Emotion Paper Models with Word Attack, Feb 26, 2020
Sage Pickren
Attaching Data
Checking Packages
library("lavaan")
library("effects")
library("psych")
library("lme4")
library("lmerTest")
library("sjstats")
library("sjmisc")
library("tidyverse")
library("tinytex")Centering Variables
Corrected_EmotionPaper_Data_Quartiles$ID<- as.factor(Corrected_EmotionPaper_Data_Quartiles$ID)
Corrected_EmotionPaper_Data_Quartiles$zArousal<-scale(Corrected_EmotionPaper_Data_Quartiles$Arousal_Mean_Sum, scale=TRUE, center=TRUE)
Corrected_EmotionPaper_Data_Quartiles$zValence<-scale(Corrected_EmotionPaper_Data_Quartiles$Valence_Mean_Sum, scale=TRUE, center=TRUE)
Corrected_EmotionPaper_Data_Quartiles$zWordConcreteness<-scale(Corrected_EmotionPaper_Data_Quartiles$Word_concreteness_z_score, scale=TRUE, center=TRUE)
Corrected_EmotionPaper_Data_Quartiles$zNarrativity<-scale(Corrected_EmotionPaper_Data_Quartiles$Narrativity, scale=TRUE, center=TRUE)
Corrected_EmotionPaper_Data_Quartiles$zDeepCohesion<-scale(Corrected_EmotionPaper_Data_Quartiles$Deep_cohesion_z_score, scale=TRUE, center=TRUE)
Corrected_EmotionPaper_Data_Quartiles$zRefCohesion<-scale(Corrected_EmotionPaper_Data_Quartiles$Referential_cohesion_z_score, scale=TRUE, center=TRUE)
Corrected_EmotionPaper_Data_Quartiles$zSyntacticSimplicity<-scale(Corrected_EmotionPaper_Data_Quartiles$Syntactic_simplicity_z_score, scale=TRUE, center=TRUE)
Corrected_EmotionPaper_Data_Quartiles$zWordAttack<-scale(Corrected_EmotionPaper_Data_Quartiles$WJ.III.Word.Attack.Standard.Score, scale=TRUE, center=TRUE)Coh-Metrix Base Model from paper
M1 = glmer(GatesScore ~ zNarrativity + zWordConcreteness + zRefCohesion + zDeepCohesion
+ (1|ID),data = Corrected_EmotionPaper_Data_Quartiles, family = binomial)
summary(M1)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: GatesScore ~ zNarrativity + zWordConcreteness + zRefCohesion +
## zDeepCohesion + (1 | ID)
## Data: Corrected_EmotionPaper_Data_Quartiles
##
## AIC BIC logLik deviance df.resid
## 7922.7 7964.6 -3955.4 7910.7 7914
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -5.5222 -0.6115 0.3311 0.5469 2.9677
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.73 1.315
## Number of obs: 7920, groups: ID, 165
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.20382 0.10784 11.163 < 2e-16 ***
## zNarrativity 0.17931 0.04186 4.284 1.84e-05 ***
## zWordConcreteness -0.17980 0.03694 -4.867 1.13e-06 ***
## zRefCohesion 0.03088 0.03859 0.800 0.424
## zDeepCohesion 0.31464 0.02986 10.537 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) zNrrtv zWrdCn zRfChs
## zNarrativty 0.013
## zWrdCncrtns -0.018 0.587
## zRefCohesin 0.005 -0.653 -0.481
## zDeepCohesn 0.035 -0.032 -0.159 -0.094Model with syntactic simplicity
M2 = glmer(GatesScore ~ zNarrativity + zWordConcreteness + zRefCohesion + zDeepCohesion
+ zSyntacticSimplicity
+ (1|ID),data = Corrected_EmotionPaper_Data_Quartiles, family = binomial)
summary(M2)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: GatesScore ~ zNarrativity + zWordConcreteness + zRefCohesion +
## zDeepCohesion + zSyntacticSimplicity + (1 | ID)
## Data: Corrected_EmotionPaper_Data_Quartiles
##
## AIC BIC logLik deviance df.resid
## 7857.2 7906.1 -3921.6 7843.2 7913
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.4803 -0.5913 0.3288 0.5399 2.8033
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.76 1.327
## Number of obs: 7920, groups: ID, 165
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.22179 0.10878 11.231 < 2e-16 ***
## zNarrativity 0.20785 0.04221 4.924 8.47e-07 ***
## zWordConcreteness -0.40410 0.04610 -8.766 < 2e-16 ***
## zRefCohesion -0.19226 0.04683 -4.105 4.04e-05 ***
## zDeepCohesion 0.35083 0.03074 11.413 < 2e-16 ***
## zSyntacticSimplicity -0.40807 0.05000 -8.161 3.33e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) zNrrtv zWrdCn zRfChs zDpChs
## zNarrativty 0.020
## zWrdCncrtns -0.036 0.392
## zRefCohesin -0.019 -0.588 0.050
## zDeepCohesn 0.044 0.029 -0.236 -0.194
## zSyntctcSmp -0.036 -0.101 0.617 0.579 -0.165Models with Word Attack
M3 = glmer(GatesScore ~ zWordAttack + zNarrativity + zWordConcreteness + zRefCohesion + zDeepCohesion
