03 0.96155
## Pr(>|t|)
## (Intercept) < 2.22e-16
## age 0.057499
## PhysDisorder 0.431710
## CollectEfficacy 0.032517
## PovStatBelow 3.5349e-05
## RaceAfrAm 7.1082e-10
## SexMen 0.134750
## age:PhysDisorder 0.079443
## age:CollectEfficacy 0.336349
##
## Correlation of Fixed Effects:
## (Intr) age PhysDs CllctE PvSttB RcAfrA SexMen ag:PhD
## age 0.027
## PhysDisordr -0.764 -0.018
## CllctEffccy -0.883 -0.019 0.529
## PovStatBelw -0.113 -0.023 -0.085 0.059
## RaceAfrAm -0.224 0.016 0.086 0.012 -0.158
## SexMen -0.121 -0.038 -0.030 -0.018 0.055 -0.011
## ag:PhysDsrd -0.034 -0.804 0.055 0.015 0.030 -0.009 0.024
## ag:CllctEff -0.022 -0.917 0.001 0.014 0.027 -0.012 0.040 0.548
Digit Span Foward (Model 2)
#Load data file
load(file="/Users/meganwilliams/Desktop/Neighborhood and Cognitive Function/Data/DigitSpanFwd.Rda")
#Run regression model
DSF = lmer(DigitSpanFwd~(age + PhysDisorder + CollectEfficacy)^3 + PovStat + Race + Sex + (1|HNDid), data=DigitSpanFwd)
#Summary of results
summary(DSF)
## Linear mixed model fit by REML t-tests use Satterthwaite approximations
## to degrees of freedom [lmerMod]
## Formula:
## DigitSpanFwd ~ (age + PhysDisorder + CollectEfficacy)^3 + PovStat +
## Race + Sex + (1 | HNDid)
## Data: DigitSpanFwd
##
## REML criterion at convergence: 15809.8
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.3046575 -0.4028980 -0.0439146 0.4413005 3.8572150
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 3.384227 1.839627
## Residual 2.582059 1.606879
## Number of obs: 3513, groups: HNDid, 2265
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 6.237200e+00 5.384805e-01 3.147320e+03
## age -6.809835e-02 5.437839e-02 3.034685e+03
## PhysDisorder 2.529341e-01 1.481747e-01 3.048113e+03
## CollectEfficacy 3.791217e-01 1.390199e-01 3.075256e+03
## PovStatBelow -4.121885e-01 1.005042e-01 2.227231e+03
## RaceAfrAm -6.089381e-01 9.928653e-02 2.165439e+03
## SexMen 1.461537e-01 9.709579e-02 2.178627e+03
## age:PhysDisorder 1.279064e-02 1.555026e-02 2.932035e+03
## age:CollectEfficacy 9.119512e-03 1.434731e-02 3.002343e+03
## PhysDisorder:CollectEfficacy -8.535371e-02 4.200512e-02 3.035006e+03
## age:PhysDisorder:CollectEfficacy -1.364151e-03 4.460400e-03 2.905483e+03
## t value Pr(>|t|)
## (Intercept) 11.58296 < 2.22e-16
## age -1.25231 0.2105551
## PhysDisorder 1.70700 0.0879241
## CollectEfficacy 2.72710 0.0064256
## PovStatBelow -4.10120 4.2576e-05
## RaceAfrAm -6.13314 1.0213e-09
## SexMen 1.50525 0.1324041
## age:PhysDisorder 0.82254 0.4108391
## age:CollectEfficacy 0.63563 0.5250692
## PhysDisorder:CollectEfficacy -2.03198 0.0422423
## age:PhysDisorder:CollectEfficacy -0.30584 0.7597515
##
## Correlation of Fixed Effects:
## (Intr) age PhysDs CllctE PvSttB RcAfrA SexMen ag:PhD ag:ClE
## age 0.007
## PhysDisordr -0.924 -0.025
## CllctEffccy -0.962 -0.003 0.934
## PovStatBelw -0.081 -0.012 -0.004 0.045
## RaceAfrAm -0.148 0.019 0.055 0.033 -0.157
## SexMen -0.071 -0.003 -0.003 -0.001 0.055 -0.011
## ag:PhysDsrd -0.024 -0.932 0.052 0.022 0.008 -0.013 -0.013
## ag:CllctEff -0.002 -0.971 0.022 -0.001 0.010 -0.016 -0.002 0.934
## PhysDsrd:CE 0.838 0.021 -0.955 -0.911 -0.022 -0.031 -0.006 -0.047 -0.020
## ag:PhysD:CE 0.018 0.839 -0.048 -0.019 0.001 0.011 0.021 -0.954 -0.907
## PhD:CE
## age
## PhysDisordr
## CllctEffccy
## PovStatBelw
## RaceAfrAm
## SexMen
## ag:PhysDsrd
## ag:CllctEff
## PhysDsrd:CE
## ag:PhysD:CE 0.047
Digit Span Backward (Model 1)
#Load data file
load(file="/Users/meganwilliams/Desktop/Neighborhood and Cognitive Function/Data/DigitSpanBck.Rda")
#Run regression model
DSB = lmer(DigitSpanBck~age + PhysDisorder + CollectEfficacy + PovStat + Race + Sex + (1|HNDid) + age*PhysDisorder + age*CollectEfficacy, data=DigitSpanBck)
#Summary of results
summary(DSB)
## Linear mixed model fit by REML t-tests use Satterthwaite approximations
## to degrees of freedom [lmerMod]
## Formula: DigitSpanBck ~ age + PhysDisorder + CollectEfficacy + PovStat +
## Race + Sex + (1 | HNDid) + age * PhysDisorder + age * CollectEfficacy
## Data: DigitSpanBck
##
## REML criterion at convergence: 15220.3
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.4376965 -0.4404457 -0.0143350 0.4259506 3.4703583
