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

Hongseok Park, Jeong-Mi Lee, Sohee Koo, So-Youn Chung, Seongki Lee and Young Il Cho ()
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Hongseok Park: Department of Counselling Psychology, Graduate School of Education, Hankuk University of Foreign Studies, Seoul 02450, Republic of Korea
Jeong-Mi Lee: Department of Counseling Psychology, Seoul Graduate School of Counselling Psychology, Seoul 03136, Republic of Korea
Sohee Koo: Vision Department, LS ELECTRIC, Seoul 03722, Republic of Korea
So-Youn Chung: Division of Police Administration, Dongguk University, Seoul 04620, Republic of Korea
Seongki Lee: College of Law, Sungshin Women’s University, Seoul 02844, Republic of Korea
Young Il Cho: Division of Police Administration, Dongguk University, Seoul 04620, Republic of Korea

Sustainability, 2022, vol. 14, issue 24, 1-11

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 (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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