A meta-analysis of syntactic priming in language production
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TLDR
The authors performed an exhaustive meta-analysis of 73 peer-reviewed journal articles on syntactic priming from the seminal Bock (1986) paper through 2013 and found a robust effect with an average weighted odds ratio of 1.67 when there was no lexical overlap and 3.26 when there is.About:
This article is published in Journal of Memory and Language.The article was published on 2016-12-01 and is currently open access. It has received 166 citations till now. The article focuses on the topics: Structural priming & Priming (psychology).read more
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Power Analysis and Effect Size in Mixed Effects Models: A Tutorial
Marc Brysbaert,Michaël Stevens +1 more
TL;DR: It is recommended that a properly powered reaction time experiment with repeated measures has at least 1,600 word observations per condition, considerably more than current practice, and it is shown that researchers must include the number of observations in meta-analyses.
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An experimental approach to linguistic representation
TL;DR: It is proposed that structural priming provides a new basis for understanding the nature of language and provides evidence about the consistency of representations across languages and about language development.
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Bayesian linear mixed models using Stan: A tutorial for psychologists, linguists, and cognitive scientists
Tanner Sorensen,Shravan Vasishth +1 more
TL;DR: This tutorial provides a practical introduction to fitting LMMs in a Bayesian framework using the probabilistic programming language Stan, which provides an elegant and scalable framework for fitting models in most of the standard applications of LMMs.
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No evidential value in samples of transcranial direct current stimulation (tDCS) studies of cognition and working memory in healthy populations.
Jared Medina,Samuel Cason +1 more
TL;DR: Examining a random selection of studies that used tDCS to alter performance on cognitive tasks, and tDCS studies on working memory in a recently published meta-analysis, it is found no evidence that the tDCS Studies had evidential value, with the estimate of statistical power of these studies being approximately 14% for the cognitive studies, and 5% of what would be expected from randomly generated data for the working memory studies.
Estimating the Difference between Published and Unpublished Effect Sizes: A Meta-Review.
TL;DR: In this paper, the authors investigated the publication bias of meta-analyses and found that published studies yielded larger effect sizes than those from unpublished studies (d¯ = 0.18, 95% confidence interval [0.10, 0.25]).
References
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R: A language and environment for statistical computing.
TL;DR: Copyright (©) 1999–2012 R Foundation for Statistical Computing; permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and permission notice are preserved on all copies.
Book
Statistical Power Analysis for the Behavioral Sciences
TL;DR: The concepts of power analysis are discussed in this paper, where Chi-square Tests for Goodness of Fit and Contingency Tables, t-Test for Means, and Sign Test are used.
Journal ArticleDOI
A power primer.
TL;DR: A convenient, although not comprehensive, presentation of required sample sizes is providedHere the sample sizes necessary for .80 power to detect effects at these levels are tabled for eight standard statistical tests.
Journal ArticleDOI
Conducting Meta-Analyses in R with the metafor Package
TL;DR: The metafor package provides functions for conducting meta-analyses in R and includes functions for fitting the meta-analytic fixed- and random-effects models and allows for the inclusion of moderators variables (study-level covariates) in these models.