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 3.104983 1.762096
## Residual 2.084400 1.443745
## Number of obs: 3508, groups: HNDid, 2264
##
## Fixed effects:
## Estimate Std. Error df t value
## (Intercept) 6.444930e+00 2.704064e-01 3.361550e+03 23.83424
## age -2.278300e-02 2.715425e-02 3.162545e+03 -0.83902
## PhysDisorder -1.085646e-01 4.056705e-02 3.309133e+03 -2.67618
## CollectEfficacy 1.082279e-03 5.260343e-02 3.211454e+03 0.02057
## PovStatBelow -5.041478e-01 9.425590e-02 2.206176e+03 -5.34871
## RaceAfrAm -1.006456e+00 9.312912e-02 2.142647e+03 -10.80710
## SexMen -4.231740e-02 9.109701e-02 2.156833e+03 -0.46453
## age:PhysDisorder 2.645042e-03 4.293687e-03 3.231900e+03 0.61603
## age:CollectEfficacy -5.861949e-04 5.528412e-03 3.123745e+03 -0.10603
## Pr(>|t|)
## (Intercept) < 2.22e-16
## age 0.4015206
## PhysDisorder 0.0074834
## CollectEfficacy 0.9835865
## PovStatBelow 9.7732e-08
## RaceAfrAm < 2.22e-16
## SexMen 0.6423141
## age:PhysDisorder 0.5379178
## age:CollectEfficacy 0.9155629
##
## Correlation of Fixed Effects:
## (Intr) age PhysDs CllctE PvSttB RcAfrA SexMen ag:PhD
## age 0.027
## PhysDisordr -0.761 -0.018
## CllctEffccy -0.880 -0.020 0.526
## PovStatBelw -0.115 -0.022 -0.084 0.058
## RaceAfrAm -0.226 0.016 0.083 0.012 -0.157
## SexMen -0.123 -0.037 -0.030 -0.018 0.055 -0.012
## ag:PhysDsrd -0.034 -0.803 0.056 0.014 0.029 -0.009 0.024
## ag:CllctEff -0.022 -0.916 0.000 0.015 0.026 -0.012 0.039 0.546
Digit Span Backward (Model 2)
#Load data file
load(file="/Users/meganwilliams/Desktop/Neighborhood and Cognitive Function/Data/DigitSpanBck.Rda")
#Run regression model
DSB = lmer(DigitSpanBck~(age + PhysDisorder + CollectEfficacy)^3 + PovStat + Race + Sex + (1|HNDid), data=DigitSpanBck)
#Summary of results
summary(DSB)
## Linear mixed model fit by REML t-tests use Satterthwaite approximations
## to degrees of freedom [lmerMod]
## Formula:
## DigitSpanBck ~ (age + PhysDisorder + CollectEfficacy)^3 + PovStat +
## Race + Sex + (1 | HNDid)
## Data: DigitSpanBck
##
## REML criterion at convergence: 15231.9
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.4438960 -0.4381022 -0.0205422 0.4250659 3.4649752
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 3.103043 1.761546
## Residual 2.085149 1.444005
## Number of obs: 3508, groups: HNDid, 2264
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 5.872164e+00 4.942257e-01 3.043197e+03
## age 1.505578e-03 4.984956e-02 2.915317e+03
## PhysDisorder 6.874651e-02 1.359515e-01 2.929173e+03
## CollectEfficacy 1.618518e-01 1.274761e-01 2.958596e+03
## PovStatBelow -5.012652e-01 9.426279e-02 2.204991e+03
## RaceAfrAm -1.001959e+00 9.316235e-02 2.143563e+03
## SexMen -4.032083e-02 9.110272e-02 2.156010e+03
## age:PhysDisorder -4.780994e-03 1.425045e-02 2.804406e+03
## age:CollectEfficacy -7.555354e-03 1.314807e-02 2.880618e+03
## PhysDisorder:CollectEfficacy -5.271244e-02 3.851620e-02 2.914970e+03
## age:PhysDisorder:CollectEfficacy 2.243713e-03 4.085578e-03 2.778108e+03
## t value Pr(>|t|)
## (Intercept) 11.88154 < 2.22e-16
## age 0.03020 0.97591
## PhysDisorder 0.50567 0.61313
## CollectEfficacy 1.26966 0.20430
## PovStatBelow -5.31774 1.1567e-07
## RaceAfrAm -10.75498 < 2.22e-16
## SexMen -0.44259 0.65811
## age:PhysDisorder -0.33550 0.73727
## age:CollectEfficacy -0.57464 0.56558
## PhysDisorder:CollectEfficacy -1.36858 0.17124
## age:PhysDisorder:CollectEfficacy 0.54918 0.58293
##
## Correlation of Fixed Effects:
## (Intr) age PhysDs CllctE PvSttB RcAfrA SexMen ag:PhD ag:ClE
## age 0.008
## PhysDisordr -0.923 -0.027
## CllctEffccy -0.961 -0.005 0.934
## PovStatBelw -0.081 -0.010 -0.005 0.043
## RaceAfrAm -0.148 0.020 0.053 0.032 -0.156
## SexMen -0.074 -0.004 -0.002 0.000 0.055 -0.012
## ag:PhysDsrd -0.026 -0.931 0.055 0.024 0.007 -0.014 -0.011
## ag:CllctEff -0.004 -0.971 0.024 0.001 0.009 -0.017 -0.001 0.934
## PhysDsrd:CE 0.837 0.023 -0.954 -0.911 -0.021 -0.029 -0.007 -0.050 -0.023
## ag:PhysD:CE 0.020 0.838 -0.051 -0.022 0.001 0.012 0.019 -0.954 -0.907
## PhD:CE
## age
## PhysDisordr
## CllctEffccy
## PovStatBelw
## RaceAfrAm
## SexMen
## ag:PhysDsrd
## ag:CllctEff
## PhysDsrd:CE
## ag:PhysD:CE 0.050
California Verbal Learning Test: Total Correct for Trial A (Model 1)
