Categorical Word Attack
Word Attack Halves Interactions
H2a = glmer(GatesScore ~ WordAttack.Halves + zNarrativity + zWordConcreteness + zSyntacticSimplicity + zRefCohesion + zDeepCohesion + zArousal
+ (1|ID),data = Emotion_Data, family = binomial)
summary(H2a)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: GatesScore ~ WordAttack.Halves + zNarrativity + zWordConcreteness +
## zSyntacticSimplicity + zRefCohesion + zDeepCohesion + zArousal +
## (1 | ID)
## Data: Emotion_Data
##
## AIC BIC logLik deviance df.resid
## 7751.6 7814.3 -3866.8 7733.6 7863
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.5870 -0.5833 0.3239 0.5334 2.7582
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.327 1.152
## Number of obs: 7872, groups: ID, 164
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.86662 0.13722 13.603 < 2e-16 ***
## WordAttack.Halveslow -1.31134 0.19141 -6.851 7.34e-12 ***
## zNarrativity 0.24842 0.04341 5.722 1.05e-08 ***
## zWordConcreteness -0.45414 0.04657 -9.751 < 2e-16 ***
## zSyntacticSimplicity -0.33557 0.05145 -6.523 6.91e-11 ***
## zRefCohesion -0.08395 0.05067 -1.657 0.0975 .
## zDeepCohesion 0.27180 0.03365 8.078 6.57e-16 ***
## zArousal 0.22918 0.04121 5.562 2.67e-08 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) WrdA.H zNrrtv zWrdCn zSyntS zRfChs zDpChs
## WrdAttck.Hl -0.713
## zNarrativty 0.027 -0.010
## zWrdCncrtns -0.044 0.018 0.335
## zSyntctcSmp -0.032 0.011 -0.065 0.529
## zRefCohesin -0.010 0.002 -0.476 -0.031 0.617
## zDeepCohesn 0.035 -0.015 -0.035 -0.120 -0.244 -0.315
## zArousal 0.024 -0.011 0.177 -0.199 0.248 0.370 -0.411H9 = glmer(GatesScore ~ zNarrativity + zWordConcreteness + zSyntacticSimplicity + zRefCohesion + zDeepCohesion + WordAttack.Halves*zArousal
+ (1|ID),data = Emotion_Data, family = binomial)
summary(H9)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula:
## GatesScore ~ zNarrativity + zWordConcreteness + zSyntacticSimplicity +
## zRefCohesion + zDeepCohesion + WordAttack.Halves * zArousal + (1 | ID)
## Data: Emotion_Data
##
## AIC BIC logLik deviance df.resid
## 7739.7 7809.4 -3859.9 7719.7 7862
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -7.0038 -0.5815 0.3215 0.5408 2.6636
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.332 1.154
## Number of obs: 7872, groups: ID, 164
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.87888 0.13760 13.654 < 2e-16 ***
## zNarrativity 0.25197 0.04355 5.786 7.21e-09 ***
## zWordConcreteness -0.45584 0.04661 -9.779 < 2e-16 ***
## zSyntacticSimplicity -0.33616 0.05113 -6.574 4.88e-11 ***
## zRefCohesion -0.08238 0.05063 -1.627 0.103690
## zDeepCohesion 0.26939 0.03372 7.990 1.35e-15 ***
## WordAttack.Halveslow -1.32434 0.19184 -6.903 5.09e-12 ***
## zArousal 0.35957 0.05414 6.642 3.10e-11 ***
## WordAttack.Halveslow:zArousal -0.21707 0.05793 -3.747 0.000179 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) zNrrtv zWrdCn zSyntS zRfChs zDpChs WrdA.H zArosl
## zNarrativty 0.028
## zWrdCncrtns -0.044 0.334
## zSyntctcSmp -0.032 -0.069 0.531
## zRefCohesin -0.009 -0.478 -0.032 0.614
## zDeepCohesn 0.034 -0.034 -0.116 -0.240 -0.313
## WrdAttck.Hl -0.714 -0.011 0.019 0.012 0.002 -0.014
## zArousal 0.048 0.148 -0.170 0.180 0.288 -0.333 -0.030
## WrdAttc.H:A -0.033 -0.024 0.021 0.005 -0.010 0.023 0.024 -0.645plot(effect("WordAttack.Halves:zArousal", H9), multiline=TRUE)
H10 = glmer(GatesScore ~ WordAttack.Halves*zNarrativity + zWordConcreteness + zSyntacticSimplicity + zRefCohesion + zDeepCohesion + zArousal
