Predicting coarse-grained semantic features in language comprehension: evidence from ERP representational similarity analysis and Chinese classifier.

Cereb Cortex · 2023 · PMC10786091 · PMID 37015899

Europe PMC DOI

hedged sentences

0.0700

closest p · 1.4× alpha

0.0700

boldest claim

The sentences

marginally significantP = 0.07so close (0.05 < p ≤ 0.1)

ANOVAs on the mean amplitude of nouns with the factors classifier type, congruency condition, and ROIs revealed main effects of congruency condition ( F = 38.26, P < 0.001) and classifier types ( F = 24.00, P = 0.03), an interaction between the three factors ( F = 127.66, P < 0.001), and a marginally significant interaction between classifier type and congruency condition ( F = 48.00, P = 0.07).

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failed to reach significanceno p-value reported

The effect of frequency failed to reach significance ( F < 1).

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