Categorical Word Attack
##Interactions with Word Attack and Arousal in Quarters
M2a = glmer(GatesScore ~ WordAttack.Quarters + zNarrativity + zWordConcreteness + zSyntacticSimplicity + zRefCohesion + zDeepCohesion + zArousal
+ (1|ID),data = Emotion_Data, family = binomial)## Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :
## Model failed to converge with max|grad| = 0.00147137 (tol = 0.001, component 1)summary(M2a)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: GatesScore ~ WordAttack.Quarters + zNarrativity + zWordConcreteness +
## zSyntacticSimplicity + zRefCohesion + zDeepCohesion + zArousal +
## (1 | ID)
## Data: Emotion_Data
##
## AIC BIC logLik deviance df.resid
## 7719.7 7796.4 -3848.8 7697.7 7861
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.7552 -0.5789 0.3250 0.5306 2.8032
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.032 1.016
## Number of obs: 7872, groups: ID, 164
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.97880 0.17161 11.531 < 2e-16 ***
## WordAttack.Quarterslow -2.19726 0.24330 -9.031 < 2e-16 ***
## WordAttack.Quartersmedium_high -0.28252 0.24416 -1.157 0.24723
## WordAttack.Quartersmedium_low -0.73832 0.23718 -3.113 0.00185 **
## zNarrativity 0.24918 0.04349 5.729 1.01e-08 ***
## zWordConcreteness -0.45286 0.04664 -9.710 < 2e-16 ***
## zSyntacticSimplicity -0.33473 0.05154 -6.494 8.34e-11 ***
## zRefCohesion -0.08453 0.05076 -1.665 0.09582 .
## zDeepCohesion 0.27054 0.03370 8.027 1.00e-15 ***
## zArousal 0.22948 0.04126 5.561 2.68e-08 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) WrdA.Q WrdAttck.Qrtrsmdm_h WrdAttck.Qrtrsmdm_l
## WrdAttck.Qr -0.706
## WrdAttck.Qrtrsmdm_h -0.696 0.491
## WrdAttck.Qrtrsmdm_l -0.718 0.512 0.503
## zNarrativty 0.023 -0.015 -0.001 -0.003
## zWrdCncrtns -0.036 0.023 0.002 0.008
## zSyntctcSmp -0.026 0.015 0.001 0.005
## zRefCohesin -0.008 0.004 0.000 0.000
## zDeepCohesn 0.029 -0.018 -0.002 -0.008
## zArousal 0.021 -0.015 -0.001 -0.004
## zNrrtv zWrdCn zSyntS zRfChs zDpChs
## WrdAttck.Qr
## WrdAttck.Qrtrsmdm_h
## WrdAttck.Qrtrsmdm_l
## zNarrativty
## zWrdCncrtns 0.334
## zSyntctcSmp -0.066 0.529
## zRefCohesin -0.477 -0.030 0.617
## zDeepCohesn -0.036 -0.122 -0.245 -0.314
## zArousal 0.178 -0.198 0.248 0.370 -0.411
## convergence code: 0
## Model failed to converge with max|grad| = 0.00147137 (tol = 0.001, component 1)M9 = glmer(GatesScore ~ zNarrativity + zWordConcreteness + zSyntacticSimplicity + zRefCohesion + zDeepCohesion + WordAttack.Quarters*zArousal
+ (1|ID),data = Emotion_Data, family = binomial)## Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :
## Model failed to converge with max|grad| = 0.00694542 (tol = 0.001, component 1)summary(M9)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula:
## GatesScore ~ zNarrativity + zWordConcreteness + zSyntacticSimplicity +
## zRefCohesion + zDeepCohesion + WordAttack.Quarters * zArousal +
## (1 | ID)
## Data: Emotion_Data
##
## AIC BIC logLik deviance df.resid
## 7710.9 7808.5 -3841.5 7682.9 7858
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.8066 -0.5675 0.3227 0.5325 2.7321
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.036 1.018
## Number of obs: 7872, groups: ID, 164
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.98666 0.17215 11.540 < 2e-16
