Visual lexical decision latencies for beginning readers (8 year-old Dutch children).
A data frame with 7923 observations on the following 13 variables.
a factor for the words.
a factor for the subjects.
a numeric vector with the log-transformed reaction time (in ms).
a numeric vector coding the rank of the trial in the experimental list.
a numeric vector coding the word's length in letters.
a numeric vector with log-transformed frequency in Vermeer's frequency dictionary of Dutch children's texts.
a numeric vector with the log-transformed morphological family size count (with family members judged to be unknown to young children removed).
a numeric vector with a score for reading proficiency.
a numeric vector for the proportion of error responses for the word.
a numeric vector for the first principal component of a PCA orthogonalization of the preceding 4 reaction times
a numeric vector for the second principal component of a PCA orthogonalization of the preceding 4 reaction times
a numeric vector for the third principal component of a PCA orthogonalization of the preceding 4 reaction times
a numeric vector for the fourth principal component of a PCA orthogonalization of the preceding 4 reaction times
Perdijk, K., Schreuder, R., Verhoeven, L. and Baayen, R. H. (2006) Tracing individual differences in reading skills of young children with linear mixed-effects models. Manuscript, Radboud University Nijmegen.
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## Not run: data(beginningReaders) require(lme4) require(optimx) require(lmerTest) beginningReaders.lmer = lmer(LogRT ~ PC1 + PC2 + PC3 + ReadingScore + OrthLength + I(OrthLength^2) + LogFrequency + LogFamilySize + (1|Word) + (1|Subject) + (0+LogFrequency|Subject) + (0+OrthLength|Subject) + (0+PC1|Subject), data = beginningReaders, control=lmerControl(optimizer="optimx",optCtrl=list(method="nlminb"))) summary(beginningReaders.lmer) ## End(Not run)
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