Validation of the Short Form of the Mood Instability Questionnaire-Trait (MIQ-T-SF) in the Korean General Population

  • Joohyun Yoon
  • , Hyeona Yu
  • , Yoonjeong Jang
  • , Daseul Lee
  • , Yun Seong Park
  • , Hong Kyu Ihm
  • , Hyun A. Ryoo
  • , Nayoung Cho
  • , Jakyung Lee
  • , Yeoju Kim
  • , Jungkyu Park
  • , Hyo Shin Kang
  • , Tae Hyon Ha
  • , Woojae Myung

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Objective Mood instability (MI) is a clinically significant trait associated with psychiatric disorders. However, there are no concise mea-surements to evaluate MI. The initial Mood Instability Questionnaire-Trait (MIQ-T) was developed to fill this gap. The current study aimed to create a short form of MIQ-T (MIQ-T-SF) that measures MI with high validity and reliability in the Korean general population. Methods Of the 59 items in the MIQ-T, 17 items were chosen for the MIQ-T-SF following the factor analysis process. In total, 540 participants completed the MIQ-T-SF. Cronbach’s alpha and McDonald’s omega were used to evaluate reliability. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to determine construct validity. Concurrent validity was confirmed via com-parisons with Personality Assessment Inventory-Borderline Features Scale. Measurement invariance across gender and age groups was confirmed before analyzing differences in scores using Kruskal-Wallis test. Results The MIQ-T-SF displayed expected correlations and high internal consistency (α=0.71–0.90, Ωt=0.72–0.92). Using EFA and CFA, a five-factor structure was confirmed. Measurement invariance was supported, and gender differences were observed. Conclusion The MIQ-T-SF is an accurate and reliable method to detect MI in the Korean general population. The study’s results offer new perspectives for future studies on MI.

Original languageEnglish
Pages (from-to)408-417
Number of pages10
JournalPsychiatry Investigation
Volume20
Issue number5
DOIs
StatePublished - May 2023

UN SDGs

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

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Emotional distress
  • Factor analysis
  • Questionnaire design
  • Validation study

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