Validation of hierarchical taxonomy in a clinical sample

Area of Science:

• Psychiatry and Psychology
• Quantitative Psychology
• Clinical Assessment

Background:

• Dimensional models of psychopathology are empirically supported and are being developed into a hierarchical taxonomy (HiTOP).
• The hierarchical structure suggests optimal resolution levels may differ for various applications.
• Current research aims to determine the most valid and explanatory level of detail for clinical variables.

Purpose of the Study:

• To identify the optimal level of detail within a dimensional hierarchical taxonomy of psychopathology (HiTOP) for clinical assessment.
• To compare the validity and explanatory power of different levels of psychopathology dimensions in relation to psychosocial functioning.

Main Methods:

• Utilized data from 2900 psychiatric outpatients from the Rhode Island Methods to Improve Diagnostic Assessment and Services project.
• Compared different levels of a dimensional psychopathology model against various psychosocial impairment domains.

Main Results:

• General psychopathology was significantly linked to all functioning indices.
• More complex levels of psychopathology dimensions offered significant incremental validity.
• The optimal level of complexity differed across various functioning indices, such as global functioning, work ability, social functioning, and suicidality.

Conclusions:

• Findings support the hierarchical organization of psychopathology dimensions for validity and applied assessment.
• Measurement of psychopathology dimensions should be tailored to the specific purpose and context.
• These results can inform HiTOP-consistent assessment in research and clinical settings.