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How Do We Solve Multiplication Problems? the Veridicality of Self-reports Using ERP

 John W. Whalen and Daniel D. Dilks
  
 

Abstract:
Until recently, it has been assumed that adults solve single-digit multiplication problems using a single, efficient solution procedure; that is, adults retrieve the answers from a network of stored "facts". Recent research suggests that adults report using a variety of "procedures" to solve simple single-digit addition, subtraction, and multiplication problems. However, these self-reports have not yet been supported by independent analysis of performance to verify their veridicality. Hence, the goal of this research was to provide converging evidence (behavioral and electrophysiological data) with respect to the veridicality of self-reported nonretrieval strategy use. Participants solved the multiplication problems defined by the combination of all single-digit (0-9) operands. On each trial, participants were told: (1) to solve the multiplication problem as quickly and accurately as possible, and (2) to describe how they solved the problem. Event related potentials (ERPs) were recorded from a high-density (128-channel) sensor net. Reaction times (RTs), error patterns, and ERPs revealed fundamental differences between retrieval and some nonretrieval strategies (e.g., rules versus fact retrieval). However, other subsets of self-reports were indistinguishable suggesting important modifications of theories of arithmetic. An alternative theory of the cognitive and neural bases of multiplication will be discussed. More generally, we have demonstrated the importance of using multiple sources of evidence, including electrophysiological, to elucidate theories of cognition.

 
 


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