## zNarrativity 0.25305 0.04365 5.797 6.76e-09
## zWordConcreteness -0.45455 0.04668 -9.738 < 2e-16
## zSyntacticSimplicity -0.33561 0.05119 -6.556 5.54e-11
## zRefCohesion -0.08316 0.05071 -1.640 0.10104
## zDeepCohesion 0.26822 0.03378 7.941 2.00e-15
## WordAttack.Quarterslow -2.20568 0.24394 -9.042 < 2e-16
## WordAttack.Quartersmedium_high -0.27321 0.24503 -1.115 0.26484
## WordAttack.Quartersmedium_low -0.74726 0.23781 -3.142 0.00168
## zArousal 0.31378 0.07026 4.466 7.98e-06
## WordAttack.Quarterslow:zArousal -0.18585 0.08195 -2.268 0.02334
## WordAttack.Quartersmedium_high:zArousal 0.08625 0.08783 0.982 0.32607
## WordAttack.Quartersmedium_low:zArousal -0.15529 0.08307 -1.869 0.06158
##
## (Intercept) ***
## zNarrativity ***
## zWordConcreteness ***
## zSyntacticSimplicity ***
## zRefCohesion
## zDeepCohesion ***
## WordAttack.Quarterslow ***
## WordAttack.Quartersmedium_high
## WordAttack.Quartersmedium_low **
## zArousal ***
## WordAttack.Quarterslow:zArousal *
## WordAttack.Quartersmedium_high:zArousal
## WordAttack.Quartersmedium_low:zArousal .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Correlation matrix not shown by default, as p = 13 > 12.
## Use print(x, correlation=TRUE) or
## vcov(x) if you need it## convergence code: 0
## Model failed to converge with max|grad| = 0.00694542 (tol = 0.001, component 1)plot(effect("WordAttack.Quarters:zArousal", M9), multiline=TRUE)
M10 = glmer(GatesScore ~ WordAttack.Quarters*zNarrativity + zWordConcreteness + zSyntacticSimplicity + zRefCohesion + zDeepCohesion + zArousal
+ (1|ID),data = Emotion_Data, family = binomial)## Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :
## Model failed to converge with max|grad| = 0.00770289 (tol = 0.001, component 1)summary(M10)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: GatesScore ~ WordAttack.Quarters * zNarrativity + zWordConcreteness +
## zSyntacticSimplicity + zRefCohesion + zDeepCohesion + zArousal +
## (1 | ID)
## Data: Emotion_Data
##
## AIC BIC logLik deviance df.resid
## 7713.3 7810.8 -3842.6 7685.3 7858
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -7.5881 -0.5828 0.3253 0.5301 3.0044
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.035 1.017
## Number of obs: 7872, groups: ID, 164
##
## Fixed effects:
## Estimate Std. Error z value
## (Intercept) 1.99748 0.17248 11.581
## WordAttack.Quarterslow -2.21624 0.24408 -9.080
## WordAttack.Quartersmedium_high -0.31012 0.24505 -1.266
## WordAttack.Quartersmedium_low -0.73553 0.23828 -3.087
## zNarrativity 0.33823 0.07469 4.529
## zWordConcreteness -0.46133 0.04696 -9.824
## zSyntacticSimplicity -0.34270 0.05206 -6.582
## zRefCohesion -0.09005 0.05098 -1.767
## zDeepCohesion 0.27238 0.03373 8.076
## zArousal 0.23446 0.04137 5.667
## WordAttack.Quarterslow:zNarrativity -0.19477 0.08560 -2.275
## WordAttack.Quartersmedium_high:zNarrativity -0.16981 0.09256 -1.835
## WordAttack.Quartersmedium_low:zNarrativity 0.04098 0.08806 0.465
## Pr(>|z|)
## (Intercept) < 2e-16 ***
## WordAttack.Quarterslow < 2e-16 ***
## WordAttack.Quartersmedium_high 0.20569
## WordAttack.Quartersmedium_low 0.00202 **
## zNarrativity 5.94e-06 ***
## zWordConcreteness < 2e-16 ***
## zSyntacticSimplicity 4.64e-11 ***
## zRefCohesion 0.07730 .
## zDeepCohesion 6.67e-16 ***
## zArousal 1.45e-08 ***
## WordAttack.Quarterslow:zNarrativity 0.02289 *
## WordAttack.Quartersmedium_high:zNarrativity 0.06657 .
## WordAttack.Quartersmedium_low:zNarrativity 0.64167
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Correlation matrix not shown by default, as p = 13 > 12.
