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A PANAS Structure Analysis: On the Validity of a Bifactor Model in Korean College Students

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dc.contributor.authorPark, Hongseok-
dc.contributor.authorLee, Jeong-Mi-
dc.contributor.authorKoo, Sohee-
dc.contributor.authorChung, So-Youn-
dc.contributor.authorLee, Seongki-
dc.contributor.authorCho, Young Il-
dc.date.accessioned2024-08-08T11:31:48Z-
dc.date.available2024-08-08T11:31:48Z-
dc.date.issued2022-12-
dc.identifier.issn2071-1050-
dc.identifier.issn2071-1050-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/21799-
dc.description.abstractThe purpose of this study was to determine the best model fit among the six models in the Korean version of Positive and Negative Affect Schedule (K-PANAS). Therefore, this study compared and analyzed the dimensional structure of this schedule for Korean college students. Specifically, the model fitness of six models, which are under debate, were compared: a single model for K-PANAS, a two-factor model (PA&NA) without any factor correlation, a three-factor model (PA, NA-Afraid, NA-Upset), a two-factor bifactor model, a three-factor bifactor model, and a three-factor bifactor model with error correlation. A total of 875 samples were analyzed, and the results show that best model fit is the three-factor bifactor model with error correlation. We named the general factor of the bifactor model "activation (or arousal)." This findings of this study will provide a richer explanation of emotions for researchers analyzing emotional activation (or arousal), a general factor of emotion, PA, and NA future studies that use PANAS.-
dc.format.extent11-
dc.language영어-
dc.language.isoENG-
dc.publisherMDPI-
dc.titleA PANAS Structure Analysis: On the Validity of a Bifactor Model in Korean College Students-
dc.typeArticle-
dc.publisher.location스위스-
dc.identifier.doi10.3390/su142416456-
dc.identifier.scopusid2-s2.0-85144879497-
dc.identifier.wosid000902730500001-
dc.identifier.bibliographicCitationSustainability, v.14, no.24, pp 1 - 11-
dc.citation.titleSustainability-
dc.citation.volume14-
dc.citation.number24-
dc.citation.startPage1-
dc.citation.endPage11-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassssci-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalResearchAreaEnvironmental Sciences & Ecology-
dc.relation.journalWebOfScienceCategoryGreen & Sustainable Science & Technology-
dc.relation.journalWebOfScienceCategoryEnvironmental Sciences-
dc.relation.journalWebOfScienceCategoryEnvironmental Studies-
dc.subject.keywordPlusNEGATIVE AFFECT SCHEDULE-
dc.subject.keywordPlusCONFIRMATORY FACTOR-ANALYSIS-
dc.subject.keywordPlusEMOTION REGULATION-
dc.subject.keywordPlusCIRCUMPLEX MODEL-
dc.subject.keywordPlusADOLESCENTS-
dc.subject.keywordPlusANXIETY-
dc.subject.keywordPlusPERFORMANCE-
dc.subject.keywordPlusVALIDATION-
dc.subject.keywordPlusINVARIANCE-
dc.subject.keywordPlusCHILDREN-
dc.subject.keywordAuthorPANAS-
dc.subject.keywordAuthoraffect-
dc.subject.keywordAuthorbifactor model-
dc.subject.keywordAuthorgeneral factor-
dc.subject.keywordAuthoremotional arousal-
dc.subject.keywordAuthorrecidivism-
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