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A framework for understanding modifications to measures for diverse populations.

Anita L Stewart1, Angela D Thrasher, Jack Goldberg

  • 1Institute for Health & Aging, University of California, San Francisco, San Francisco, CA 94118, USA. anita.stewart@ucsf.edu

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PubMed
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Adapting self-report measures for diverse populations is crucial for studying health disparities. This framework guides researchers on modifying instruments for ethnic minorities and older adults, ensuring research validity.

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Area of Science:

  • Health disparities research
  • Psychometrics
  • Sociology

Background:

  • Self-report measures are essential for studying health disparities in ethnic minorities and vulnerable older populations.
  • Existing instruments, often developed on mainstream populations, may require adaptation for diverse groups.
  • Limited guidance exists on modifying these measures for research with varied populations.

Purpose of the Study:

  • To present a framework of issues to consider when modifying self-report measures for diverse populations.
  • To provide guidance on adapting instruments for research on health disparities in ethnic minorities and older adults.

Main Methods:

  • Review of reasons for measure modification.
  • Identification of information sources for modification.
  • Categorization of modification types used by researchers.
  • Recommendations for testing and reporting modified measures.

Main Results:

  • A framework outlining considerations for adapting self-report measures.
  • Guidance on the process of modification, including data utilization and types of changes.
  • Emphasis on the importance of rigorous testing and transparent reporting of adapted measures.

Conclusions:

  • The presented framework initiates a discussion on appropriate guidelines for adapting measures.
  • Encourages dialogue on best practices for researchers studying ethnically diverse populations.
  • Highlights the need for standardized approaches to ensure the validity of adapted instruments.