## Use print(x, correlation=TRUE) or
## vcov(x) if you need it## convergence code: 0
## Model failed to converge with max|grad| = 0.00770289 (tol = 0.001, component 1)plot(effect("WordAttack.Quarters:zNarrativity", M10), multiline=TRUE)
M11 = glmer(GatesScore ~ zNarrativity + WordAttack.Quarters*zWordConcreteness + zSyntacticSimplicity + zRefCohesion + zDeepCohesion + zArousal
+ (1|ID),data = Emotion_Data, family = binomial)## Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :
## Model failed to converge with max|grad| = 0.00523071 (tol = 0.001, component 1)summary(M11)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: GatesScore ~ zNarrativity + WordAttack.Quarters * zWordConcreteness +
## zSyntacticSimplicity + zRefCohesion + zDeepCohesion + zArousal +
## (1 | ID)
## Data: Emotion_Data
##
## AIC BIC logLik deviance df.resid
## 7719.3 7816.9 -3845.7 7691.3 7858
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.9362 -0.5767 0.3233 0.5282 2.8905
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.033 1.016
## Number of obs: 7872, groups: ID, 164
##
## Fixed effects:
## Estimate Std. Error z value
## (Intercept) 1.98910 0.17205 11.561
## zNarrativity 0.25090 0.04355 5.761
## WordAttack.Quarterslow -2.20725 0.24369 -9.058
## WordAttack.Quartersmedium_high -0.30043 0.24463 -1.228
## WordAttack.Quartersmedium_low -0.74224 0.23769 -3.123
## zWordConcreteness -0.52760 0.07325 -7.203
## zSyntacticSimplicity -0.33465 0.05170 -6.472
## zRefCohesion -0.08438 0.05082 -1.660
## zDeepCohesion 0.27062 0.03374 8.020
## zArousal 0.22954 0.04128 5.561
## WordAttack.Quarterslow:zWordConcreteness 0.10634 0.08234 1.291
## WordAttack.Quartersmedium_high:zWordConcreteness 0.18402 0.08706 2.114
## WordAttack.Quartersmedium_low:zWordConcreteness 0.01097 0.08323 0.132
## Pr(>|z|)
## (Intercept) < 2e-16 ***
## zNarrativity 8.36e-09 ***
## WordAttack.Quarterslow < 2e-16 ***
## WordAttack.Quartersmedium_high 0.21940
## WordAttack.Quartersmedium_low 0.00179 **
## zWordConcreteness 5.89e-13 ***
## zSyntacticSimplicity 9.64e-11 ***
## zRefCohesion 0.09683 .
## zDeepCohesion 1.06e-15 ***
## zArousal 2.69e-08 ***
## WordAttack.Quarterslow:zWordConcreteness 0.19655
## WordAttack.Quartersmedium_high:zWordConcreteness 0.03455 *
## WordAttack.Quartersmedium_low:zWordConcreteness 0.89512
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Correlation matrix not shown by default, as p = 13 > 12.