#Load data file
load(file="/Users/meganwilliams/Desktop/Neighborhood and Cognitive Function/Data/CVLtca.Rda")
#Run regression model
CVLA = lmer(CVLtca~age + PhysDisorder + CollectEfficacy + PovStat + Race + Sex + (1|HNDid) + age*PhysDisorder + age*CollectEfficacy, data=CVLtca)
#Summary of results
summary(CVLA)
## Linear mixed model fit by REML t-tests use Satterthwaite approximations
## to degrees of freedom [lmerMod]
## Formula: CVLtca ~ age + PhysDisorder + CollectEfficacy + PovStat + Race +
## Sex + (1 | HNDid) + age * PhysDisorder + age * CollectEfficacy
## Data: CVLtca
##
## REML criterion at convergence: 22503.1
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.8977423 -0.7569730 -0.3770253 0.7475641 3.0139815
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 0.00000 0.000000
## Residual 67.12981 8.193278
## Number of obs: 3192, groups: HNDid, 2103
##
## Fixed effects:
## Estimate Std. Error df t value
## (Intercept) 15.29791158 1.07174835 3183.00000000 14.27379
## age -0.06643064 0.11069661 3183.00000000 -0.60011
## PhysDisorder -0.40258636 0.16420263 3183.00000000 -2.45177
## CollectEfficacy 0.12966523 0.21076008 3183.00000000 0.61523
## PovStatBelow -1.22173540 0.30607647 3183.00000000 -3.99160
## RaceAfrAm -2.20613810 0.30100038 3183.00000000 -7.32935
## SexMen -1.88006595 0.29490272 3183.00000000 -6.37521
## age:PhysDisorder 0.02195715 0.01759910 3183.00000000 1.24763
## age:CollectEfficacy 0.01279895 0.02245293 3183.00000000 0.57003
## Pr(>|t|)
## (Intercept) < 2.22e-16
## age 0.548473
## PhysDisorder 0.014269
## CollectEfficacy 0.538449
## PovStatBelow 6.7110e-05
## RaceAfrAm 2.9177e-13
## SexMen 2.0911e-10
## age:PhysDisorder 0.212259
## age:CollectEfficacy 0.568694
##
## Correlation of Fixed Effects:
## (Intr) age PhysDs CllctE PvSttB RcAfrA SexMen ag:PhD
## age 0.019
## PhysDisordr -0.795 -0.017
## CllctEffccy -0.896 -0.005 0.553
## PovStatBelw -0.077 -0.042 -0.116 0.049
## RaceAfrAm -0.191 0.017 0.108 -0.004 -0.159
## SexMen -0.102 -0.056 -0.027 -0.014 0.069 -0.013
## ag:PhysDsrd -0.027 -0.817 0.038 0.017 0.041 -0.014 0.030
## ag:CllctEff -0.014 -0.918 0.011 -0.011 0.047 -0.006 0.063 0.555
California Verbal Learning Test: Total Correct for Trial A (Model 2)
#Load data file
load(file="/Users/meganwilliams/Desktop/Neighborhood and Cognitive Function/Data/CVLtca.Rda")
#Run regression model
CVLA = lmer(CVLtca~(age + PhysDisorder + CollectEfficacy)^3 + PovStat + Race + Sex + (1|HNDid), data=CVLtca)
#Summary of results
summary(CVLA)
## Linear mixed model fit by REML t-tests use Satterthwaite approximations
## to degrees of freedom [lmerMod]
## Formula: CVLtca ~ (age + PhysDisorder + CollectEfficacy)^3 + PovStat +
## Race + Sex + (1 | HNDid)
## Data: CVLtca
##
## REML criterion at convergence: 22509.7
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.9289344 -0.7588611 -0.3769123 0.7518767 3.0264095
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 0.00000 0.000000
## Residual 67.14097 8.193959
## Number of obs: 3192, groups: HNDid, 2103
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 1.320516e+01 2.034050e+00 3.181007e+03
## age -4.127558e-02 2.106418e-01 3.181007e+03
## PhysDisorder 2.501853e-01 5.648480e-01 3.181007e+03
## CollectEfficacy 7.237391e-01 5.339766e-01 3.181007e+03
## PovStatBelow -1.213010e+00 3.062260e-01 3.181007e+03
## RaceAfrAm -2.197370e+00 3.011126e-01 3.181007e+03
## SexMen -1.878603e+00 2.949932e-01 3.181007e+03
## age:PhysDisorder 1.592659e-02 6.054880e-02 3.181007e+03
## age:CollectEfficacy 5.189773e-03 5.616732e-02 3.181007e+03
## PhysDisorder:CollectEfficacy -1.953771e-01 1.617108e-01 3.181007e+03
## age:PhysDisorder:CollectEfficacy 1.925761e-03 1.751092e-02 3.181007e+03
## t value Pr(>|t|)
## (Intercept) 6.49205 9.7877e-11
## age -0.19595 0.84466
## PhysDisorder 0.44293 0.65785
## CollectEfficacy 1.35538 0.17539
## PovStatBelow -3.96116 7.6223e-05
## RaceAfrAm -7.29750 3.6859e-13
## SexMen -6.36829 2.1865e-10
## age:PhysDisorder 0.26304 0.79254
## age:CollectEfficacy 0.09240 0.92639
## PhysDisorder:CollectEfficacy -1.20819 0.22706