+ (1|ID),data = Emotion_Data, family = binomial)
summary(H10)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: GatesScore ~ WordAttack.Halves * zNarrativity + zWordConcreteness +
## zSyntacticSimplicity + zRefCohesion + zDeepCohesion + zArousal +
## (1 | ID)
## Data: Emotion_Data
##
## AIC BIC logLik deviance df.resid
## 7753.6 7823.3 -3866.8 7733.6 7862
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.5906 -0.5832 0.3238 0.5333 2.7568
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.327 1.152
## Number of obs: 7872, groups: ID, 164
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.866428 0.137353 13.589 < 2e-16 ***
## WordAttack.Halveslow -1.311099 0.191569 -6.844 7.70e-12 ***
## zNarrativity 0.247265 0.056608 4.368 1.25e-05 ***
## zWordConcreteness -0.454061 0.046628 -9.738 < 2e-16 ***
## zSyntacticSimplicity -0.335475 0.051505 -6.513 7.34e-11 ***
## zRefCohesion -0.083875 0.050696 -1.654 0.098 .
## zDeepCohesion 0.271787 0.033651 8.077 6.66e-16 ***
## zArousal 0.229143 0.041222 5.559 2.72e-08 ***
## WordAttack.Halveslow:zNarrativity 0.001891 0.060274 0.031 0.975
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) WrdA.H zNrrtv zWrdCn zSyntS zRfChs zDpChs zArosl
## WrdAttck.Hl -0.714
## zNarrativty 0.050 -0.034
## zWrdCncrtns -0.046 0.020 0.225
## zSyntctcSmp -0.034 0.013 -0.080 0.530
## zRefCohesin -0.011 0.004 -0.388 -0.029 0.617
## zDeepCohesn 0.036 -0.016 -0.016 -0.121 -0.244 -0.315
## zArousal 0.026 -0.012 0.153 -0.200 0.246 0.369 -0.410
## WrdAttc.H:N -0.045 0.040 -0.642 0.049 0.048 0.036 -0.017 -0.028H11 = glmer(GatesScore ~ zNarrativity + WordAttack.Halves*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| = 0.00208571 (tol = 0.001, component 1)summary(H11)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: GatesScore ~ zNarrativity + WordAttack.Halves * zWordConcreteness +
## zSyntacticSimplicity + zRefCohesion + zDeepCohesion + zArousal +
## (1 | ID)
## Data: Emotion_Data
##
## AIC BIC logLik deviance df.resid
## 7753.2 7822.9 -3866.6 7733.2 7862
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.6177 -0.5830 0.3244 0.5338 2.7170
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.328 1.152
## Number of obs: 7872, groups: ID, 164
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.86436 0.13728 13.581 < 2e-16 ***
## zNarrativity 0.24759 0.04344 5.700 1.20e-08 ***
## WordAttack.Halveslow -1.30855 0.19150 -6.833 8.32e-12 ***
## zWordConcreteness -0.43350 0.05733 -7.561 4.00e-14 ***
## zSyntacticSimplicity -0.33456 0.05142 -6.506 7.72e-11 ***
## zRefCohesion -0.08316 0.05069 -1.641 0.101
## zDeepCohesion 0.27147 0.03364 8.070 7.02e-16 ***
## zArousal 0.22925 0.04121 5.563 2.65e-08 ***
## WordAttack.Halveslow:zWordConcreteness -0.03511 0.05727 -0.613 0.540
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) zNrrtv WrdA.H zWrdCn zSyntS zRfChs zDpChs zArosl