## Use print(x, correlation=TRUE) or
## vcov(x) if you need it## convergence code: 0
## Model failed to converge with max|grad| = 0.00523071 (tol = 0.001, component 1)plot(effect("WordAttack.Quarters:zWordConcreteness", M11), multiline=TRUE)
M12 = glmer(GatesScore ~ zNarrativity + zWordConcreteness + WordAttack.Quarters*zSyntacticSimplicity + zRefCohesion + zDeepCohesion + zArousal
+ (1|ID),data = Emotion_Data, family = binomial)## Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :
## Model failed to converge with max|grad| = 0.00496476 (tol = 0.001, component 1)summary(M12)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: GatesScore ~ zNarrativity + zWordConcreteness + WordAttack.Quarters *
## zSyntacticSimplicity + zRefCohesion + zDeepCohesion + zArousal +
## (1 | ID)
## Data: Emotion_Data
##
## AIC BIC logLik deviance df.resid
## 7721.0 7818.6 -3846.5 7693.0 7858
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.7185 -0.5775 0.3218 0.5344 2.8819
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.034 1.017
## Number of obs: 7872, groups: ID, 164
##
## Fixed effects:
## Estimate Std. Error z value
## (Intercept) 1.97555 0.17175 11.502
## zNarrativity 0.24874 0.04349 5.720
## zWordConcreteness -0.45204 0.04662 -9.697
## WordAttack.Quarterslow -2.19393 0.24352 -9.009
## WordAttack.Quartersmedium_high -0.27344 0.24446 -1.119
## WordAttack.Quartersmedium_low -0.73598 0.23740 -3.100
## zSyntacticSimplicity -0.23231 0.07617 -3.050
## zRefCohesion -0.08295 0.05076 -1.634
## zDeepCohesion 0.26902 0.03373 7.975
## zArousal 0.22911 0.04123 5.557
## WordAttack.Quarterslow:zSyntacticSimplicity -0.12848 0.08136 -1.579
## WordAttack.Quartersmedium_high:zSyntacticSimplicity -0.17859 0.08545 -2.090
## WordAttack.Quartersmedium_low:zSyntacticSimplicity -0.08654 0.08121 -1.066
## Pr(>|z|)
## (Intercept) < 2e-16 ***
## zNarrativity 1.07e-08 ***
## zWordConcreteness < 2e-16 ***
## WordAttack.Quarterslow < 2e-16 ***
## WordAttack.Quartersmedium_high 0.26333
## WordAttack.Quartersmedium_low 0.00193 **
## zSyntacticSimplicity 0.00229 **
## zRefCohesion 0.10222
## zDeepCohesion 1.53e-15 ***
## zArousal 2.74e-08 ***
## WordAttack.Quarterslow:zSyntacticSimplicity 0.11431
## WordAttack.Quartersmedium_high:zSyntacticSimplicity 0.03662 *
## WordAttack.Quartersmedium_low:zSyntacticSimplicity 0.28660
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Correlation matrix not shown by default, as p = 13 > 12.
## Use print(x, correlation=TRUE) or
## vcov(x) if you need it## convergence code: 0
## Model failed to converge with max|grad| = 0.00496476 (tol = 0.001, component 1)plot(effect("WordAttack.Quarters:zSyntacticSimplicity", M12), multiline=TRUE)
M13 = glmer(GatesScore ~ zNarrativity + zWordConcreteness + zSyntacticSimplicity + WordAttack.Quarters*zRefCohesion + zDeepCohesion + zArousal
+ (1|ID),data = Emotion_Data, family = binomial)## Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :
## Model failed to converge with max|grad| = 0.0055593 (tol = 0.001, component 1)summary(M13)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula:
## GatesScore ~ zNarrativity + zWordConcreteness + zSyntacticSimplicity +
## WordAttack.Quarters * zRefCohesion + zDeepCohesion + zArousal +
## (1 | ID)
## Data: Emotion_Data
##
## AIC BIC logLik deviance df.resid
## 7718.0 7815.6 -3845.0 7690.0 7858
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -7.0073 -0.5768 0.3211 0.5294 2.8042
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.034 1.017
## Number of obs: 7872, groups: ID, 164
##
## Fixed effects:
## Estimate Std. Error z value
## (Intercept) 1.97346 0.17178 11.489
## zNarrativity 0.24848 0.04353 5.709
## zWordConcreteness -0.45199 0.04665 -9.689
## zSyntacticSimplicity -0.33402 0.05151 -6.485
## WordAttack.Quarterslow -2.19026 0.24359 -8.992
## WordAttack.Quartersmedium_high -0.28318 0.24446 -1.158
## WordAttack.Quartersmedium_low -0.72324 0.23760 -3.044
## zRefCohesion -0.14735 0.07405 -1.990
## zDeepCohesion 0.27030 0.03374 8.011
## zArousal 0.22931 0.04129 5.554
## WordAttack.Quarterslow:zRefCohesion 0.06277 0.08061 0.779
## WordAttack.Quartersmedium_high:zRefCohesion -0.02147 0.08507 -0.252
## WordAttack.Quartersmedium_low:zRefCohesion 0.17897 0.08125 2.203
## Pr(>|z|)
## (Intercept) < 2e-16 ***
## zNarrativity 1.14e-08 ***
## zWordConcreteness < 2e-16 ***
## zSyntacticSimplicity 8.88e-11 ***
## WordAttack.Quarterslow < 2e-16 ***
## WordAttack.Quartersmedium_high 0.24670
## WordAttack.Quartersmedium_low 0.00233 **
## zRefCohesion 0.04660 *
## zDeepCohesion 1.14e-15 ***
## zArousal 2.79e-08 ***
## WordAttack.Quarterslow:zRefCohesion 0.43614
## WordAttack.Quartersmedium_high:zRefCohesion 0.80071
## WordAttack.Quartersmedium_low:zRefCohesion 0.02763 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Correlation matrix not shown by default, as p = 13 > 12.
