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Article . 2022 . Peer-reviewed
License: CC BY
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Article . 2022
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A PANAS Structure Analysis: On the Validity of a Bifactor Model in Korean College Students

Authors: Hongseok Park; Jeong-Mi Lee; Sohee Koo; So-Youn Chung; Seongki Lee; Young Il Cho;

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

Abstract

The 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.

Keywords

PANAS; affect; bifactor model; general factor; emotional arousal; recidivism, recidivism, Environmental effects of industries and plants, TJ807-830, TD194-195, Renewable energy sources, bifactor model, emotional arousal, Environmental sciences, PANAS, affect, GE1-350, general factor

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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