+ zSyntacticSimplicity
+ (1|ID),data = Corrected_EmotionPaper_Data_Quartiles, family = binomial)## Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl =
## control$checkConv, : Model failed to converge with max|grad| = 0.00169195
## (tol = 0.001, component 1)summary(M3)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: GatesScore ~ zWordAttack + zNarrativity + zWordConcreteness +
## zRefCohesion + zDeepCohesion + zSyntacticSimplicity + (1 | ID)
## Data: Corrected_EmotionPaper_Data_Quartiles
##
## AIC BIC logLik deviance df.resid
## 7753.5 7809.3 -3868.7 7737.5 7864
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.1495 -0.5858 0.3232 0.5405 2.7809
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.083 1.04
## Number of obs: 7872, groups: ID, 164
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.20593 0.08801 13.703 < 2e-16 ***
## zWordAttack 0.79417 0.08711 9.116 < 2e-16 ***
## zNarrativity 0.20897 0.04238 4.931 8.17e-07 ***
## zWordConcreteness -0.40752 0.04629 -8.804 < 2e-16 ***
## zRefCohesion -0.19395 0.04703 -4.124 3.72e-05 ***
## zDeepCohesion 0.35033 0.03087 11.349 < 2e-16 ***
## zSyntacticSimplicity -0.41471 0.05023 -8.256 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) zWrdAt zNrrtv zWrdCn zRfChs zDpChs
## zWordAttack 0.043
## zNarrativty 0.025 0.013
## zWrdCncrtns -0.046 -0.019 0.391
## zRefCohesin -0.024 -0.010 -0.589 0.051
## zDeepCohesn 0.054 0.026 0.029 -0.237 -0.194
## zSyntctcSmp -0.046 -0.018 -0.103 0.618 0.580 -0.166
## convergence code: 0
## Model failed to converge with max|grad| = 0.00169195 (tol = 0.001, component 1)M4 = glmer(GatesScore ~ zWordAttack + zNarrativity + zWordConcreteness + zRefCohesion + zDeepCohesion
+ (1|ID),data = Corrected_EmotionPaper_Data_Quartiles, family = binomial)
summary(M4)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: GatesScore ~ zWordAttack + zNarrativity + zWordConcreteness +
## zRefCohesion + zDeepCohesion + (1 | ID)
## Data: Corrected_EmotionPaper_Data_Quartiles
##
## AIC BIC logLik deviance df.resid
## 7820.8 7869.6 -3903.4 7806.8 7865
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -5.2015 -0.6077 0.3249 0.5431 2.9420
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.064 1.031
## Number of obs: 7872, groups: ID, 164
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.18737 0.08720 13.617 < 2e-16 ***
## zWordAttack 0.78875 0.08635 9.135 < 2e-16 ***
## zNarrativity 0.17960 0.04201 4.275 1.91e-05 ***
## zWordConcreteness -0.17940 0.03707 -4.840 1.30e-06 ***
## zRefCohesion 0.03297 0.03874 0.851 0.395
## zDeepCohesion 0.31334 0.02997 10.455 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) zWrdAt zNrrtv zWrdCn zRfChs
## zWordAttack 0.044
## zNarrativty 0.015 0.012
## zWrdCncrtns -0.022 -0.010 0.587
## zRefCohesin 0.006 0.000 -0.653 -0.481
## zDeepCohesn 0.043 0.024 -0.032 -0.160 -0.093Note. Model 3 failed to converge ###Convergence checks
isSingular(M3)## [1] FALSEconverge_ok(M3)## Warning: 'converge_ok' is deprecated.
## Use 'performance::check_convergence()' instead.
## See help("Deprecated")## [1] TRUE
## attr(,"gradient")
## [1] 3.031241e-05I believe these are the results we want from the convergence test. Click below to read more about that https://www.rdocumentation.org/packages/lme4/versions/1.1-21/topics/isSingular
Arousal and Valence while controlling for Word attack
E1 = glmer(GatesScore ~ zWordAttack + zNarrativity + zWordConcreteness + zRefCohesion + zDeepCohesion
+ zSyntacticSimplicity +zArousal
+ (1|ID),data = Corrected_EmotionPaper_Data_Quartiles, family = binomial)
summary(E1)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: GatesScore ~ zWordAttack + zNarrativity + zWordConcreteness +
## zRefCohesion + zDeepCohesion + zSyntacticSimplicity + zArousal +
## (1 | ID)
## Data: Corrected_EmotionPaper_Data_Quartiles
##
## AIC BIC logLik deviance df.resid
## 7724.8 7787.6 -3853.4 7706.8 7863
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.7455 -0.5849 0.3230 0.5358 2.7809
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.093 1.045
## Number of obs: 7872, groups: ID, 164
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.21241 0.08842 13.712 < 2e-16 ***
