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Related Experiment Videos

Korean panic disorder severity scale: construct validity by confirmatory factor analysis.

Young-Jin Lim1, Bum-Hee Yu, Ji-Hae Kim

  • 1Department of Psychiatry, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.

Depression and Anxiety
|July 18, 2006
PubMed
Summary
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The Panic Disorder Severity Scale (PDSS) demonstrates strong psychometric properties. A two-factor model best fits PDSS data, validating its use in Korean clinical samples for assessing panic disorder severity.

Area of Science:

  • Psychiatry
  • Clinical Psychology
  • Psychometrics

Background:

  • The Panic Disorder Severity Scale (PDSS) is a widely used measure for panic disorder.
  • Previous factor-analytic studies have yielded inconsistent results regarding the PDSS structure.
  • Validating the PDSS structure is crucial for accurate severity assessment.

Purpose of the Study:

  • To evaluate the fit of two competing models for the Panic Disorder Severity Scale (PDSS).
  • To determine the most appropriate factor structure for the PDSS in a clinical sample.
  • To assess the generalizability of the PDSS factor structure to a Korean population.

Main Methods:

  • Collected data from 176 patients meeting DSM-IV criteria for panic disorder.
  • Administered structured diagnostic assessments and PDSS interviews.

Related Experiment Videos

  • Performed factor analysis to compare a two-factor model against other potential structures.
  • Main Results:

    • A two-factor correlated model demonstrated superior fit to the PDSS data.
    • Model fit indices included TLI=0.94, CFI=0.96, RMSEA=0.08, and SRMR=0.04.
    • Cross-validation confirmed the model's appropriateness in subgroups and a Korean clinical sample.

    Conclusions:

    • The two-factor correlated model is the most appropriate structure for the PDSS.
    • The PDSS demonstrates construct validity and generalizability in Korean clinical samples.
    • Findings support the reliable use of the PDSS for assessing panic disorder severity across diverse populations.