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dc.contributor.advisorToplak, Maggie E
dc.contributor.authorSaoud, Wafa
dc.date.accessioned2020-08-11T12:41:50Z
dc.date.available2020-08-11T12:41:50Z
dc.date.issued2020-08-11
dc.identifier.urihttp://hdl.handle.net/10315/37709
dc.description.abstractConfidence and its accuracy have been most commonly examined in domains such as general knowledge and learning, and have been rarely studied in social domains. The current study extends the study of metacognitive monitoring accuracy in an academic context, to metacognitive monitoring accuracy in a social context. Monitoring accuracy indices, both calibration and discrimination, were examined for emotional face recognition in 136 university students through an experimental task paradigm developed by Kelly and Metcalfe (2011). To examine whether monitoring accuracy is stable within individuals and across tasks that represent diverse areas, metacognitive monitoring for emotional face recognition was compared to metacognitive monitoring for general knowledge. In addition, correlations between monitoring accuracy and cognitive abilities (intellectual ability and working memory), several aggregated judgments regarding each task as a whole (ratings of predicted and postdictive performance, difficulty, and effort required), as well as self-perceptions relating to social anxiety, empathic ability, differentiation of emotions, and emotion regulation skills were explored. Calibration, but not resolution, was positively correlated across tasks, reflecting a person-centered trait. Cognitive abilities were predictive of monitoring accuracy across tasks, while other task-specific judgments and self-perception variables demonstrated specific associations with monitoring accuracy for emotional face recognition. Monitoring accuracy for emotional face recognition was not predictive of self-reported social-emotional challenges. Overall, study findings support that calibration and resolution are separate indicators of monitoring accuracy, both relevant for understanding metacognitive monitoring in a social domain.
dc.languageen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectPsychology
dc.titleMonitoring Accuracy Across Domains of General Knowledge and Emotional Face Recognition
dc.typeElectronic Thesis or Dissertation
dc.degree.disciplinePsychology (Functional Area: Clinical-Developmental)
dc.degree.namePhD - Doctor of Philosophy
dc.degree.levelDoctoral
dc.date.updated2020-08-11T12:41:50Z
dc.subject.keywordsMonitoring Accuracy
dc.subject.keywordsEmotional Face Recognition
dc.subject.keywordsCalibration
dc.subject.keywordsResolution


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