Intangible features extraction in the processing of

HIGHLIGHTS

  • who: Dounia Lakhzoum et al. from the Université Clermont Auvergne, CNRS, LAPSCO, France have published the paper: Intangible features extraction in the processing of , in the Journal: PLOS ONE of 30/Oct/2020
  • what: This analysis showed a Bayes Factor of 10.93 (median=0.39; 95CI ). The aim of the norming study for Experiment 2 was to find corresponding concrete images for each picture-word combination in Experiment 1. The analysis showed a Bayes Factor of 7.67 (median=0.30; CI ) in favour of the alternative hypothesis for the difference between related and . . .

     

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