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Related Experiment Videos

Using cognitive interviews to develop surveys in diverse populations.

Anna M Nápoles-Springer1, Jasmine Santoyo-Olsson, Helen O'Brien

  • 1Medical Effectiveness Research Center for Diverse Populations and the Center on Aging in Diverse Communities, University of California at San Francisco, San Francisco, California 94118-1944, USA. anna.napoles-springer@ucsf.edu

Medical Care
|October 25, 2006
PubMed
Summary
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Interaction analysis (IA) of cognitive interviews effectively identified issues in survey items, improving conceptual equivalence across diverse racial and ethnic groups. This method enhances survey development for health research.

Area of Science:

  • Health services research
  • Survey methodology
  • Qualitative research methods

Background:

  • Conceptual equivalence is crucial for cross-cultural health comparisons.
  • Cognitive interviews are a key pretesting method for survey items.
  • Systematic approaches for cognitive interview analysis are developing.

Purpose of the Study:

  • To describe an interaction analysis (IA) approach for cognitive interview transcripts.
  • To analyze qualitative data using software for survey instrument development.
  • To assess the quality of interpersonal care processes for diverse patient populations.

Main Methods:

  • Cognitive interviews with standard administration and retrospective probes.
  • Interaction analysis (IA) of interview transcripts using qualitative data analysis software.

Related Experiment Videos

  • Behavior coding of survey items and respondent comments.

    • Main Results:

    • 79% of survey items (126/159) had identified problems.
    • IA identified 94 additional problematic items, revealing the nature of issues.
    • Both IA and behavior coding highlighted ethnic and language differences in item interpretation and response sets.

    Conclusions:

    • Interaction analysis and behavior coding efficiently identify item problems in cognitive interviews.
    • These methods enhance the likelihood of achieving conceptual equivalence across diverse ethnic groups.
    • The approach aids in modifying or dropping survey items based on respondent feedback.