2016
DOI: 10.1016/j.jml.2016.03.009
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A meta-analysis of syntactic priming in language production

Abstract: We performed an exhaustive meta-analysis of 73 peer-reviewed journal articles from the seminal Bock (1986) paper through 2013. Extracting the effect size for each experiment and condition, where the effect size is the log odds ratio of the frequency of the primed structure X to the frequency of the unprimed structure Y, we found a robust effect of syntactic priming with an average weighted odds ratio of 1.67 when there is no lexical overlap and 3.26 when there is. That is, a construction X which occurs 50% of … Show more

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Cited by 227 publications
(279 citation statements)
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References 61 publications
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“…These findings replicate previous language production priming studies with young adults (see Mahowald et al, 2016). Critically though, our study is the first to demonstrate that neither syntactic priming nor lexical boost differ significantly between young and older adults.…”
Section: Discussionsupporting
confidence: 91%
“…These findings replicate previous language production priming studies with young adults (see Mahowald et al, 2016). Critically though, our study is the first to demonstrate that neither syntactic priming nor lexical boost differ significantly between young and older adults.…”
Section: Discussionsupporting
confidence: 91%
“…3 object relatives are easier to process, especially if a lot of evidence has accumulated in other experiments that supports such a conclusion (see Vasishth, Chen, Li, and Guo, 2013 for a more detailed discussion). Meta-analysis of existing studies can help in obtaining a better estimate of the posterior distribution of a parameter; for psycholinguistic examples, see , Jäger, Engelmann, andVasishth (2016), Mahowald, James, Futrell, andGibson (2016), Vasishth et al (2013). What about the correlations between varying intercepts and varying slopes for subject and for item?…”
Section: Inferencementioning
confidence: 99%
“…While they found no difference between idiom priming and priming within compositional datives, their primary goal was not to compare the magnitude of priming, but rather to determine whether idioms would prime compositional datives at all. Consequentially, their study was underpowered to detect differences between idioms and compositional datives (59% power with N = 21 in a within‐subjects design at a medium effect size, Cohen's d = .5; see also Mahowald et al., ). Experiment 1 builds off this finding with 192 participants (99.8% power, between‐subjects).…”
Section: Introductionmentioning
confidence: 99%