APS
APS Virtual Poster Showcase · 2020
Bias-Corrected Reaction Time Analyses Corroborate Findings of Implicit Grammar Learning in an Artificial Language Experiment
- 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