A sequence identification measurement model to investigate the implicit learning of metrical temporal patterns.

PLoS One · 2013 · PMC3783451 · PMID 24086461

Europe PMC DOI

hedged sentence

0.2600

closest p · 5.2× alpha

0.2600

boldest claim

The sentences

fell short of significancep = .26not close (p > 0.1)

When the model was fitted to the data without any restrictions (i.e., all parameters were free) the model fit fell short of significance ( PD λ = 10.16, p = .26), but there was decent evidence for the model (ΔAIC = 2.16).

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