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dc.contributor.advisorFrey, Lisa
dc.contributor.authorLaws-Rodriguez, Joaquin
dc.date.accessioned2021-07-12T15:25:07Z
dc.date.available2021-07-12T15:25:07Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/11244/330131
dc.description.abstractThe purpose of this study was to examine the relationship between music appreciation and emotional intelligence to relational health. Participants consisted of 848 adults aged 18-80 (M = 38, SD = 12.71) from 2 independent sampling sources, Mechanical Turk (n = 430, 51%) and Social Media (n = 418, 49%). The study consisted of three separate hypotheses: (a) as a set of variables, relevant demographic data, degree of music appreciation, and emotional intelligence scores will significantly predict overall relational health scores; (b) music appreciation and emotional intelligence scores will individually and significantly predict relational health scores; (c) music appreciation and emotional intelligence scores will significantly interact to predict relational health scores. Data analysis included a four step hierarchical multiple regression to investigate the relationship between music appreciation and emotional intelligence on relational health scores.en_US
dc.languageen_USen_US
dc.rightsAttribution-NoDerivatives 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nd/4.0/*
dc.subjectMusic Appreciationen_US
dc.subjectEmotional Intelligenceen_US
dc.subjectRelational Healthen_US
dc.subjectTherapyen_US
dc.titleRelationship of Music Appreciation and Emotional Intelligence to Relational Healthen_US
dc.contributor.committeeMemberDavidson, Tim
dc.contributor.committeeMemberBradshaw, Amy
dc.contributor.committeeMemberGerber, Casey
dc.contributor.committeeMemberHeddy, Ben
dc.date.manuscript2019-05-03
dc.thesis.degreePh.D.en_US
ou.groupJeannine Rainbolt College of Education::Department of Educational Psychologyen_US
shareok.nativefileaccessrestricteden_US


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Attribution-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NoDerivatives 4.0 International