## age:PhysDisorder:CollectEfficacy 0.10997 0.91244
##
## Correlation of Fixed Effects:
## (Intr) age PhysDs CllctE PvSttB RcAfrA SexMen ag:PhD ag:ClE
## age -0.035
## PhysDisordr -0.935 0.018
## CllctEffccy -0.967 0.046 0.942
## PovStatBelw -0.061 -0.034 -0.010 0.042
## RaceAfrAm -0.121 0.010 0.054 0.021 -0.159
## SexMen -0.056 -0.011 -0.006 -0.003 0.069 -0.012
## ag:PhysDsrd 0.017 -0.938 0.007 -0.025 0.025 -0.004 -0.011
## ag:CllctEff 0.045 -0.973 -0.027 -0.058 0.031 -0.004 0.006 0.941
## PhysDsrd:CE 0.850 -0.025 -0.957 -0.918 -0.025 -0.024 -0.002 -0.001 0.032
## ag:PhysD:CE -0.026 0.850 0.001 0.032 -0.014 0.001 0.021 -0.957 -0.916
## PhD:CE
## age
## PhysDisordr
## CllctEffccy
## PovStatBelw
## RaceAfrAm
## SexMen
## ag:PhysDsrd
## ag:CllctEff
## PhysDsrd:CE
## ag:PhysD:CE -0.004
California Verbal Learning Test: Total Correct for Trial B (Model 1)
#Load data file
load(file="/Users/meganwilliams/Desktop/Neighborhood and Cognitive Function/Data/CVLtcb.Rda")
#Run regression model
CVLB = lmer(CVLtcb~age + PhysDisorder + CollectEfficacy + PovStat + Race + Sex + (1|HNDid) + age*PhysDisorder + age*CollectEfficacy, data=CVLtcb)
#Summary of results
summary(CVLB)
## Linear mixed model fit by REML t-tests use Satterthwaite approximations
## to degrees of freedom [lmerMod]
## Formula: CVLtcb ~ age + PhysDisorder + CollectEfficacy + PovStat + Race +
## Sex + (1 | HNDid) + age * PhysDisorder + age * CollectEfficacy
## Data: CVLtcb
##
## REML criterion at convergence: 13530.1
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.5122945 -0.6493940 -0.0273608 0.5826572 3.3470359
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 0.9895577 0.9947652
## Residual 3.2333167 1.7981426
## Number of obs: 3167, groups: HNDid, 2092
##
## Fixed effects:
## Estimate Std. Error df t value
## (Intercept) 4.485923e+00 2.742429e-01 3.070461e+03 16.35748
## age -9.162606e-02 2.806258e-02 3.141349e+03 -3.26506
## PhysDisorder 8.552906e-02 4.187802e-02 3.109878e+03 2.04234
## CollectEfficacy 1.811008e-01 5.372827e-02 3.100904e+03 3.37068
## PovStatBelow -3.994014e-01 8.240153e-02 1.953804e+03 -4.84701
## RaceAfrAm -5.388698e-01 8.126411e-02 1.905797e+03 -6.63109
## SexMen -6.501127e-01 7.955497e-02 1.923546e+03 -8.17187
## age:PhysDisorder 6.673290e-03 4.459926e-03 3.137477e+03 1.49628
## age:CollectEfficacy 7.873296e-03 5.697008e-03 3.135011e+03 1.38201
## Pr(>|t|)
## (Intercept) < 2.22e-16
## age 0.00110615
## PhysDisorder 0.04120221
## CollectEfficacy 0.00075901
## PovStatBelow 1.3522e-06
## RaceAfrAm 4.3262e-11
## SexMen 4.4409e-16
## age:PhysDisorder 0.13468180
## age:CollectEfficacy 0.16706846
##
## Correlation of Fixed Effects:
## (Intr) age PhysDs CllctE PvSttB RcAfrA SexMen ag:PhD
## age 0.023
## PhysDisordr -0.790 -0.018
## CllctEffccy -0.891 -0.010 0.548
## PovStatBelw -0.087 -0.040 -0.105 0.051
## RaceAfrAm -0.200 0.017 0.103 -0.001 -0.160
## SexMen -0.106 -0.053 -0.027 -0.017 0.067 -0.010
## ag:PhysDsrd -0.030 -0.813 0.042 0.020 0.037 -0.011 0.027
## ag:CllctEff -0.019 -0.916 0.011 -0.004 0.047 -0.008 0.060 0.549
California Verbal Learning Test: Total Correct for Trial B (Model 2)
#Load data file
load(file="/Users/meganwilliams/Desktop/Neighborhood and Cognitive Function/Data/CVLtcb.Rda")
#Run regression model
CVLB = lmer(CVLtcb~(age + PhysDisorder + CollectEfficacy)^3 + PovStat + Race + Sex + (1|HNDid), data=CVLtcb)
#Summary of results
summary(CVLB)
## Linear mixed model fit by REML t-tests use Satterthwaite approximations
## to degrees of freedom [lmerMod]
## Formula: CVLtcb ~ (age + PhysDisorder + CollectEfficacy)^3 + PovStat +
## Race + Sex + (1 | HNDid)
## Data: CVLtcb
##
## REML criterion at convergence: 13538.9
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.5243774 -0.6498871 -0.0291869 0.5795829 3.3518453
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 1.001167 1.000583
## Residual 3.220120 1.794469
## Number of obs: 3167, groups: HNDid, 2092
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 3.638830e+00 5.115270e-01 3.155983e+03