## zWordAttack 0.79771 0.08750 9.116 < 2e-16 ***
## zNarrativity 0.24883 0.04346 5.725 1.03e-08 ***
## zWordConcreteness -0.45278 0.04661 -9.714 < 2e-16 ***
## zRefCohesion -0.08430 0.05072 -1.662 0.0965 .
## zDeepCohesion 0.27060 0.03368 8.034 9.43e-16 ***
## zSyntacticSimplicity -0.33462 0.05151 -6.497 8.21e-11 ***
## zArousal 0.22928 0.04124 5.559 2.71e-08 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) zWrdAt zNrrtv zWrdCn zRfChs zDpChs zSyntS
## zWordAttack 0.043
## zNarrativty 0.032 0.015
## zWrdCncrtns -0.048 -0.022 0.334
## zRefCohesin -0.013 -0.004 -0.476 -0.030
## zDeepCohesn 0.038 0.017 -0.036 -0.121 -0.315
## zSyntctcSmp -0.037 -0.014 -0.065 0.529 0.617 -0.244
## zArousal 0.027 0.015 0.177 -0.198 0.370 -0.411 0.248E2 = glmer(GatesScore ~ zWordAttack + zNarrativity + zWordConcreteness + zRefCohesion + zDeepCohesion
+zArousal
+ (1|ID),data = Corrected_EmotionPaper_Data_Quartiles, family = binomial)
summary(E2)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: GatesScore ~ zWordAttack + zNarrativity + zWordConcreteness +
## zRefCohesion + zDeepCohesion + zArousal + (1 | ID)
## Data: Corrected_EmotionPaper_Data_Quartiles
##
## AIC BIC logLik deviance df.resid
## 7765.6 7821.4 -3874.8 7749.6 7864
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.1039 -0.5884 0.3249 0.5408 2.7899
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.082 1.04
## Number of obs: 7872, groups: ID, 164
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.20004 0.08793 13.648 < 2e-16 ***
## zWordAttack 0.79468 0.08704 9.130 < 2e-16 ***
## zNarrativity 0.23308 0.04314 5.402 6.58e-08 ***
## zWordConcreteness -0.29713 0.03991 -7.446 9.63e-14 ***
## zRefCohesion 0.11996 0.04021 2.983 0.00286 **
## zDeepCohesion 0.22164 0.03218 6.887 5.69e-12 ***
## zArousal 0.29336 0.03901 7.520 5.47e-14 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) zWrdAt zNrrtv zWrdCn zRfChs zDpChs
## zWordAttack 0.044
## zNarrativty 0.025 0.014
## zWrdCncrtns -0.033 -0.017 0.451
## zRefCohesin 0.015 0.006 -0.564 -0.534
## zDeepCohesn 0.028 0.015 -0.074 0.015 -0.194
## zArousal 0.035 0.019 0.181 -0.395 0.282 -0.366E3 = glmer(GatesScore ~ zWordAttack + zNarrativity + zWordConcreteness + zRefCohesion + zDeepCohesion
+ zSyntacticSimplicity +zValence
+ (1|ID),data = Corrected_EmotionPaper_Data_Quartiles, family = binomial)
summary(E3)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: GatesScore ~ zWordAttack + zNarrativity + zWordConcreteness +
## zRefCohesion + zDeepCohesion + zSyntacticSimplicity + zValence +
## (1 | ID)
## Data: Corrected_EmotionPaper_Data_Quartiles
##
## AIC BIC logLik deviance df.resid
## 7746.5 7809.3 -3864.3 7728.5 7863
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.2205 -0.5892 0.3220 0.5424 3.0376
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.087 1.043
## Number of obs: 7872, groups: ID, 164
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.20647 0.08817 13.684 < 2e-16 ***
## zWordAttack 0.79569 0.08727 9.117 < 2e-16 ***
## zNarrativity 0.16572 0.04462 3.714 0.000204 ***
## zWordConcreteness -0.46817 0.05057 -9.257 < 2e-16 ***
## zRefCohesion -0.19679 0.04692 -4.194 2.74e-05 ***
## zDeepCohesion 0.41974 0.03855 10.888 < 2e-16 ***
## zSyntacticSimplicity -0.55168 0.06799 -8.114 4.91e-16 ***
## zValence -0.15872 0.05274 -3.010 0.002616 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) zWrdAt zNrrtv zWrdCn zRfChs zDpChs zSyntS
## zWordAttack 0.043
## zNarrativty 0.020 0.009
## zWrdCncrtns -0.044 -0.022 0.474
## zRefCohesin -0.024 -0.011 -0.549 0.051
## zDeepCohesn 0.047 0.026 -0.173 -0.410 -0.168
## zSyntctcSmp -0.038 -0.020 0.151 0.689 0.439 -0.496
## zValence -0.007 -0.010 0.323 0.403 0.022 -0.596 0.675E4 = glmer(GatesScore ~ zWordAttack + zNarrativity + zWordConcreteness + zRefCohesion + zDeepCohesion
+zValence
+ (1|ID),data = Corrected_EmotionPaper_Data_Quartiles, family = binomial)
summary(E4)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: GatesScore ~ zWordAttack + zNarrativity + zWordConcreteness +
