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Table 5.

Summary of LMER showing correlation coefficients of RT, lexical statistics, and word types to RT

All words:
Formula: RTlog ∼ Condition + Freqlog + Length + (1 | Subject) + (1 | Item) + (WordFreq|Subject)
Fixed effects:Estimatedft valuePr(>|t|)
(Intercept) −8.66 175 2,66.918 <2e−16*** 
Condition = circumfix 250 0.054 0.957 
Condition = pseudo-infix −0.02 224 −0.996 0.32 
Condition = infix 0.06 238 3.614 0.000368*** 
Condition = pseudoredup [+i] 0.05 254 1.800 0.0731 
Condition = pseudoredup [−i] 0.01 241 0.279 0.7807 
Condition = reduplicate 0.05 247 2.163 0.0315* 
Length 0.03 259 6.805 6.99e−11*** 
Word Frequency −0.02 88 −4.331 3.94e−05*** 
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 
Random effects:VarianceCorrelation  
Subject 3.829e−03       
Word Frequency|Subject 9.685e−05 0.54     
Item 4.758e−03       
Residual 2.366e−02       
All words:
Formula: RTlog ∼ Condition + Freqlog + Length + (1 | Subject) + (1 | Item) + (WordFreq|Subject)
Fixed effects:Estimatedft valuePr(>|t|)
(Intercept) −8.66 175 2,66.918 <2e−16*** 
Condition = circumfix 250 0.054 0.957 
Condition = pseudo-infix −0.02 224 −0.996 0.32 
Condition = infix 0.06 238 3.614 0.000368*** 
Condition = pseudoredup [+i] 0.05 254 1.800 0.0731 
Condition = pseudoredup [−i] 0.01 241 0.279 0.7807 
Condition = reduplicate 0.05 247 2.163 0.0315* 
Length 0.03 259 6.805 6.99e−11*** 
Word Frequency −0.02 88 −4.331 3.94e−05*** 
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 
Random effects:VarianceCorrelation  
Subject 3.829e−03       
Word Frequency|Subject 9.685e−05 0.54     
Item 4.758e−03       
Residual 2.366e−02       

Note. Treatment coding is specified, allowing for a comparison of conditions to the morphologically simple condition. Estimates have been rounded to 2 decimal places. Calculation of p values from t tests and dfs was performed using Satterthwaite’s method in the lmerTest package (Kuznetsova et al., 2017).

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