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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
  • , Young Il Cho

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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.

Original languageEnglish
Article number16456
JournalSustainability (Switzerland)
Volume14
Issue number24
DOIs
StatePublished - Dec 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • PANAS
  • affect
  • bifactor model
  • emotional arousal
  • general factor
  • recidivism

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