Searching for a consensus five-factor model of the Positive and Negative Syndrome Scale for schizophrenia

Area of Science:

• Psychiatry
• Psychometrics
• Clinical Psychology

Background:

• The Positive and Negative Syndrome Scale (PANSS) is a widely used tool for assessing schizophrenia symptoms.
• The original PANSS structure comprises three subscales, but factor analyses suggest alternative models.
• Disagreement on the optimal PANSS model hinders consistent data interpretation across research.

Purpose of the Study:

• To establish a consensus-based factor model for the PANSS.
• To compare the fit of different PANSS models using empirical data.
• To enhance the reliability and comparability of PANSS assessments in research.

Main Methods:

• A systematic review and "vote counting" of published PANSS factor analyses were conducted.
• Confirmatory factor analysis was used to evaluate model fit in Caucasian and Japanese samples.
• Model fit was assessed using the Comparative Fit Index (CFI).

Main Results:

• A five-factor model demonstrated superior fit in both Caucasian (CFI=.970) and Japanese (CFI=.964) samples compared to the three-subscale model.
• The proposed five-factor model showed high consistency in item sorting across reviewed studies.
• This consensus model addresses the limitations of the original PANSS structure.

Conclusions:

• A five-factor model provides a more robust and empirically supported structure for the PANSS.
• Adopting a consensus model will improve the comparability of PANSS data across diverse studies.
• This research contributes to standardized assessment in schizophrenia research.