## zRefCohesion + zDeepCohesion + zValence + (1 | ID)
## Data: Corrected_EmotionPaper_Data_Quartiles
##
## AIC BIC logLik deviance df.resid
## 7811.1 7866.9 -3897.5 7795.1 7864
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -5.3960 -0.5951 0.3282 0.5396 2.7402
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.066 1.033
## Number of obs: 7872, groups: ID, 164
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.19099 0.08731 13.640 < 2e-16 ***
## zWordAttack 0.78908 0.08646 9.126 < 2e-16 ***
## zNarrativity 0.22103 0.04389 5.036 4.75e-07 ***
## zWordConcreteness -0.19008 0.03700 -5.137 2.79e-07 ***
## zRefCohesion -0.02584 0.04224 -0.612 0.540602
## zDeepCohesion 0.26343 0.03330 7.910 2.57e-15 ***
## zValence 0.13200 0.03854 3.424 0.000616 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) zWrdAt zNrrtv zWrdCn zRfChs zDpChs
## zWordAttack 0.043
## zNarrativty 0.022 0.013
## zWrdCncrtns -0.024 -0.011 0.533
## zRefCohesin -0.003 -0.002 -0.686 -0.400
## zDeepCohesn 0.031 0.019 -0.137 -0.109 0.096
## zValence 0.020 0.006 0.280 -0.089 -0.407 -0.434E5 = glmer(GatesScore ~ zWordAttack + zNarrativity + zWordConcreteness + zRefCohesion + zDeepCohesion
+zArousal + zValence
+ (1|ID),data = Corrected_EmotionPaper_Data_Quartiles, family = binomial)
summary(E5)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: GatesScore ~ zWordAttack + zNarrativity + zWordConcreteness +
## zRefCohesion + zDeepCohesion + zArousal + zValence + (1 | ID)
## Data: Corrected_EmotionPaper_Data_Quartiles
##
## AIC BIC logLik deviance df.resid
## 7764.3 7827.1 -3873.2 7746.3 7863
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.0286 -0.5866 0.3249 0.5432 2.7959
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.083 1.041
## Number of obs: 7872, groups: ID, 164
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.20026 0.08798 13.642 < 2e-16 ***
## zWordAttack 0.79561 0.08709 9.136 < 2e-16 ***
## zNarrativity 0.21435 0.04431 4.837 1.32e-06 ***
## zWordConcreteness -0.31339 0.04097 -7.649 2.02e-14 ***
## zRefCohesion 0.17718 0.05096 3.477 0.000507 ***
## zDeepCohesion 0.24002 0.03364 7.135 9.70e-13 ***
## zArousal 0.34984 0.04959 7.054 1.74e-12 ***
## zValence -0.09113 0.04976 -1.832 0.067019 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) zWrdAt zNrrtv zWrdCn zRfChs zDpChs zArosl
## zWordAttack 0.044
## zNarrativty 0.023 0.012
## zWrdCncrtns -0.034 -0.018 0.480
## zRefCohesin 0.015 0.009 -0.576 -0.547
## zDeepCohesn 0.027 0.017 -0.143 -0.053 0.043
## zArousal 0.031 0.020 -0.005 -0.438 0.554 -0.080
## zValence -0.005 -0.008 0.230 0.221 -0.613 -0.304 -0.622Interactions with word attack and narrativity
M5 = glmer(GatesScore ~ zNarrativity*zWordAttack + zWordConcreteness + zRefCohesion + zDeepCohesion
+ zSyntacticSimplicity
+ (1|ID),data = Corrected_EmotionPaper_Data_Quartiles, family = binomial)
summary(M5)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: GatesScore ~ zNarrativity * zWordAttack + zWordConcreteness +
## zRefCohesion + zDeepCohesion + zSyntacticSimplicity + (1 | ID)
## Data: Corrected_EmotionPaper_Data_Quartiles
##
## AIC BIC logLik deviance df.resid
## 7752.4 7815.2 -3867.2 7734.4 7863
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.4138 -0.5897 0.3234 0.5433 2.9071
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.082 1.04
## Number of obs: 7872, groups: ID, 164
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.21161 0.08808 13.756 < 2e-16 ***
## zNarrativity 0.22145 0.04295 5.156 2.52e-07 ***
## zWordAttack 0.80016 0.08719 9.178 < 2e-16 ***
## zWordConcreteness -0.41277 0.04651 -8.874 < 2e-16 ***
## zRefCohesion -0.19940 0.04725 -4.220 2.44e-05 ***
## zDeepCohesion 0.35221 0.03090 11.397 < 2e-16 ***
## zSyntacticSimplicity -0.42200 0.05066 -8.330 < 2e-16 ***
## zNarrativity:zWordAttack 0.05266 0.02991 1.761 0.0783 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) zNrrtv zWrdAt zWrdCn zRfChs zDpChs zSyntS
## zNarrativty 0.035
## zWordAttack 0.046 0.024
## zWrdCncrtns -0.049 0.369 -0.023
## zRefCohesin -0.027 -0.591 -0.014 0.059
## zDeepCohesn 0.056 0.038 0.028 -0.242 -0.201
## zSyntctcSmp -0.050 -0.117 -0.023 0.620 0.586 -0.177
## zNrrtvty:WA 0.040 0.164 0.046 -0.069 -0.068 0.039 -0.085M5a = glmer(GatesScore ~ zWordAttack*zNarrativity + zWordConcreteness + zRefCohesion + zDeepCohesion
+ zSyntacticSimplicity
