PA
Agreeableness
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: PA_avg ~ agreeableness * type + (1 | subject)
## Data: megagps
##
## REML criterion at convergence: 235992.3
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.1740 -0.6161 0.0314 0.6236 3.9799
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 134.8 11.61
## Residual 313.3 17.70
## Number of obs: 27276, groups: subject, 639
##
## Fixed effects:
## Estimate Std. Error df t value
## (Intercept) 53.22626 3.38427 6272.66760 15.728
## agreeableness -0.08892 0.13986 7063.49198 -0.636
## type4000 -8.98220 3.72013 16249.40803 -2.414
## type4100 -11.74605 3.85971 17071.16708 -3.043
## type5000 -10.85299 3.67112 9668.36353 -2.956
## agreeableness:type4000 0.34532 0.15487 16641.93078 2.230
## agreeableness:type4100 0.31584 0.16063 17451.05786 1.966
## agreeableness:type5000 0.37379 0.15135 10473.28050 2.470
## Pr(>|t|)
## (Intercept) < 2e-16 ***
## agreeableness 0.52496
## type4000 0.01577 *
## type4100 0.00234 **
## type5000 0.00312 **
## agreeableness:type4000 0.02577 *
## agreeableness:type4100 0.04928 *
## agreeableness:type5000 0.01354 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) agrbln ty4000 ty4100 ty5000 a:4000 a:4100
## agreeablnss -0.981
## type4000 -0.665 0.663
## type4100 -0.641 0.638 0.804
## type5000 -0.739 0.727 0.642 0.620
## agrbln:4000 0.652 -0.665 -0.988 -0.795 -0.634
## agrbln:4100 0.627 -0.640 -0.796 -0.988 -0.611 0.805
## agrbln:5000 0.725 -0.734 -0.637 -0.614 -0.987 0.643 0.621
Openess
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: PA_avg ~ open_mindedness * type + (1 | subject)
## Data: megagps
##
## REML criterion at convergence: 235992.7
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.1298 -0.6162 0.0315 0.6233 3.9869
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 133.5 11.55
## Residual 313.4 17.70
## Number of obs: 27276, groups: subject, 639
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 41.8321 3.3920 6734.7905 12.333 < 2e-16
## open_mindedness 0.4043 0.1448 7657.4515 2.791 0.00526
## type4000 2.5570 3.6884 16780.3537 0.693 0.48816
## type4100 -1.4636 3.8065 17699.0505 -0.385 0.70061
## type5000 2.3387 3.7284 9310.8214 0.627 0.53050
## open_mindedness:type4000 -0.1366 0.1581 17693.5939 -0.864 0.38742
## open_mindedness:type4100 -0.1117 0.1632 18664.0542 -0.684 0.49367
## open_mindedness:type5000 -0.1807 0.1604 9991.7225 -1.127 0.25997
##
## (Intercept) ***
## open_mindedness **
## type4000
## type4100
## type5000
## open_mindedness:type4000
## open_mindedness:type4100
## open_mindedness:type5000
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) opn_mn ty4000 ty4100 ty5000 o_:400 o_:410
## opn_mnddnss -0.981
## type4000 -0.671 0.661
## type4100 -0.654 0.643 0.793
## type5000 -0.761 0.751 0.657 0.633
## opn_mn:4000 0.648 -0.653 -0.988 -0.780 -0.647
## opn_mn:4100 0.631 -0.636 -0.779 -0.987 -0.623 0.785
## opn_mn:5000 0.739 -0.749 -0.637 -0.613 -0.987 0.643 0.618
Neuroticism
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: PA_avg ~ negative_emotionality * type + (1 | subject)
## Data: megagps
##
## REML criterion at convergence: 235889.8
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.1177 -0.6162 0.0311 0.6258 3.9652
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 116.2 10.78
## Residual 313.1 17.69
## Number of obs: 27276, groups: subject, 639
##
## Fixed effects:
## Estimate Std. Error df t value
## (Intercept) 58.94701 1.57384 3788.10796 37.454
## negative_emotionality -0.52407 0.10089 4473.02696 -5.194
## type4000 0.03799 1.56317 22146.98666 0.024
## type4100 -2.23760 1.69121 23247.47191 -1.323
## type5000 3.23550 1.57449 14114.99990 2.055
## negative_emotionality:type4000 -0.03984 0.10173 20494.95793 -0.392
## negative_emotionality:type4100 -0.11191 0.10902 22063.38978 -1.027
## negative_emotionality:type5000 -0.29543 0.10173 12867.52366 -2.904
## Pr(>|t|)
## (Intercept) < 2e-16 ***
## negative_emotionality 0.000000215 ***
## type4000 0.98061
## type4100 0.18583
## type5000 0.03990 *
## negative_emotionality:type4000 0.69534
## negative_emotionality:type4100 0.30465
## negative_emotionality:type5000 0.00369 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) ngtv_m ty4000 ty4100 ty5000 n_:400 n_:410
## ngtv_mtnlty -0.917
## type4000 -0.534 0.511
## type4100 -0.496 0.471 0.698
## type5000 -0.662 0.630 0.557 0.521
## ngtv_m:4000 0.520 -0.587 -0.930 -0.656 -0.532
## ngtv_m:4100 0.487 -0.544 -0.664 -0.933 -0.499 0.724
## ngtv_m:5000 0.648 -0.723 -0.533 -0.493 -0.927 0.599 0.555
Conscientiousness
