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Do complex span and content-embedded working memory tasks predict unique variance in inductive reasoning?

Zamary, Amanda Sue

Abstract Details

2017, MA, Kent State University, College of Arts and Sciences / Department of Psychological Sciences.
People use inductive reasoning to make inferences and solve problems on a daily basis. Inductive reasoning theories assume that maintenance (achieved by the working memory system) is necessary for successful reasoning. However, the working memory system is assumed to be multifaceted, and maintenance is only one function of the system. Other facets of the system (i.e., disengagement) may also be important for inductive reasoning. Importantly, different kinds of working memory tasks may reflect various components of the working memory system to different degrees. The purpose of the current research was to investigate the extent to which different kinds of working memory tasks predict unique variance in inductive reasoning. We predicted inductive reasoning using complex span tasks (theorized to put a greater emphasis on maintenance processes) and content-embedded tasks (theorized to put a greater emphasis on disengagement processes). Our model predicted 51% of the variance in inductive reasoning; 45% of the variance in inductive reasoning was uniquely predicted by content-embedded tasks whereas less than 1% was uniquely predicted by complex span tasks. We attribute the unique predictive power of content-embedded tasks to greater emphasis on disengagement processes, suggesting that disengagement is important for inductive reasoning success.
Katherine Rawson (Committee Chair)
John Dunlosky (Committee Member)
Chris Was (Committee Member)
Jeff Ciesla (Committee Member)
36 p.

Recommended Citations

Citations

  • Zamary, A. S. (2017). Do complex span and content-embedded working memory tasks predict unique variance in inductive reasoning? [Master's thesis, Kent State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=kent1499076527118681

    APA Style (7th edition)

  • Zamary, Amanda. Do complex span and content-embedded working memory tasks predict unique variance in inductive reasoning? 2017. Kent State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=kent1499076527118681.

    MLA Style (8th edition)

  • Zamary, Amanda. "Do complex span and content-embedded working memory tasks predict unique variance in inductive reasoning?" Master's thesis, Kent State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=kent1499076527118681

    Chicago Manual of Style (17th edition)