+ (1|ID),data = Corrected_EmotionPaper_Data_Quartiles, family = binomial)
M6 = glmer(GatesScore ~ zNarrativity*zWordAttack + zWordConcreteness + zRefCohesion + zDeepCohesion
+ (1|ID),data = Corrected_EmotionPaper_Data_Quartiles, family = binomial)
summary(M6)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: GatesScore ~ zNarrativity * zWordAttack + zWordConcreteness +
## zRefCohesion + zDeepCohesion + (1 | ID)
## Data: Corrected_EmotionPaper_Data_Quartiles
##
## AIC BIC logLik deviance df.resid
## 7821.2 7877.0 -3902.6 7805.2 7864
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -5.3167 -0.6124 0.3236 0.5437 2.8731
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.063 1.031
## Number of obs: 7872, groups: ID, 164
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.19096 0.08725 13.651 < 2e-16 ***
## zNarrativity 0.18761 0.04247 4.418 9.98e-06 ***
## zWordAttack 0.79243 0.08639 9.172 < 2e-16 ***
## zWordConcreteness -0.18065 0.03714 -4.864 1.15e-06 ***
## zRefCohesion 0.03256 0.03871 0.841 0.40
## zDeepCohesion 0.31282 0.02995 10.445 < 2e-16 ***
## zNarrativity:zWordAttack 0.03704 0.02958 1.252 0.21
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) zNrrtv zWrdAt zWrdCn zRfChs zDpChs
## zNarrativty 0.023
## zWordAttack 0.045 0.020
## zWrdCncrtns -0.024 0.573 -0.011
## zRefCohesin 0.006 -0.648 -0.001 -0.481
## zDeepCohesn 0.042 -0.033 0.023 -0.158 -0.093
## zNrrtvty:WA 0.035 0.148 0.038 -0.030 -0.009 -0.012plot(effect("zNarrativity:zWordAttack", M5), multiline=TRUE)
plot(effect("zWordAttack:zNarrativity", M5a), multiline=TRUE)
Interactions with word attack and Word concreteness
M7 = glmer(GatesScore ~ zNarrativity+ zWordAttack*zWordConcreteness + zRefCohesion + zDeepCohesion
+ zSyntacticSimplicity
+ (1|ID),data = Corrected_EmotionPaper_Data_Quartiles, family = binomial)
summary(M7)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: GatesScore ~ zNarrativity + zWordAttack * zWordConcreteness +
## zRefCohesion + zDeepCohesion + zSyntacticSimplicity + (1 | ID)
## Data: Corrected_EmotionPaper_Data_Quartiles
##
## AIC BIC logLik deviance df.resid
## 7754.1 7816.8 -3868.0 7736.1 7863
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.1920 -0.5860 0.3231 0.5415 2.9172
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.082 1.04
## Number of obs: 7872, groups: ID, 164
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.20842 0.08804 13.726 < 2e-16 ***
## zNarrativity 0.21075 0.04239 4.972 6.64e-07 ***
## zWordAttack 0.79688 0.08715 9.144 < 2e-16 ***
## zWordConcreteness -0.41510 0.04662 -8.904 < 2e-16 ***
## zRefCohesion -0.19551 0.04705 -4.156 3.24e-05 ***
## zDeepCohesion 0.35110 0.03091 11.359 < 2e-16 ***
## zSyntacticSimplicity -0.41720 0.05041 -8.277 < 2e-16 ***
## zWordAttack:zWordConcreteness -0.03493 0.02925 -1.194 0.232
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) zNrrtv zWrdAt zWrdCn zRfChs zDpChs zSyntS
## zNarrativty 0.026
## zWordAttack 0.044 0.014
## zWrdCncrtns -0.051 0.380 -0.025
## zRefCohesin -0.025 -0.588 -0.011 0.054
## zDeepCohesn 0.055 0.031 0.026 -0.238 -0.197
## zSyntctcSmp -0.047 -0.105 -0.020 0.615 0.582 -0.171
## zWrdAttc:WC -0.025 -0.037 -0.030 0.133 0.026 -0.022 0.040M8 = glmer(GatesScore ~ zNarrativity + zWordAttack*zWordConcreteness + zRefCohesion + zDeepCohesion
+ (1|ID),data = Corrected_EmotionPaper_Data_Quartiles, family = binomial)
summary(M8)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: GatesScore ~ zNarrativity + zWordAttack * zWordConcreteness +
## zRefCohesion + zDeepCohesion + (1 | ID)
## Data: Corrected_EmotionPaper_Data_Quartiles
##
## AIC BIC logLik deviance df.resid
## 7821.8 7877.5 -3902.9 7805.8 7864
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -5.3311 -0.6146 0.3242 0.5438 2.9254
