Imageability effects in word recognition 1

HIGHLIGHTS

  • who: Dymarska and Agata from the Department of Psychology, Lancaster University have published the Article: IMAGEABILITY EFFECTS IN WORD RECOGNITION 1, in the Journal: (JOURNAL)
  • what: The authors ran Bayesian linear regressions in JASP (JASP Team, 2020) with default JZS priors (r=.354) and a Bernoulli distribution (p=0.5), from which the authors report Bayes Factors for model comparisons between hierarchical steps and posterior inclusion Bayes Factors of imageability coefficients (i.e., indicating the relative likelihood of models including a particular predictor compared to models excluding it). The authors therefore wanted to examine potential . . .

     

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