Modeling Linguistic Variables With Regression Models: Addressing Non-Gaussian Distributions, Non-independent Observations, and Non-linear Predictors With Random Effects and Generalized Additive Models for Location, Scale, and Shape.

Front Psychol · 2018 · PMC5911484 · PMID 29713298

Europe PMC DOI

hedged sentence

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closest p

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boldest claim

The sentences

slightly significantno p-value reported

This illustrates the sensitivity of the results to the algorithm, and therefore reminds us to be cautious when concluding on the basis of only “slightly significant” p -values.

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