Methodological Considerations in Scale Refinement with Diverse Populations: A Case Example Using the CES-D with a...

Area of Science:

• Psychological Measurement
• Psychometrics
• Cultural Adaptation of Assessments

Background:

• Psychometric assessments lack validation in diverse populations, particularly American Indian women.
• Existing depression scales may not accurately capture symptoms in specific cultural groups.
• Tailoring psychological measures is crucial for accurate population-based research.

Purpose of the Study:

• To examine the psychometric properties of the Center for Epidemiological Studies Depression Scale (CES-D) in a sample of American Indian women.
• To adapt and refine the CES-D for improved measurement of depressive symptoms in this population.
• To provide a methodological framework for scale refinement in diverse groups.

Main Methods:

• A procedural method was used to analyze the 20-item CES-D with a community sample of southeast American Indian women.
• Item-to-total correlation (ITC) was used to assess the validity of individual items.
• The scale was revised by removing an item that showed diminished validity.

Main Results:

• The original 20-item CES-D demonstrated strong psychometric reliability.
• The "effort" item exhibited counter-intuitive ITC, suggesting diminished validity.
• A revised 19-item CES-D showed improved psychometric fit for this population, though it tended to underestimate depression severity.

Conclusions:

• The 19-item CES-D offers a psychometrically refined measure for assessing depression in American Indian women.
• Researchers should consider the trade-offs between using original scales for consistency and refined scales for better fit.
• The presented method aids in informed decision-making for adapting psychological scales for diverse populations.