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Appears in Collections:Psychology Journal Articles
Peer Review Status: Refereed
Title: Large-scale replication study reveals a limit on probabilistic prediction in language comprehension
Author(s): Nieuwland, Mante S
Politzer-Ahles, Stephen
Heyselaar, Evelien
Segaert, Katrien
Darley, Emily
Kazanina, Nina
Wolfsthurn, Sarah Von Grebmer Zu
Bartolozzi, Federica
Kogan, Vita
Ito, Aine
Meziere, Diane
Barr, Dale J
Rousselet, Guillaume A
Ferguson, Heather
Donaldson, David
Issue Date: 3-Apr-2018
Citation: Nieuwland MS, Politzer-Ahles S, Heyselaar E, Segaert K, Darley E, Kazanina N, Wolfsthurn SVZG, Bartolozzi F, Kogan V, Ito A, Meziere D, Barr DJ, Rousselet GA, Ferguson H & Donaldson D (2018) Large-scale replication study reveals a limit on probabilistic prediction in language comprehension, eLife, 7, Art. No.: e33468.
Abstract: Do people routinely pre-activate the meaning and even the phonological form of upcoming words? The most acclaimed evidence for phonological prediction comes from a 2005 Nature Neuroscience publication by DeLong, Urbach and Kutas, who observed a graded modulation of electrical brain potentials (N400) to nouns and preceding articles by the probability that people use a word to continue the sentence fragment (‘cloze’). In our direct replication study spanning 9 laboratories (N=334), pre-registered replication-analyses and exploratory Bayes factor analyses successfully replicated the noun-results but, crucially, not the article-results. Pre-registered single-trial analyses also yielded a statistically significant effect for the nouns but not the articles. Exploratory Bayesian single-trial analyses showed that the article-effect may be non-zero but is likely far smaller than originally reported and too small to observe without very large sample sizes. Our results do not support the view that readers routinely pre-activate the phonological form of predictable words.
DOI Link:
Rights: Copyright Nieuwland et al. This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.
Notes: Additional co-authors: Simon Busch-Moreno, Xiao Fu, Jyrki Tuomainen, Eugenia Kulakova, E Matthew Husband, Zdenko Kohút, Shirley-Ann Rueschemeyer, Falk Huettig

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