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.063 1.031
## Number of obs: 7872, groups: ID, 164
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.18939 0.08722 13.636 < 2e-16 ***
## zNarrativity 0.18064 0.04200 4.301 1.70e-05 ***
## zWordAttack 0.79085 0.08637 9.156 < 2e-16 ***
## zWordConcreteness -0.18625 0.03767 -4.945 7.63e-07 ***
## zRefCohesion 0.03289 0.03868 0.850 0.395
## zDeepCohesion 0.31302 0.02998 10.439 < 2e-16 ***
## zWordAttack:zWordConcreteness -0.02983 0.02967 -1.005 0.315
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) zNrrtv zWrdAt zWrdCn zRfChs zDpChs
## zNarrativty 0.016
## zWordAttack 0.045 0.013
## zWrdCncrtns -0.029 0.570 -0.017
## zRefCohesin 0.006 -0.652 0.000 -0.474
## zDeepCohesn 0.042 -0.032 0.024 -0.154 -0.094
## zWrdAttc:WC -0.025 -0.026 -0.028 0.178 0.001 0.011Interaction with Word attack and cohesions
M9 = glmer(GatesScore ~ zNarrativity + zWordConcreteness + zRefCohesion*zWordAttack + zDeepCohesion
+ zSyntacticSimplicity
+ (1|ID),data = Corrected_EmotionPaper_Data_Quartiles, family = binomial)
summary(M9)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: GatesScore ~ zNarrativity + zWordConcreteness + zRefCohesion *
## zWordAttack + zDeepCohesion + zSyntacticSimplicity + (1 | ID)
## Data: Corrected_EmotionPaper_Data_Quartiles
##
## AIC BIC logLik deviance df.resid
## 7754.2 7816.9 -3868.1 7736.2 7863
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.1325 -0.5802 0.3225 0.5391 2.8020
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.083 1.041
## Number of obs: 7872, groups: ID, 164
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.20438 0.08804 13.680 < 2e-16 ***
## zNarrativity 0.20991 0.04236 4.955 7.22e-07 ***
## zWordConcreteness -0.40561 0.04623 -8.773 < 2e-16 ***
## zRefCohesion -0.19975 0.04710 -4.241 2.23e-05 ***
## zWordAttack 0.79289 0.08715 9.098 < 2e-16 ***
## zDeepCohesion 0.34894 0.03083 11.317 < 2e-16 ***
## zSyntacticSimplicity -0.41378 0.05016 -8.249 < 2e-16 ***
## zRefCohesion:zWordAttack -0.03311 0.02879 -1.150 0.25
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) zNrrtv zWrdCn zRfChs zWrdAt zDpChs zSyntS
## zNarrativty 0.025
## zWrdCncrtns -0.046 0.392
## zRefCohesin -0.025 -0.586 0.046
## zWordAttack 0.043 0.013 -0.019 -0.011
## zDeepCohesn 0.055 0.030 -0.237 -0.192 0.026
## zSyntctcSmp -0.046 -0.101 0.617 0.574 -0.018 -0.167
## zRfChsn:zWA 0.013 -0.017 -0.035 0.100 0.008 0.036 -0.017M10 = glmer(GatesScore ~ zNarrativity + zWordConcreteness + zRefCohesion*zWordAttack + zDeepCohesion
+ (1|ID),data = Corrected_EmotionPaper_Data_Quartiles, family = binomial)
summary(M10)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: GatesScore ~ zNarrativity + zWordConcreteness + zRefCohesion *
## zWordAttack + zDeepCohesion + (1 | ID)
## Data: Corrected_EmotionPaper_Data_Quartiles
##
## AIC BIC logLik deviance df.resid
## 7821.3 7877.1 -3902.7 7805.3 7864
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -5.1876 -0.6028 0.3237 0.5470 2.9704
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.064 1.032
## Number of obs: 7872, groups: ID, 164
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.18578 0.08723 13.594 < 2e-16 ***
## zNarrativity 0.18095 0.04200 4.308 1.64e-05 ***
## zWordConcreteness -0.17821 0.03704 -4.812 1.50e-06 ***
## zRefCohesion 0.02533 0.03911 0.648 0.517
## zWordAttack 0.78741 0.08638 9.116 < 2e-16 ***
## zDeepCohesion 0.31193 0.02993 10.421 < 2e-16 ***
## zRefCohesion:zWordAttack -0.03488 0.02902 -1.202 0.229
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) zNrrtv zWrdCn zRfChs zWrdAt zDpChs
## zNarrativty 0.015
## zWrdCncrtns -0.023 0.587
## zRefCohesin 0.006 -0.647 -0.480
## zWordAttack 0.043 0.012 -0.010 -0.001
## zDeepCohesn 0.043 -0.032 -0.160 -0.091 0.024
## zRfChsn:zWA 0.012 -0.024 -0.025 0.153 0.008 0.035M11 = glmer(GatesScore ~ zNarrativity + zWordConcreteness + zRefCohesion + zDeepCohesion*zWordAttack
+ zSyntacticSimplicity
+ (1|ID),data = Corrected_EmotionPaper_Data_Quartiles, family = binomial)
