Differential effects of reward and punishment in decision making under uncertainty: a computational study.

Front Neurosci · 2014 · PMC3930867 · PMID 24600342

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hedged sentence

0.0540

closest p · 1.1× alpha

0.0540

boldest claim

The sentences

at the edge of significancep = 0.054so close (0.05 < p ≤ 0.1)

We find some indications that the WL model fits best after a loss, but this is at the edge of significance ( p = 0.054). 2.4.

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