## Use print(x, correlation=TRUE) or
## vcov(x) if you need it## convergence code: 0
## Model failed to converge with max|grad| = 0.0055593 (tol = 0.001, component 1)plot(effect("WordAttack.Quarters:zRefCohesion", M13), multiline=TRUE)
M14 = glmer(GatesScore ~ zNarrativity + zWordConcreteness + zSyntacticSimplicity + zRefCohesion + WordAttack.Quarters*zDeepCohesion + zArousal
+ (1|ID),data = Emotion_Data, family = binomial)## Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :
## Model failed to converge with max|grad| = 0.00604279 (tol = 0.001, component 1)summary(M14)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula:
## GatesScore ~ zNarrativity + zWordConcreteness + zSyntacticSimplicity +
## zRefCohesion + WordAttack.Quarters * zDeepCohesion + zArousal +
## (1 | ID)
## Data: Emotion_Data
##
## AIC BIC logLik deviance df.resid
## 7723.1 7820.7 -3847.5 7695.1 7858
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.9396 -0.5758 0.3219 0.5281 2.7088
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.032 1.016
## Number of obs: 7872, groups: ID, 164
##
## Fixed effects:
## Estimate Std. Error z value
## (Intercept) 1.97802 0.17193 11.505
## zNarrativity 0.24845 0.04361 5.697
## zWordConcreteness -0.45662 0.04682 -9.752
## zSyntacticSimplicity -0.33877 0.05167 -6.556
## zRefCohesion -0.08470 0.05093 -1.663
## WordAttack.Quarterslow -2.19530 0.24354 -9.014
## WordAttack.Quartersmedium_high -0.27820 0.24471 -1.137
## WordAttack.Quartersmedium_low -0.72959 0.23765 -3.070
## zDeepCohesion 0.26360 0.06705 3.931
## zArousal 0.22917 0.04125 5.555
## WordAttack.Quarterslow:zDeepCohesion -0.05431 0.08346 -0.651
## WordAttack.Quartersmedium_high:zDeepCohesion 0.02544 0.09026 0.282
## WordAttack.Quartersmedium_low:zDeepCohesion 0.06734 0.08510 0.791
## Pr(>|z|)
## (Intercept) < 2e-16 ***
## zNarrativity 1.22e-08 ***
## zWordConcreteness < 2e-16 ***
## zSyntacticSimplicity 5.53e-11 ***
## zRefCohesion 0.09634 .
## WordAttack.Quarterslow < 2e-16 ***
## WordAttack.Quartersmedium_high 0.25559
## WordAttack.Quartersmedium_low 0.00214 **
## zDeepCohesion 8.45e-05 ***
## zArousal 2.77e-08 ***
## WordAttack.Quarterslow:zDeepCohesion 0.51523
## WordAttack.Quartersmedium_high:zDeepCohesion 0.77805
## WordAttack.Quartersmedium_low:zDeepCohesion 0.42882
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Correlation matrix not shown by default, as p = 13 > 12.
## Use print(x, correlation=TRUE) or
## vcov(x) if you need it## convergence code: 0
## Model failed to converge with max|grad| = 0.00604279 (tol = 0.001, component 1)