summary(M11)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: GatesScore ~ zNarrativity + zWordConcreteness + zRefCohesion +
## zDeepCohesion * zWordAttack + zSyntacticSimplicity + (1 | ID)
## Data: Corrected_EmotionPaper_Data_Quartiles
##
## AIC BIC logLik deviance df.resid
## 7753.3 7816.0 -3867.6 7735.3 7863
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.220 -0.585 0.322 0.542 2.724
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.082 1.04
## Number of obs: 7872, groups: ID, 164
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.21075 0.08807 13.748 < 2e-16 ***
## zNarrativity 0.20735 0.04251 4.878 1.07e-06 ***
## zWordConcreteness -0.41260 0.04651 -8.872 < 2e-16 ***
## zRefCohesion -0.19368 0.04722 -4.101 4.11e-05 ***
## zDeepCohesion 0.36065 0.03163 11.401 < 2e-16 ***
## zWordAttack 0.79928 0.08718 9.168 < 2e-16 ***
## zSyntacticSimplicity -0.41940 0.05032 -8.334 < 2e-16 ***
## zDeepCohesion:zWordAttack 0.04489 0.02982 1.505 0.132
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) zNrrtv zWrdCn zRfChs zDpChs zWrdAt zSyntS
## zNarrativty 0.023
## zWrdCncrtns -0.049 0.390
## zRefCohesin -0.024 -0.592 0.051
## zDeepCohesn 0.066 0.016 -0.255 -0.181
## zWordAttack 0.046 0.011 -0.023 -0.010 0.038
## zSyntctcSmp -0.049 -0.106 0.620 0.579 -0.179 -0.022
## zDpChsn:zWA 0.039 -0.028 -0.077 0.007 0.216 0.045 -0.064M12 = glmer(GatesScore ~ zNarrativity + zWordConcreteness + zRefCohesion + zDeepCohesion*zWordAttack
+ (1|ID),data = Corrected_EmotionPaper_Data_Quartiles, family = binomial)
summary(M12)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: GatesScore ~ zNarrativity + zWordConcreteness + zRefCohesion +
## zDeepCohesion * zWordAttack + (1 | ID)
## Data: Corrected_EmotionPaper_Data_Quartiles
##
## AIC BIC logLik deviance df.resid
## 7821.9 7877.6 -3902.9 7805.9 7864
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -5.3030 -0.6115 0.3238 0.5472 2.8883
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.063 1.031
## Number of obs: 7872, groups: ID, 164
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.19009 0.08724 13.641 < 2e-16 ***
## zNarrativity 0.17712 0.04215 4.202 2.65e-05 ***
## zWordConcreteness -0.18048 0.03711 -4.863 1.15e-06 ***
## zRefCohesion 0.03563 0.03892 0.915 0.360
## zDeepCohesion 0.31902 0.03053 10.449 < 2e-16 ***
## zWordAttack 0.79153 0.08639 9.162 < 2e-16 ***
## zDeepCohesion:zWordAttack 0.02832 0.02960 0.957 0.339
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) zNrrtv zWrdCn zRfChs zDpChs zWrdAt
## zNarrativty 0.013
## zWrdCncrtns -0.024 0.589
## zRefCohesin 0.009 -0.656 -0.483
## zDeepCohesn 0.051 -0.049 -0.167 -0.071
## zWordAttack 0.045 0.009 -0.011 0.003 0.033
## zDpChsn:zWA 0.034 -0.063 -0.034 0.075 0.191 0.037Interaction with Word attack and syntactic simplicity
M13 = glmer(GatesScore ~ zNarrativity + zWordConcreteness + zRefCohesion + zDeepCohesion + zSyntacticSimplicity*zWordAttack
+ (1|ID),data = Corrected_EmotionPaper_Data_Quartiles, family = binomial)
summary(M13)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: GatesScore ~ zNarrativity + zWordConcreteness + zRefCohesion +
## zDeepCohesion + zSyntacticSimplicity * zWordAttack + (1 | ID)
## Data: Corrected_EmotionPaper_Data_Quartiles
##
## AIC BIC logLik deviance df.resid
## 7753.7 7816.5 -3867.9 7735.7 7863
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.1121 -0.5843 0.3228 0.5423 2.9361
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.083 1.041
## Number of obs: 7872, groups: ID, 164
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.20482 0.08803 13.686 < 2e-16 ***
## zNarrativity 0.20826 0.04235 4.918 8.74e-07 ***
## zWordConcreteness -0.40548 0.04620 -8.776 < 2e-16 ***
## zRefCohesion -0.19218 0.04700 -4.089 4.33e-05 ***
## zDeepCohesion 0.34816 0.03086 11.284 < 2e-16 ***
## zSyntacticSimplicity -0.40582 0.05066 -8.011 1.14e-15 ***
## zWordAttack 0.79329 0.08715 9.103 < 2e-16 ***
## zSyntacticSimplicity:zWordAttack 0.03855 0.02904 1.328 0.184
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) zNrrtv zWrdCn zRfChs zDpChs zSyntS zWrdAt
