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Testing Recognition Memory Models with Forced-choice Testing

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dc.contributor.advisorJeffrey J. Starns
dc.contributor.authorMa, Qiuli
dc.contributor.departmentUniversity of Massachusetts Amherst
dc.contributor.departmentPsychology
dc.date2024-03-28T20:07:47.000
dc.date.accessioned2024-04-26T18:26:04Z
dc.date.available2024-04-26T18:26:04Z
dc.date.submittedFebruary
dc.date.submitted2019
dc.description.abstractPeople’s ability to call an experienced item “old” and a novel item “new” is recognition memory. Recognition memory is usually studied by first asking participants to learn a list of words and then make judgments of old (studied) or new (not studied) for test words. It has long been debated whether the underlying process of recognition memory is continuous or discrete. Two types of models are compared specifically that assume either discrete or continuous information states: the 2-high threshold (2HT) model and the unequal variance signal detection (UVSD) model, respectively. Researchers have used the receiver operation characteristic (ROC) function and response time (RT) data to test between the two models. However, both methods have provided evidence for 2HT and UVSD, and the debate has not come to consensus. In this study, we used an alternative approach to look into this issue. After studying the words, participants first made “old/new” judgment for each single test item. Then, if there were falsely identified items, each of them was randomly paired with a correctly identified word of the same response. Participants were asked to choose the studied word from the word pair. Simulation and experimental results were able to discriminate the 2HT and UVSD model. Experimental results showed that the UVSD model fitted the data better than the 2HT model. The forced-choice test paradigm provided an effective way to test between the 2HT and UVSD models.
dc.description.degreeMaster of Science (M.S.)
dc.identifier.doihttps://doi.org/10.7275/13145677
dc.identifier.orcidN/A
dc.identifier.urihttps://hdl.handle.net/20.500.14394/33794
dc.relation.urlhttps://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1773&context=masters_theses_2&unstamped=1
dc.source.statuspublished
dc.subjectRecognition memory
dc.subjectModel
dc.subjectSignal detection theory
dc.subjectDiscrete-state model
dc.subjectForced-choice
dc.subjectCognitive Psychology
dc.titleTesting Recognition Memory Models with Forced-choice Testing
dc.typeopenaccess
dc.typearticle
dc.typethesis
digcom.contributor.authorisAuthorOfPublication|email:hahanma@gmail.com|institution:University of Massachusetts Amherst|Ma, Qiuli
digcom.identifiermasters_theses_2/746
digcom.identifier.contextkey13145677
digcom.identifier.submissionpathmasters_theses_2/746
dspace.entity.typePublication
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