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Multialternative Decision Field Theory Model Fitting Using Different Measures of Attribute Weighting

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2015, Master of Arts, Miami University, Psychology.
Very few researchers have used empirical data to fit Multialternative decision field theory (MDFT). The current research designed an apartment choice task to fit experimental data into MDFT to test the theory’s choice predicted accuracy. The same data was also used to fit the expected utility theory. Three different measures of attribute weighting, calculated from self-report and eye tracking data, were used to test which measure can predict people’s choice better. The results showed that MDFT’s predicted accuracy was higher than the expected utility theory, and the three attribute weightings performed relatively well at predicting choice accuracy.
Joseph Johnson (Advisor)
Christopher Wolfe (Committee Member)
Amy Summerville (Committee Member)
37 p.

Recommended Citations

Citations

  • Zhang, R. (2015). Multialternative Decision Field Theory Model Fitting Using Different Measures of Attribute Weighting [Master's thesis, Miami University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=miami1435832481

    APA Style (7th edition)

  • Zhang, Ruohui. Multialternative Decision Field Theory Model Fitting Using Different Measures of Attribute Weighting. 2015. Miami University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=miami1435832481.

    MLA Style (8th edition)

  • Zhang, Ruohui. "Multialternative Decision Field Theory Model Fitting Using Different Measures of Attribute Weighting." Master's thesis, Miami University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=miami1435832481

    Chicago Manual of Style (17th edition)