Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-8689
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dc.contributor.authorGreb, Fabian-
dc.contributor.authorSteffens, Jochen-
dc.contributor.authorSchlotz, Wolff-
dc.date.accessioned2019-07-19T09:37:14Z-
dc.date.available2019-07-19T09:37:14Z-
dc.date.issued2019-03-19-
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/9643-
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-8689-
dc.description.abstractMusic listening has become a highly individualized activity with smartphones and music streaming services providing listeners with absolute freedom to listen to any kind of music in any situation. Until now, little has been written about the processes underlying the selection of music in daily life. The present study aimed to disentangle some of the complex processes among the listener, situation, and functions of music listening involved in music selection. Utilizing the experience sampling method, data were collected from 119 participants using a smartphone application. For 10 consecutive days, participants received 14 prompts using stratified-random sampling throughout the day and reported on their music-listening behavior. Statistical learning procedures on multilevel regression models and multilevel structural equation modeling were used to determine the most important predictors and analyze mediation processes between person, situation, functions of listening, and music selection. Results revealed that the features of music selected in daily life were predominantly determined by situational characteristics, whereas consistent individual differences were of minor importance. Functions of music listening were found to act as a mediator between characteristics of the situation and music-selection behavior. We further observed several significant random effects, which indicated that individuals differed in how situational variables affected their music selection behavior. Our findings suggest a need to shift the focus of music-listening research from individual differences to situational influences, including potential person-situation interactions.en
dc.language.isoen-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subject.ddc150 Psychologiede
dc.subject.ddc780 Musikde
dc.subject.othermusic-listening behavioren
dc.subject.othermusic-selection behavioren
dc.subject.otherfunctions of music listeningen
dc.subject.othermachine learningen
dc.subject.otherexperience sampling methoden
dc.subject.otheruser behavior analysisen
dc.titleModeling Music-Selection Behavior in Everyday Life: A Multilevel Statistical Learning Approach and Mediation Analysis of Experience Sampling Dataen
dc.typeArticleen
tub.accessrights.dnbfree-
tub.publisher.universityorinstitutionTechnische Universität Berlinde
dc.identifier.eissn1664-1078-
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.doi10.3389/fpsyg.2019.00390-
dcterms.bibliographicCitation.journaltitleFrontiers in Psychologyen
dcterms.bibliographicCitation.originalpublisherplaceLausanneen
dcterms.bibliographicCitation.volume10-
dcterms.bibliographicCitation.originalpublishernameFrontiersen
dcterms.bibliographicCitation.articlenumber390-
dc.identifier.pmid30941066en
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