## age -4.528700e-02 5.262684e-02 3.146111e+03
## PhysDisorder 3.464300e-01 1.415011e-01 3.153004e+03
## CollectEfficacy 4.218542e-01 1.338469e-01 3.153464e+03
## PovStatBelow -3.968680e-01 8.247171e-02 1.951861e+03
## RaceAfrAm -5.345919e-01 8.133459e-02 1.902433e+03
## SexMen -6.481359e-01 7.961267e-02 1.920911e+03
## age:PhysDisorder -7.478530e-03 1.509289e-02 3.140333e+03
## age:CollectEfficacy -5.607946e-03 1.402191e-02 3.144809e+03
## PhysDisorder:CollectEfficacy -7.823107e-02 4.050720e-02 3.153971e+03
## age:PhysDisorder:CollectEfficacy 4.313947e-03 4.367317e-03 3.143035e+03
## t value Pr(>|t|)
## (Intercept) 7.11366 1.3922e-12
## age -0.86053 0.3895623
## PhysDisorder 2.44825 0.0144093
## CollectEfficacy 3.15177 0.0016381
## PovStatBelow -4.81217 1.6076e-06
## RaceAfrAm -6.57275 6.3597e-11
## SexMen -8.14111 6.6613e-16
## age:PhysDisorder -0.49550 0.6202817
## age:CollectEfficacy -0.39994 0.6892266
## PhysDisorder:CollectEfficacy -1.93129 0.0535369
## age:PhysDisorder:CollectEfficacy 0.98778 0.3233367
##
## Correlation of Fixed Effects:
## (Intr) age PhysDs CllctE PvSttB RcAfrA SexMen ag:PhD ag:ClE
## age -0.031
## PhysDisordr -0.931 0.013
## CllctEffccy -0.965 0.041 0.939
## PovStatBelw -0.066 -0.032 -0.009 0.041
## RaceAfrAm -0.129 0.012 0.055 0.023 -0.159
## SexMen -0.060 -0.012 -0.005 -0.003 0.067 -0.010
## ag:PhysDsrd 0.011 -0.936 0.015 -0.018 0.023 -0.007 -0.011
## ag:CllctEff 0.040 -0.972 -0.021 -0.052 0.030 -0.007 0.006 0.938
## PhysDsrd:CE 0.844 -0.019 -0.955 -0.915 -0.023 -0.025 -0.003 -0.009 0.026
## ag:PhysD:CE -0.020 0.846 -0.008 0.025 -0.013 0.003 0.020 -0.955 -0.913
## PhD:CE
## age
## PhysDisordr
## CllctEffccy
## PovStatBelw
## RaceAfrAm
## SexMen
## ag:PhysDsrd
## ag:CllctEff
## PhysDsrd:CE
## ag:PhysD:CE 0.006
California Verbal Learning Test: Learning Slope (Model 1)
#Load data file
load(file="/Users/meganwilliams/Desktop/Neighborhood and Cognitive Function/Data/CVLbet.Rda")
#Run regression model
CVLslope = lmer(CVLbet~age + PhysDisorder + CollectEfficacy + PovStat + Race + Sex + (1|HNDid) + age*PhysDisorder + age*CollectEfficacy, data=CVLbet)
#Summary of results
summary(CVLslope)
## Linear mixed model fit by REML t-tests use Satterthwaite approximations
## to degrees of freedom [lmerMod]
## Formula: CVLbet ~ age + PhysDisorder + CollectEfficacy + PovStat + Race +
## Sex + (1 | HNDid) + age * PhysDisorder + age * CollectEfficacy
## Data: CVLbet
##
## REML criterion at convergence: 9878.3
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.7333607 -0.6179058 0.0201083 0.5985272 3.3395345
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 0.1628864 0.4035918
## Residual 1.1222133 1.0593457
## Number of obs: 3187, groups: HNDid, 2101
##
## Fixed effects:
## Estimate Std. Error df t value
## (Intercept) 1.746861e+00 1.503112e-01 2.993528e+03 11.62163
## age -3.155162e-02 1.545943e-02 3.088050e+03 -2.04093
## PhysDisorder 2.839662e-03 2.298766e-02 3.048851e+03 0.12353
## CollectEfficacy 5.564862e-02 2.951801e-02 3.030899e+03 1.88524
## PovStatBelow -6.824387e-02 4.404302e-02 1.989874e+03 -1.54948
## RaceAfrAm -1.341702e-01 4.338700e-02 1.939903e+03 -3.09241
## SexMen -2.643944e-01 4.249294e-02 1.956212e+03 -6.22208
## age:PhysDisorder 4.133092e-03 2.459246e-03 3.088228e+03 1.68063
## age:CollectEfficacy 1.958304e-03 3.138831e-03 3.074234e+03 0.62390
## Pr(>|t|)
## (Intercept) < 2.22e-16
## age 0.0413426
## PhysDisorder 0.9016957
## CollectEfficacy 0.0594926
## PovStatBelow 0.1214250
## RaceAfrAm 0.0020137
## SexMen 5.9848e-10
## age:PhysDisorder 0.0929352
## age:CollectEfficacy 0.5327421
##
## Correlation of Fixed Effects:
## (Intr) age PhysDs CllctE PvSttB RcAfrA SexMen ag:PhD
## age 0.021
## PhysDisordr -0.793 -0.018
## CllctEffccy -0.893 -0.008 0.550
## PovStatBelw -0.083 -0.040 -0.109 0.050
## RaceAfrAm -0.195 0.015 0.104 -0.003 -0.159
## SexMen -0.104 -0.055 -0.027 -0.016 0.068 -0.011
## ag:PhysDsrd -0.028 -0.814 0.039 0.019 0.038 -0.012 0.028
## ag:CllctEff -0.017 -0.917 0.012 -0.008 0.046 -0.006 0.062 0.550
California Verbal Learning Test: Learning Slope (Model 2)
#Load data file
load(file="/Users/meganwilliams/Desktop/Neighborhood and Cognitive Function/Data/CVLbet.Rda")
#Run regression model
CVLslope = lmer(CVLbet~(age + PhysDisorder + CollectEfficacy)^3 + PovStat + Race + Sex + (1|HNDid), data=CVLbet)
