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)
Pages (from-to)389-402
Number of pages14
JournalJournal of applied behavior analysis
Volume54
Issue number1
DOIs
StatePublished - Jan 1 2021

Keywords

  • baseball
  • generalized matching law
  • sports
  • translational research

ASJC Scopus subject areas

  • Philosophy
  • Sociology and Political Science
  • Applied Psychology

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