## zNarrativty 0.028
## WrdAttck.Hl -0.713 -0.011
## zWrdCncrtns -0.049 0.256 0.027
## zSyntctcSmp -0.032 -0.065 0.012 0.449
## zRefCohesin -0.010 -0.477 0.003 -0.010 0.617
## zDeepCohesn 0.035 -0.035 -0.016 -0.106 -0.243 -0.314
## zArousal 0.024 0.176 -0.011 -0.160 0.248 0.370 -0.411
## WrdAtt.H:WC 0.025 0.029 -0.023 -0.582 -0.032 -0.026 0.015 -0.004
## convergence code: 0
## Model failed to converge with max|grad| = 0.00208571 (tol = 0.001, component 1)H12 = glmer(GatesScore ~ zNarrativity + zWordConcreteness + WordAttack.Halves*zSyntacticSimplicity + zRefCohesion + zDeepCohesion + zArousal
+ (1|ID),data = Emotion_Data, family = binomial)
summary(H12)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: GatesScore ~ zNarrativity + zWordConcreteness + WordAttack.Halves *
## zSyntacticSimplicity + zRefCohesion + zDeepCohesion + zArousal +
## (1 | ID)
## Data: Emotion_Data
##
## AIC BIC logLik deviance df.resid
## 7753.5 7823.2 -3866.7 7733.5 7862
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.5974 -0.5857 0.3239 0.5341 2.7761
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.327 1.152
## Number of obs: 7872, groups: ID, 164
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.86603 0.13727 13.594 < 2e-16
## zNarrativity 0.24831 0.04341 5.720 1.07e-08
## zWordConcreteness -0.45382 0.04657 -9.745 < 2e-16
## WordAttack.Halveslow -1.31059 0.19148 -6.845 7.67e-12
## zSyntacticSimplicity -0.32673 0.06128 -5.332 9.72e-08
## zRefCohesion -0.08371 0.05067 -1.652 0.0985
## zDeepCohesion 0.27146 0.03366 8.064 7.41e-16
## zArousal 0.22909 0.04120 5.561 2.68e-08
## WordAttack.Halveslow:zSyntacticSimplicity -0.01490 0.05652 -0.264 0.7921
##
## (Intercept) ***
## zNarrativity ***
## zWordConcreteness ***
## WordAttack.Halveslow ***
## zSyntacticSimplicity ***
## zRefCohesion .
## zDeepCohesion ***
## zArousal ***
## WordAttack.Halveslow:zSyntacticSimplicity
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) zNrrtv zWrdCn WrdA.H zSyntS zRfChs zDpChs zArosl
## zNarrativty 0.027
## zWrdCncrtns -0.044 0.335
## WrdAttck.Hl -0.713 -0.010 0.018
## zSyntctcSmp -0.034 -0.059 0.456 0.017
## zRefCohesin -0.010 -0.476 -0.031 0.003 0.527
## zDeepCohesn 0.036 -0.035 -0.121 -0.016 -0.226 -0.316
## zArousal 0.025 0.177 -0.199 -0.011 0.203 0.370 -0.410
## WrdAtt.H:SS 0.015 0.009 -0.024 -0.014 -0.543 -0.018 0.039 0.009H13 = glmer(GatesScore ~ zNarrativity + zWordConcreteness + zSyntacticSimplicity + WordAttack.Halves*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| = 0.00109803 (tol = 0.001, component 1)summary(H13)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula:
## GatesScore ~ zNarrativity + zWordConcreteness + zSyntacticSimplicity +
## WordAttack.Halves * zRefCohesion + zDeepCohesion + zArousal + (1 | ID)
## Data: Emotion_Data
##
## AIC BIC logLik deviance df.resid
## 7748.3 7818.0 -3864.2 7728.3 7862
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.6930 -0.5708 0.3230 0.5363 2.7554