#Summary of results
summary(CVLslope)
## Linear mixed model fit by REML t-tests use Satterthwaite approximations
## to degrees of freedom [lmerMod]
## Formula: CVLbet ~ (age + PhysDisorder + CollectEfficacy)^3 + PovStat +
## Race + Sex + (1 | HNDid)
## Data: CVLbet
##
## REML criterion at convergence: 9894
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.7298889 -0.6155521 0.0201596 0.5999130 3.3409866
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 0.1626552 0.4033053
## Residual 1.1231421 1.0597840
## Number of obs: 3187, groups: HNDid, 2101
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 1.798059e+00 2.830205e-01 3.150114e+03
## age -2.192524e-02 2.927543e-02 3.171657e+03
## PhysDisorder -1.409021e-02 7.847323e-02 3.165278e+03
## CollectEfficacy 4.121682e-02 7.419327e-02 3.162341e+03
## PovStatBelow -6.869417e-02 4.406848e-02 1.986617e+03
## RaceAfrAm -1.343562e-01 4.340942e-02 1.935262e+03
## SexMen -2.640373e-01 4.251264e-02 1.952564e+03
## age:PhysDisorder 9.570681e-04 8.421677e-03 3.174961e+03
## age:CollectEfficacy -7.990687e-04 7.802853e-03 3.172647e+03
## PhysDisorder:CollectEfficacy 5.043416e-03 2.247082e-02 3.164105e+03
## age:PhysDisorder:CollectEfficacy 9.581221e-04 2.434990e-03 3.174117e+03
## t value Pr(>|t|)
## (Intercept) 6.35311 2.4139e-10
## age -0.74893 0.4539551
## PhysDisorder -0.17955 0.8575140
## CollectEfficacy 0.55553 0.5785693
## PovStatBelow -1.55881 0.1192018
## RaceAfrAm -3.09509 0.0019957
## SexMen -6.21079 6.4243e-10
## age:PhysDisorder 0.11364 0.9095277
## age:CollectEfficacy -0.10241 0.9184399
## PhysDisorder:CollectEfficacy 0.22444 0.8224272
## age:PhysDisorder:CollectEfficacy 0.39348 0.6939907
##
## Correlation of Fixed Effects:
## (Intr) age PhysDs CllctE PvSttB RcAfrA SexMen ag:PhD ag:ClE
## age -0.035
## PhysDisordr -0.933 0.018
## CllctEffccy -0.966 0.045 0.941
## PovStatBelw -0.065 -0.031 -0.008 0.042
## RaceAfrAm -0.125 0.011 0.054 0.022 -0.158
## SexMen -0.058 -0.010 -0.005 -0.003 0.067 -0.010
## ag:PhysDsrd 0.017 -0.937 0.007 -0.024 0.023 -0.006 -0.014
## ag:CllctEff 0.045 -0.972 -0.026 -0.057 0.029 -0.006 0.004 0.940
## PhysDsrd:CE 0.847 -0.024 -0.956 -0.917 -0.025 -0.025 -0.003 -0.002 0.031
## ag:PhysD:CE -0.026 0.849 0.000 0.031 -0.012 0.003 0.023 -0.956 -0.915
## PhD:CE
## age
## PhysDisordr
## CllctEffccy
## PovStatBelw
## RaceAfrAm
## SexMen
## ag:PhysDsrd
## ag:CllctEff
## PhysDsrd:CE
## ag:PhysD:CE -0.002
Mini Mental Satus Exam (Model 1)
#Load data file
load(file="/Users/meganwilliams/Desktop/Neighborhood and Cognitive Function/Data/MMStot.Rda")
#Run regression model
MMSE = lmer(MMStot~age + PhysDisorder + CollectEfficacy + PovStat + Race + Sex + (1|HNDid) + age*PhysDisorder + age*CollectEfficacy, data=MMStot)
#Summary of results
summary(MMSE)
## Linear mixed model fit by REML t-tests use Satterthwaite approximations
## to degrees of freedom [lmerMod]
## Formula: MMStot ~ age + PhysDisorder + CollectEfficacy + PovStat + Race +
## Sex + (1 | HNDid) + age * PhysDisorder + age * CollectEfficacy
## Data: MMStot
##
## REML criterion at convergence: 14362.4
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.4332632 -0.3346682 0.1086971 0.4721232 2.9486890
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 2.642309 1.625518
## Residual 1.676024 1.294613
## Number of obs: 3464, groups: HNDid, 2234
##
## Fixed effects:
## Estimate Std. Error df t value
## (Intercept) 2.830189e+01 2.467918e-01 3.238555e+03 114.67923
## age -8.994648e-02 2.487409e-02 2.932752e+03 -3.61607
## PhysDisorder -3.890356e-03 3.709394e-02 3.161895e+03 -0.10488
## CollectEfficacy 5.311172e-02 4.812903e-02 3.029712e+03 1.10353
## PovStatBelow -6.179343e-01 8.678428e-02 1.945306e+03 -7.12035
## RaceAfrAm -6.704721e-01 8.552148e-02 1.881288e+03 -7.83981
## SexMen -4.112917e-01 8.392667e-02 1.894760e+03 -4.90061
## age:PhysDisorder 8.012697e-03 3.951821e-03 3.063446e+03 2.02760
## age:CollectEfficacy 1.204494e-02 5.047368e-03 2.882607e+03 2.38638
## Pr(>|t|)
## (Intercept) < 2.22e-16
## age 0.00030415
## PhysDisorder 0.91647890
## CollectEfficacy 0.26988574
## PovStatBelow 1.5086e-12
## RaceAfrAm 7.5495e-15
## SexMen 1.0367e-06
## age:PhysDisorder 0.04268791
## age:CollectEfficacy 0.01707932
##
## Correlation of Fixed Effects:
## (Intr) age PhysDs CllctE PvSttB RcAfrA SexMen ag:PhD
## age 0.033
## PhysDisordr -0.763 -0.023
## CllctEffccy -0.879 -0.026 0.527
## PovStatBelw -0.120 -0.017 -0.078 0.058
## RaceAfrAm -0.219 0.014 0.079 0.003 -0.153
## SexMen -0.121 -0.035 -0.034 -0.022 0.061 -0.009
## ag:PhysDsrd -0.041 -0.805 0.063 0.021 0.024 -0.006 0.020
## ag:CllctEff -0.027 -0.915 0.004 0.020 0.023 -0.009 0.039 0.544
Mini Mental Satus Exam (Model 2)