## zNarrativty 0.025
## zWrdCncrtns -0.046 0.391
## zRefCohesin -0.024 -0.586 0.049
## zDeepCohesn 0.054 0.028 -0.238 -0.197
## zSyntctcSmp -0.044 -0.103 0.613 0.579 -0.175
## zWordAttack 0.043 0.013 -0.019 -0.010 0.025 -0.016
## zSyntctS:WA -0.007 -0.012 0.031 0.030 -0.052 0.129 -0.003Interaction with Word attack and emotion
M14 = glmer(GatesScore ~ zNarrativity + zWordConcreteness + zRefCohesion + zDeepCohesion + zSyntacticSimplicity + zWordAttack*zArousal
+ (1|ID),data = Corrected_EmotionPaper_Data_Quartiles, family = binomial)
summary(M14)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: GatesScore ~ zNarrativity + zWordConcreteness + zRefCohesion +
## zDeepCohesion + zSyntacticSimplicity + zWordAttack * zArousal +
## (1 | ID)
## Data: Corrected_EmotionPaper_Data_Quartiles
##
## AIC BIC logLik deviance df.resid
## 7719.7 7789.4 -3849.8 7699.7 7862
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -7.1396 -0.5753 0.3214 0.5365 2.7076
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.093 1.046
## Number of obs: 7872, groups: ID, 164
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.21613 0.08848 13.745 < 2e-16 ***
## zNarrativity 0.25220 0.04359 5.786 7.22e-09 ***
## zWordConcreteness -0.45340 0.04662 -9.725 < 2e-16 ***
## zRefCohesion -0.08327 0.05066 -1.644 0.10021
## zDeepCohesion 0.26875 0.03372 7.971 1.57e-15 ***
## zSyntacticSimplicity -0.33512 0.05117 -6.549 5.80e-11 ***
## zWordAttack 0.80255 0.08758 9.163 < 2e-16 ***
## zArousal 0.24757 0.04192 5.906 3.50e-09 ***
## zWordAttack:zArousal 0.07871 0.02908 2.707 0.00679 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) zNrrtv zWrdCn zRfChs zDpChs zSyntS zWrdAt zArosl
## zNarrativty 0.032
## zWrdCncrtns -0.049 0.333
## zRefCohesin -0.013 -0.479 -0.031
## zDeepCohesn 0.038 -0.035 -0.118 -0.312
## zSyntctcSmp -0.038 -0.070 0.532 0.614 -0.240
## zWordAttack 0.044 0.016 -0.022 -0.004 0.016 -0.014
## zArousal 0.035 0.177 -0.203 0.364 -0.414 0.237 0.025
## zWrdAttck:A 0.021 0.031 -0.012 0.008 -0.020 -0.006 0.030 0.160M15 = glmer(GatesScore ~ zNarrativity + zWordConcreteness + zRefCohesion + zDeepCohesion + zSyntacticSimplicity + zWordAttack*zValence
+ (1|ID),data = Corrected_EmotionPaper_Data_Quartiles, family = binomial)## Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl =
## control$checkConv, : Model failed to converge with max|grad| = 0.00393562
## (tol = 0.001, component 1)summary(M15)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: GatesScore ~ zNarrativity + zWordConcreteness + zRefCohesion +
## zDeepCohesion + zSyntacticSimplicity + zWordAttack * zValence +
## (1 | ID)
## Data: Corrected_EmotionPaper_Data_Quartiles
##
## AIC BIC logLik deviance df.resid
## 7746.9 7816.6 -3863.4 7726.9 7862
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.2902 -0.5937 0.3231 0.5398 3.1096
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 1.087 1.042
## Number of obs: 7872, groups: ID, 164
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.20949 0.08820 13.713 < 2e-16 ***
## zNarrativity 0.16710 0.04472 3.737 0.000186 ***
## zWordConcreteness -0.47242 0.05075 -9.309 < 2e-16 ***
## zRefCohesion -0.19847 0.04706 -4.217 2.47e-05 ***
## zDeepCohesion 0.42400 0.03882 10.921 < 2e-16 ***
## zSyntacticSimplicity -0.55647 0.06806 -8.176 2.94e-16 ***
## zWordAttack 0.79903 0.08731 9.152 < 2e-16 ***
## zValence -0.15327 0.05298 -2.893 0.003815 **
## zWordAttack:zValence 0.03864 0.02973 1.300 0.193701
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) zNrrtv zWrdCn zRfChs zDpChs zSyntS zWrdAt zValnc
## zNarrativty 0.021
## zWrdCncrtns -0.046 0.468
## zRefCohesin -0.024 -0.552 0.055
## zDeepCohesn 0.050 -0.170 -0.416 -0.166
## zSyntctcSmp -0.040 0.145 0.691 0.441 -0.499
## zWordAttack 0.045 0.010 -0.024 -0.012 0.030 -0.022
## zValence -0.003 0.322 0.395 0.020 -0.587 0.667 -0.006
## zWrdAttck:V 0.027 0.025 -0.065 -0.026 0.085 -0.053 0.034 0.077
## convergence code: 0
## Model failed to converge with max|grad| = 0.00393562 (tol = 0.001, component 1)plot(effect("zWordAttack:zArousal", M14), multiline=TRUE)