## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: PA_avg ~ pre_ema_RE + (1 | subject)
## Data: df
##
## REML criterion at convergence: 31474.5
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.3963 -0.5650 0.0435 0.6169 3.8597
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 107.7 10.38
## Residual 275.5 16.60
## Number of obs: 3687, groups: subject, 126
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 50.6873 1.0880 179.6046 46.589 <0.0000000000000002 ***
## pre_ema_RE 0.6489 0.3035 3632.0611 2.138 0.0326 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## pre_ema_RE -0.418
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: PA_avg ~ post_ema_RE + (1 | subject)
## Data: df
##
## REML criterion at convergence: 31469.7
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.3576 -0.5617 0.0524 0.6161 3.9030
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 107.5 10.37
## Residual 275.1 16.59
## Number of obs: 3687, groups: subject, 126
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 50.3133 1.0766 172.0256 46.735 < 0.0000000000000002 ***
## post_ema_RE 0.7277 0.2320 3624.7552 3.137 0.00172 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## post_ema_RE -0.399
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: post_reveal_entropy ~ actual_grade + PE + PA_BC_mean + (1 | subject)
## Data: df
##
## REML criterion at convergence: 687.4
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.7959 -0.6607 -0.0511 0.5899 4.5083
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 0.006714 0.08194
## Residual 0.298858 0.54668
## Number of obs: 396, groups: subject, 122
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 1.154264 0.155012 253.192732 7.446 0.00000000000151 ***
## actual_grade 0.003634 0.002063 246.044899 1.761 0.07949 .
## PE -0.002085 0.002624 369.052345 -0.795 0.42728
## PA_BC_mean 0.004491 0.001670 388.490665 2.689 0.00747 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) actl_g PE
## actual_grad -0.983
## PE 0.455 -0.466
## PA_BC_mean 0.319 -0.302 -0.166
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: post_reveal_entropy ~ actual_grade + PE + PA_initial_Displacement +
## (1 | subject)
## Data: df
##
## REML criterion at convergence: 687.2
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.5972 -0.6719 -0.0573 0.6149 4.7704
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 0.001201 0.03465
## Residual 0.308847 0.55574
## Number of obs: 392, groups: subject, 120
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 1.055874 0.157715 252.245524 6.695 0.000000000139
## actual_grade 0.004950 0.002065 240.546648 2.397 0.0173
## PE -0.001854 0.002685 355.991381 -0.691 0.4903
## PA_initial_Displacement 0.001100 0.001276 385.580438 0.862 0.3891
##
## (Intercept) ***
## actual_grade *
## PE
## PA_initial_Displacement
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) actl_g PE
## actual_grad -0.982
## PE 0.426 -0.454
## PA_ntl_Dspl 0.334 -0.275 -0.231
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: (post_reveal_entropy - mean_re) ~ actual_grade + PE + PA_BC_mean +
## (1 | subject)
## Data: df
##
## REML criterion at convergence: 719.2
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.6441 -0.5865 -0.0239 0.5243 4.7644
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 0.03838 0.1959
## Residual 0.29819 0.5461
## Number of obs: 396, groups: subject, 122
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) -1.320660 0.168764 288.993891 -7.825 0.000000000000096 ***
## actual_grade 0.003824 0.002250 284.221108 1.699 0.09036 .
## PE -0.002348 0.002767 385.753964 -0.848 0.39670
## PA_BC_mean 0.005581 0.001743 391.635471 3.203 0.00147 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) actl_g PE
## actual_grad -0.980
## PE 0.457 -0.468
## PA_BC_mean 0.330 -0.313 -0.158
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula:
## (post_reveal_entropy - mean_re) ~ actual_grade + PE + PA_initial_Displacement +
## (1 | subject)
## Data: df
##
## REML criterion at convergence: 722
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.4528 -0.5901 -0.0447 0.5679 5.0610
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 0.03568 0.1889
## Residual 0.30807 0.5550
## Number of obs: 392, groups: subject, 120
##
## Fixed effects:
## Estimate Std. Error df t value
## (Intercept) -1.455479 0.173061 288.188230 -8.410
## actual_grade 0.005568 0.002273 279.818879 2.450
## PE -0.001481 0.002855 378.546272 -0.519
## PA_initial_Displacement 0.000911 0.001321 374.573582 0.689
## Pr(>|t|)
## (Intercept) 0.00000000000000192 ***
## actual_grade 0.0149 *
## PE 0.6041
## PA_initial_Displacement 0.4910
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) actl_g PE
## actual_grad -0.979
## PE 0.431 -0.457
## PA_ntl_Dspl 0.334 -0.279 -0.229
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: post_reveal_entropy ~ actual_grade + PE + (1 | subject)
## Data: df
##
## REML criterion at convergence: 720.7
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.5093 -0.6715 -0.0334 0.5871 4.8316
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 0.007002 0.08368
## Residual 0.299932 0.54766
## Number of obs: 421, groups: subject, 125
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 1.118164 0.138706 247.021941 8.061 0.0000000000000325 ***
## actual_grade 0.004104 0.001870 242.230881 2.195 0.0291 *
## PE 0.001088 0.002480 386.033213 0.439 0.6611
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) actl_g
## actual_grad -0.980
## PE 0.511 -0.517
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: (post_reveal_entropy - mean_re) ~ actual_grade + PE + (1 | subject)
## Data: df
##
## REML criterion at convergence: 766.2
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.2323 -0.6458 -0.0336 0.5638 5.0083
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 0.0535 0.2313
## Residual 0.2982 0.5460
## Number of obs: 421, groups: subject, 125
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) -1.412418 0.156570 301.027137 -9.021 <0.0000000000000002 ***
## actual_grade 0.005086 0.002113 300.999726 2.408 0.0167 *
## PE 0.001048 0.002669 411.102678 0.393 0.6948
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) actl_g
## actual_grad -0.976
## PE 0.519 -0.526