#Load data file
load(file="/Users/meganwilliams/Desktop/Neighborhood and Cognitive Function/Data/MMStot.Rda")
#Run regression model
MMSE = lmer(MMStot~(age + PhysDisorder + CollectEfficacy)^3 + PovStat + Race + Sex + (1|HNDid), data=MMStot)
#Summary of results
summary(MMSE)
## Linear mixed model fit by REML t-tests use Satterthwaite approximations
## to degrees of freedom [lmerMod]
## Formula: MMStot ~ (age + PhysDisorder + CollectEfficacy)^3 + PovStat +
## Race + Sex + (1 | HNDid)
## Data: MMStot
##
## REML criterion at convergence: 14373.8
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.4251141 -0.3360574 0.1089946 0.4713174 2.9438124
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 2.647036 1.626971
## Residual 1.672856 1.293389
## Number of obs: 3464, groups: HNDid, 2234
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 2.794952e+01 4.471404e-01 2.822128e+03
## age -3.622302e-02 4.544287e-02 2.637296e+03
## PhysDisorder 1.022493e-01 1.230391e-01 2.683341e+03
## CollectEfficacy 1.525096e-01 1.156072e-01 2.718908e+03
## PovStatBelow -6.160591e-01 8.683731e-02 1.947345e+03
## RaceAfrAm -6.672734e-01 8.559052e-02 1.885091e+03
## SexMen -4.080855e-01 8.397823e-02 1.896635e+03
## age:PhysDisorder -9.124161e-03 1.297720e-02 2.551351e+03
## age:CollectEfficacy -3.347617e-03 1.200614e-02 2.618812e+03
## PhysDisorder:CollectEfficacy -3.182073e-02 3.502318e-02 2.673367e+03
## age:PhysDisorder:CollectEfficacy 5.174535e-03 3.732493e-03 2.550796e+03
## t value Pr(>|t|)
## (Intercept) 62.50727 < 2.22e-16
## age -0.79711 0.42546
## PhysDisorder 0.83103 0.40603
## CollectEfficacy 1.31920 0.18721
## PovStatBelow -7.09441 1.8112e-12
## RaceAfrAm -7.79611 1.0436e-14
## SexMen -4.85942 1.2741e-06
## age:PhysDisorder -0.70309 0.48206
## age:CollectEfficacy -0.27883 0.78040
## PhysDisorder:CollectEfficacy -0.90856 0.36366
## age:PhysDisorder:CollectEfficacy 1.38635 0.16576
##
## Correlation of Fixed Effects:
## (Intr) age PhysDs CllctE PvSttB RcAfrA SexMen ag:PhD ag:ClE
## age 0.003
## PhysDisordr -0.922 -0.019
## CllctEffccy -0.960 0.003 0.933
## PovStatBelw -0.086 -0.009 -0.001 0.046
## RaceAfrAm -0.146 0.013 0.052 0.028 -0.152
## SexMen -0.076 -0.002 0.000 0.001 0.061 -0.008
## ag:PhysDsrd -0.020 -0.931 0.047 0.016 0.007 -0.007 -0.013
## ag:CllctEff 0.003 -0.970 0.015 -0.007 0.009 -0.010 -0.002 0.934
## PhysDsrd:CE 0.834 0.013 -0.953 -0.909 -0.024 -0.030 -0.011 -0.041 -0.013
## ag:PhysD:CE 0.013 0.837 -0.043 -0.013 0.000 0.006 0.020 -0.953 -0.907
## PhD:CE
## age
## PhysDisordr
## CllctEffccy
## PovStatBelw
## RaceAfrAm
## SexMen
## ag:PhysDsrd
## ag:CllctEff
## PhysDsrd:CE
## ag:PhysD:CE 0.042
Verbal Fluency (Model 1)
#Load data file
load(file="/Users/meganwilliams/Desktop/Neighborhood and Cognitive Function/Data/FluencyWord.Rda")
#Run regression model
Fluency = lmer(FluencyWord~age + PhysDisorder + CollectEfficacy + PovStat + Race + Sex + (1|HNDid) + age*PhysDisorder + age*CollectEfficacy, data=FluencyWord)
#Test for multicolinearity
vif.lme(Fluency)
## Error in vif.lme(Fluency): could not find function "vif.lme"
#Summary of results
summary(Fluency)
## Linear mixed model fit by REML t-tests use Satterthwaite approximations
## to degrees of freedom [lmerMod]
## Formula: FluencyWord ~ age + PhysDisorder + CollectEfficacy + PovStat +
## Race + Sex + (1 | HNDid) + age * PhysDisorder + age * CollectEfficacy
## Data: FluencyWord
##
## REML criterion at convergence: 21213
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.3847753 -0.5029703 -0.0123577 0.4401155 2.7576278
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 18.165479 4.262098