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.331 1.154
## Number of obs: 7872, groups: ID, 164
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.86077 0.13739 13.544 < 2e-16 ***
## zNarrativity 0.24905 0.04340 5.739 9.52e-09 ***
## zWordConcreteness -0.45140 0.04650 -9.708 < 2e-16 ***
## zSyntacticSimplicity -0.33475 0.05132 -6.523 6.91e-11 ***
## WordAttack.Halveslow -1.30331 0.19170 -6.799 1.06e-11 ***
## zRefCohesion -0.15924 0.05974 -2.665 0.00769 **
## zDeepCohesion 0.26974 0.03362 8.022 1.04e-15 ***
## zArousal 0.22844 0.04123 5.541 3.00e-08 ***
## WordAttack.Halveslow:zRefCohesion 0.13106 0.05670 2.312 0.02081 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) zNrrtv zWrdCn zSyntS WrdA.H zRfChs zDpChs zArosl
## zNarrativty 0.028
## zWrdCncrtns -0.043 0.336
## zSyntctcSmp -0.032 -0.064 0.528
## WrdAttck.Hl -0.713 -0.010 0.018 0.011
## zRefCohesin -0.006 -0.399 -0.042 0.514 -0.002
## zDeepCohesn 0.035 -0.034 -0.117 -0.244 -0.015 -0.260
## zArousal 0.024 0.176 -0.201 0.246 -0.011 0.318 -0.414
## WrdAtt.H:RC -0.012 -0.001 0.024 0.010 0.014 -0.535 -0.020 -0.007
## convergence code: 0
## Model failed to converge with max|grad| = 0.00109803 (tol = 0.001, component 1)plot(effect("WordAttack.Halves:zRefCohesion", H13), multiline=TRUE)
H14 = glmer(GatesScore ~ zNarrativity + zWordConcreteness + zSyntacticSimplicity + zRefCohesion + WordAttack.Halves*zDeepCohesion + zArousal
+ (1|ID),data = Emotion_Data, family = binomial)
summary(H14)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula:
## GatesScore ~ zNarrativity + zWordConcreteness + zSyntacticSimplicity +
## zRefCohesion + WordAttack.Halves * zDeepCohesion + zArousal + (1 | ID)
## Data: Emotion_Data
##
## AIC BIC logLik deviance df.resid
## 7753.5 7823.2 -3866.8 7733.5 7862
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.5951 -0.5856 0.3231 0.5343 2.7505
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.327 1.152
## Number of obs: 7872, groups: ID, 164
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.86769 0.13736 13.597 < 2e-16 ***
## zNarrativity 0.24830 0.04343 5.717 1.08e-08 ***
## zWordConcreteness -0.45456 0.04664 -9.746 < 2e-16 ***
## zSyntacticSimplicity -0.33600 0.05151 -6.524 6.87e-11 ***
## zRefCohesion -0.08392 0.05068 -1.656 0.0978 .
## WordAttack.Halveslow -1.31265 0.19156 -6.852 7.27e-12 ***
## zDeepCohesion 0.27797 0.04856 5.725 1.04e-08 ***
## zArousal 0.22914 0.04120 5.561 2.68e-08 ***
## WordAttack.Halveslow:zDeepCohesion -0.01034 0.05909 -0.175 0.8611
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) zNrrtv zWrdCn zSyntS zRfChs WrdA.H zDpChs zArosl
## zNarrativty 0.027
## zWrdCncrtns -0.046 0.335
## zSyntctcSmp -0.034 -0.064 0.530
## zRefCohesin -0.010 -0.476 -0.031 0.616
## WrdAttck.Hl -0.714 -0.010 0.020 0.013 0.002
## zDeepCohesn 0.057 -0.036 -0.121 -0.203 -0.216 -0.040
## zArousal 0.024 0.177 -0.198 0.248 0.370 -0.010 -0.288
## WrdAtt.H:DC -0.045 0.016 0.052 0.048 -0.003 0.040 -0.721 0.004