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: PA_avg ~ conscientiousness * type + (1 | subject)
## Data: megagps
##
## REML criterion at convergence: 235934.5
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.1137 -0.6168 0.0307 0.6240 3.9664
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 129.0 11.36
## Residual 312.9 17.69
## Number of obs: 27276, groups: subject, 639
##
## Fixed effects:
## Estimate Std. Error df t value
## (Intercept) 38.75784 3.22236 4342.63091 12.028
## conscientiousness 0.52984 0.13624 4809.93732 3.889
## type4000 -2.49794 3.27827 17338.82005 -0.762
## type4100 -6.48482 3.42609 18727.72911 -1.893
## type5000 -7.08967 3.47901 8341.60965 -2.038
## conscientiousness:type4000 0.07733 0.14011 17617.71980 0.552
## conscientiousness:type4100 0.10233 0.14632 18958.10462 0.699
## conscientiousness:type5000 0.23799 0.14791 8788.39202 1.609
## Pr(>|t|)
## (Intercept) < 2e-16 ***
## conscientiousness 0.000102 ***
## type4000 0.446088
## type4100 0.058403 .
## type5000 0.041597 *
## conscientiousness:type4000 0.581030
## conscientiousness:type4100 0.484334
## conscientiousness:type5000 0.107648
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) cnscnt ty4000 ty4100 ty5000 c:4000 c:4100
## conscntsnss -0.980
## type4000 -0.619 0.616
## type4100 -0.587 0.584 0.758
## type5000 -0.773 0.766 0.636 0.594
## cnscnt:4000 0.603 -0.619 -0.985 -0.748 -0.623
## cnscnt:4100 0.571 -0.587 -0.748 -0.984 -0.583 0.761
## cnscnt:5000 0.754 -0.769 -0.626 -0.585 -0.986 0.631 0.591
NA
Agreeableness
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: NA_avg ~ agreeableness * type + (1 | subject)
## Data: megagps
##
## REML criterion at convergence: 235926
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.1577 -0.6537 -0.0652 0.6007 4.5610
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 216.4 14.71
## Residual 309.2 17.58
## Number of obs: 27276, groups: subject, 639
##
## Fixed effects:
## Estimate Std. Error df t value
## (Intercept) 42.53533 3.58299 8235.55633 11.871
## agreeableness 0.05492 0.14731 9588.70512 0.373
## type4000 7.87046 3.80258 21499.75822 2.070
## type4100 5.21444 3.93961 22069.02318 1.324
## type5000 1.88660 3.81494 14487.34999 0.495
## agreeableness:type4000 -0.33141 0.15819 21756.60780 -2.095
## agreeableness:type4100 -0.13218 0.16385 22305.02699 -0.807
## agreeableness:type5000 -0.08665 0.15690 15311.02733 -0.552
## Pr(>|t|)
## (Intercept) <2e-16 ***
## agreeableness 0.7093
## type4000 0.0385 *
## type4100 0.1857
## type5000 0.6209
## agreeableness:type4000 0.0362 *
## agreeableness:type4100 0.4199
## agreeableness:type5000 0.5808
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) agrbln ty4000 ty4100 ty5000 a:4000 a:4100
## agreeablnss -0.978
## type4000 -0.639 0.639
## type4100 -0.616 0.615 0.814
## type5000 -0.696 0.686 0.638 0.617
## agrbln:4000 0.624 -0.639 -0.988 -0.806 -0.629
## agrbln:4100 0.601 -0.615 -0.806 -0.988 -0.608 0.815
## agrbln:5000 0.682 -0.691 -0.633 -0.611 -0.987 0.639 0.617
Openess
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: NA_avg ~ open_mindedness * type + (1 | subject)
## Data: megagps
##
## REML criterion at convergence: 235922
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.1576 -0.6552 -0.0620 0.6018 4.5770
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 216.1 14.70
## Residual 309.1 17.58
## Number of obs: 27276, groups: subject, 639
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 52.8076 3.5816 9151.5093 14.744 < 2e-16
