Development of the CAT-ANX: a computerized adaptive test for anxiety

Area of Science:

• Psychological assessment
• Psychometrics
• Clinical psychology

Background:

• Traditional anxiety assessments often involve a fixed number of items, leading to variable measurement precision.
• This can result in unnecessary patient and clinician burden.
• There is a need for more efficient and precise methods for anxiety assessment.

Purpose of the Study:

• To develop and validate the Computerized Adaptive Testing-Anxiety Inventory (CAT-ANX).
• To decrease patient and clinician burden associated with anxiety measurement.
• To increase the precision of anxiety severity estimates.

Main Methods:

• Recruited 1,614 individuals with and without generalized anxiety disorder (GAD).
• Developed the Computerized Adaptive Testing-Anxiety Inventory (CAT-ANX).
• Utilized the Structured Clinical Interview for DSM-IV for diagnostic classifications.

Main Results:

• An average of 12 items achieved a 0.3 standard error in anxiety severity, correlating highly with a 431-item test.
• CAT-ANX scores strongly predicted the probability of a GAD diagnosis.
• Comorbid major depressive disorder and GAD were accurately predicted using CAT-ANX and a depression inventory.

Conclusions:

• Computerized adaptive testing allows for fixed measurement uncertainty by varying item number and content.
• This approach dramatically reduces the number of items needed for accurate anxiety assessment.
• CAT-ANX shows potential for inexpensive, efficient, and accurate anxiety screening in various settings.