Investigating the Best Structure to Conceptualize and Assess Multidimensional Schizotypy.

Area of Science:

• Psychiatry and Psychology
• Psychometrics
• Schizophrenia Spectrum Disorders

Background:

• Schizotypy is a key construct for schizophrenia-spectrum psychopathology.
• Current models often use three factors: positive, negative, and disorganized dimensions.
• Recent research suggests four- and five-factor structures for schizotypy.

Purpose of the Study:

• To compare the predictive validity of different schizotypy factor models.
• To determine if four- and five-factor models improve prediction of outcome measures compared to the three-factor model.
• To guide future research on schizotypy factor structures.

Main Methods:

• Confirmatory factor analysis (CFA) and exploratory structural equation models (ESEM) were used.
• The Multidimensional Schizotypy Scale (MSS) items from 10,814 adults were analyzed.
• Hierarchical linear regressions assessed prediction of interview and questionnaire symptom measures.

Main Results:

• Three-, four-, and five-factor models demonstrated good fit to the data.
• The four- and five-factor models did not significantly improve prediction of outcome measures.
• Exploratory analyses indicated potential value for negative schizotypy subfactors.

Conclusions:

• The findings support the continued use of positive, negative, and disorganized schizotypy factors.
• Alternative schizotypy models should be developed through conceptual, not purely exploratory, methods.
• The three-factor model remains a robust framework for understanding schizotypy.