## open_mindedness -0.3885 0.1521 10758.2707 -2.554 0.01066
## type4000 -5.9349 3.7677 21892.0203 -1.575 0.11522
## type4100 -7.1485 3.8819 22548.4801 -1.841 0.06556
## type5000 -11.8079 3.8808 14175.3177 -3.043 0.00235
## open_mindedness:type4000 0.2531 0.1612 22466.0638 1.570 0.11634
## open_mindedness:type4100 0.3991 0.1662 23141.2381 2.401 0.01634
## open_mindedness:type5000 0.5048 0.1666 14849.7365 3.030 0.00245
##
## (Intercept) ***
## open_mindedness *
## type4000
## type4100 .
## type5000 **
## open_mindedness:type4000
## open_mindedness:type4100 *
## open_mindedness:type5000 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) opn_mn ty4000 ty4100 ty5000 o_:400 o_:410
## opn_mnddnss -0.978
## type4000 -0.649 0.641
## type4100 -0.634 0.626 0.804
## type5000 -0.723 0.715 0.656 0.632
## opn_mn:4000 0.623 -0.629 -0.988 -0.790 -0.646
## opn_mn:4100 0.609 -0.614 -0.790 -0.987 -0.622 0.795
## opn_mn:5000 0.700 -0.710 -0.635 -0.612 -0.988 0.640 0.617
Neuroticism
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: NA_avg ~ negative_emotionality * type + (1 | subject)
## Data: megagps
##
## REML criterion at convergence: 235796.1
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.1642 -0.6544 -0.0633 0.5987 4.5539
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 190.3 13.79
## Residual 308.6 17.57
## Number of obs: 27276, groups: subject, 639
##
## Fixed effects:
## Estimate Std. Error df t value
## (Intercept) 30.98152 1.71614 4034.75860 18.053
## negative_emotionality 0.86782 0.10876 5500.80022 7.979
## type4000 0.82760 1.58152 25381.32381 0.523
## type4100 0.08586 1.70781 25888.77273 0.050
## type5000 -2.57228 1.61690 19713.29232 -1.591
## negative_emotionality:type4000 -0.09166 0.10321 24538.46186 -0.888
## negative_emotionality:type4100 0.08709 0.11031 25350.97161 0.790
## negative_emotionality:type5000 0.08442 0.10476 18666.92133 0.806
## Pr(>|t|)
## (Intercept) < 2e-16 ***
## negative_emotionality 1.78e-15 ***
## type4000 0.601
## type4100 0.960
## type5000 0.112
## negative_emotionality:type4000 0.375
## negative_emotionality:type4100 0.430
## negative_emotionality:type5000 0.420
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) ngtv_m ty4000 ty4100 ty5000 n_:400 n_:410
## ngtv_mtnlty -0.907
## type4000 -0.484 0.470
## type4100 -0.449 0.432 0.708
## type5000 -0.603 0.580 0.549 0.514
## ngtv_m:4000 0.477 -0.547 -0.929 -0.665 -0.525
## ngtv_m:4100 0.447 -0.508 -0.673 -0.933 -0.493 0.735
## ngtv_m:5000 0.598 -0.679 -0.525 -0.487 -0.927 0.593 0.550
Conscientiousness
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: NA_avg ~ conscientiousness * type + (1 | subject)
## Data: megagps
##
## REML criterion at convergence: 235888.7
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.1576 -0.6531 -0.0630 0.6000 4.5501
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 208.3 14.43
## Residual 309.0 17.58
## Number of obs: 27276, groups: subject, 639
##
## Fixed effects:
## Estimate Std. Error df t value
## (Intercept) 57.528387 3.466412 5913.234555 16.596
## conscientiousness -0.589098 0.145790 6803.544595 -4.041
## type4000 0.067775 3.346526 22254.121536 0.020
## type4100 3.411680 3.489083 23195.400989 0.978
## type5000 0.872535 3.633289 13315.498089 0.240
## conscientiousness:type4000 -0.009129 0.142955 22473.022408 -0.064
## conscientiousness:type4100 -0.065982 0.148948 23363.892578 -0.443
## conscientiousness:type5000 -0.061099 0.154204 13884.327226 -0.396
## Pr(>|t|)
## (Intercept) < 2e-16 ***
## conscientiousness 0.0000539 ***
## type4000 0.984
## type4100 0.328
## type5000 0.810
## conscientiousness:type4000 0.949
## conscientiousness:type4100 0.658
## conscientiousness:type5000 0.692
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) cnscnt ty4000 ty4100 ty5000 c:4000 c:4100
## conscntsnss -0.977
## type4000 -0.595 0.594
## type4100 -0.565 0.565 0.770
## type5000 -0.749 0.745 0.637 0.596
## cnscnt:4000 0.577 -0.595 -0.985 -0.760 -0.624
## cnscnt:4100 0.548 -0.565 -0.760 -0.984 -0.584 0.773
## cnscnt:5000 0.728 -0.745 -0.627 -0.587 -0.986 0.631 0.592
