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Peer reviewed
Direct linkAnglim, Jeromy; Wynton, Sarah K. A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
The current study used Bayesian hierarchical methods to challenge and extend previous work on subtask learning consistency. A general model of individual-level subtask learning was proposed focusing on power and exponential functions with constraints to test for inconsistency. To study subtask learning, we developed a novel computer-based booking…
Descriptors: Bayesian Statistics, Hierarchical Linear Modeling, Learning, Statistical Analysis
