APS

APS Virtual Poster Showcase · 2020

Bias-Corrected Reaction Time Analyses Corroborate Findings of Implicit Grammar Learning in an Artificial Language Experiment

Virtual · June 2020

Poster Sessions · Cognitive

  • David Abugaber
    University of Illinois at Chicago
  • Kara Morgan-Short
    University of Illinois at Chicago
  • Laura Batterink
    Western University

Abstract

We conducted a partial replication of an artificial language study on rule-aware vs. rule-unaware grammar learning (Batterink et al., 2014). Bootstrap-based bias correction methods for reaction time data (Rousselet & Wilcox, in press) replicated prior findings that both participants with and without rule awareness can show indices of grammar acquisition.

Language/Speech