Exploring Variation Between Artificial Grammar Learning Experiments: Outlining a Meta‐Analysis Approach

Topics in Cognitive Science 12 (3):875-893 (2020)
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Abstract

Studies of AGL have frequently used training and test stimuli that might provide multiple cues for learning, raising the question what subjects have actually learned. Using a selected subset of studies on humans and non‐human animals, Trotter et al. demonstrate how a meta‐analysis can be used to identify relevant experimental variables, providing a first step in asssessing the relative contribution of design features of grammars as well as of species‐specific effects on AGL.

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