## Residual 9.152161 3.025254
## Number of obs: 3573, groups: HNDid, 2254
##
## Fixed effects:
## Estimate Std. Error df t value
## (Intercept) 2.051589e+01 5.913665e-01 3.303112e+03 34.69235
## age 1.934112e-02 5.915080e-02 3.004256e+03 0.32698
## PhysDisorder -5.291982e-02 8.839591e-02 3.166304e+03 -0.59867
## CollectEfficacy -7.813240e-02 1.144505e-01 3.093216e+03 -0.68267
## PovStatBelow -1.196302e+00 2.184978e-01 2.276549e+03 -5.47512
## RaceAfrAm -1.820099e+00 2.157939e-01 2.223533e+03 -8.43443
## SexMen 8.347576e-01 2.113265e-01 2.225691e+03 3.95008
## age:PhysDisorder -8.602688e-03 9.353676e-03 3.046295e+03 -0.91971
## age:CollectEfficacy -1.738963e-02 1.202180e-02 2.993617e+03 -1.44651
## Pr(>|t|)
## (Intercept) < 2.22e-16
## age 0.74371
## PhysDisorder 0.54944
## CollectEfficacy 0.49486
## PovStatBelow 4.8527e-08
## RaceAfrAm < 2.22e-16
## SexMen 8.0554e-05
## age:PhysDisorder 0.35780
## age:CollectEfficacy 0.14814
##
## Correlation of Fixed Effects:
## (Intr) age PhysDs CllctE PvSttB RcAfrA SexMen ag:PhD
## age 0.021
## PhysDisordr -0.754 -0.010
## CllctEffccy -0.873 -0.016 0.519
## PovStatBelw -0.124 -0.019 -0.075 0.055
## RaceAfrAm -0.232 0.016 0.079 0.008 -0.158
## SexMen -0.136 -0.035 -0.026 -0.016 0.057 -0.011
## ag:PhysDsrd -0.033 -0.800 0.052 0.015 0.025 -0.005 0.022
## ag:CllctEff -0.016 -0.914 -0.005 0.010 0.024 -0.013 0.038 0.541
Verbal Fluency (Model 2)
#Load data file
load(file="/Users/meganwilliams/Desktop/Neighborhood and Cognitive Function/Data/FluencyWord.Rda")
#Run regression model
Fluency = lmer(FluencyWord~(age + PhysDisorder + CollectEfficacy)^3 + PovStat + Race + Sex + (1|HNDid), data=FluencyWord)
#Test for multicolinearity
vif.lme(Fluency)
## Error in vif.lme(Fluency): could not find function "vif.lme"
#Summary of results
summary(Fluency)
## Linear mixed model fit by REML t-tests use Satterthwaite approximations
## to degrees of freedom [lmerMod]
## Formula:
## FluencyWord ~ (age + PhysDisorder + CollectEfficacy)^3 + PovStat +
## Race + Sex + (1 | HNDid)
## Data: FluencyWord
##
## REML criterion at convergence: 21215.6
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.3520562 -0.4986891 -0.0112980 0.4473831 2.7622804
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 18.075322 4.251508
## Residual 9.162354 3.026938
## Number of obs: 3573, groups: HNDid, 2254
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 1.846611e+01 1.061040e+00 2.922422e+03
## age 1.705262e-01 1.072673e-01 2.750276e+03
## PhysDisorder 5.749819e-01 2.916917e-01 2.800613e+03
## CollectEfficacy 4.991431e-01 2.732336e-01 2.825457e+03
## PovStatBelow -1.182541e+00 2.181891e-01 2.274282e+03
## RaceAfrAm -1.802163e+00 2.155195e-01 2.223052e+03
## SexMen 8.467268e-01 2.110155e-01 2.223479e+03
## age:PhysDisorder -5.568475e-02 3.063098e-02 2.670832e+03
## age:CollectEfficacy -6.086159e-02 2.830576e-02 2.745258e+03
## PhysDisorder:CollectEfficacy -1.878865e-01 8.295258e-02 2.802079e+03
## age:PhysDisorder:CollectEfficacy 1.427917e-02 8.813322e-03 2.686193e+03
## t value Pr(>|t|)
## (Intercept) 17.40378 < 2.22e-16
## age 1.58973 0.112010
## PhysDisorder 1.97120 0.048800
## CollectEfficacy 1.82680 0.067835
## PovStatBelow -5.41980 6.5966e-08
## RaceAfrAm -8.36195 < 2.22e-16
## SexMen 4.01263 6.2033e-05
## age:PhysDisorder -1.81792 0.069188
## age:CollectEfficacy -2.15015 0.031631
## PhysDisorder:CollectEfficacy -2.26499 0.023590
## age:PhysDisorder:CollectEfficacy 1.62018 0.105311
##
## Correlation of Fixed Effects:
## (Intr) age PhysDs CllctE PvSttB RcAfrA SexMen ag:PhD ag:ClE
## age 0.001
## PhysDisordr -0.918 -0.026
## CllctEffccy -0.958 0.001 0.931
## PovStatBelw -0.088 -0.006 -0.001 0.044
## RaceAfrAm -0.151 0.020 0.049 0.028 -0.158
## SexMen -0.084 -0.003 0.001 0.002 0.058 -0.011
## ag:PhysDsrd -0.025 -0.929 0.062 0.024 0.003 -0.013 -0.012
## ag:CllctEff 0.003 -0.969 0.024 -0.005 0.005 -0.017 -0.002 0.932
## PhysDsrd:CE 0.830 0.023 -0.953 -0.908 -0.023 -0.027 -0.009 -0.057 -0.023
## ag:PhysD:CE 0.019 0.834 -0.058 -0.022 0.005 0.012 0.020 -0.952 -0.905
## PhD:CE
## age
## PhysDisordr
## CllctEffccy
## PovStatBelw
## RaceAfrAm
## SexMen
## ag:PhysDsrd
## ag:CllctEff
## PhysDsrd:CE
## ag:PhysD:CE 0.058