Further application of the generalized matching law to multialternative sports contexts

John Michael Falligant, Ian Cero, Michael P. Kranak, Patricia F. Kurtz

Research output: Contribution to journalArticlepeer-review

Abstract

Cox et al. (2017) successfully applied the multialternative version of the generalized matching law (GML) to pitch selection among a sample of Major League Baseball (MLB) pitchers. The purpose of the present study was to replicate and extend these findings by fitting the multialternative GML to pitch data among a sample of MLB pitchers with varying levels of success in the major leagues. We also examined how matching parameters changed as a function of novel antecedent game contexts such as the infield shift, game location, and number of times the pitcher faced the batters in the batting order. These results replicate the findings from Cox et al. and suggest the multialternative GML is a robust descriptor of pitch selection among MLB pitchers. Together, these findings further extend the generality of the multialternative GML to naturalistic, nonlaboratory environments.

Original languageEnglish (US)
JournalJournal of applied behavior analysis
DOIs
StateAccepted/In press - 2020

Keywords

  • baseball
  • generalized matching law
  • sports
  • translational research

ASJC Scopus subject areas

  • Philosophy
  • Applied Psychology
  • Sociology and Political Science

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