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MEASURING EVERYDAY RACIAL/ETHNIC DISCRIMINATION IN HEALTH SURVEYS: How Best to Ask the Questions, in One or Two
Salma Shariff-Marco1, Nancy Breen2, Hope Landrine3
1Division of Cancer Control and Population Sciences, National Cancer Institute.
Du Bois Review : Social Science Research on Race
|January 23, 2018
Summary
Measuring racial/ethnic discrimination is complex. This study developed a reliable self-report measure, offering guidelines for researchers to compare findings across diverse groups and understand health disparities.
Area of Science:
- Health Disparities
- Psychometrics
- Sociology
Background:
- Self-reported discrimination is linked to illness, but measurement challenges persist.
- Existing methods for assessing unfair treatment vary, complicating comparisons.
- Understanding these measurement issues is crucial for public health research.
Purpose of the Study:
- To evaluate the psychometric properties of a self-reported discrimination instrument.
- To compare two different approaches to measuring racial/ethnic discrimination.
- To develop practical guidelines for researchers measuring discrimination.
Main Methods:
- Assessed psychometric properties of a self-report instrument in a population-based sample.
- Compared findings from two distinct survey question approaches.
- Analyzed data across multiple racial/ethnic groups.
Main Results:
- A tested subset of items measured a single concept of discrimination.
- Different racial/ethnic groups reported different aspects of discrimination.
- Inclusion of race in survey questions impacted reported frequency and scores.
Conclusions:
- Researchers should exercise caution when comparing studies using varied discrimination measures.
- Developed a validated self-report measure for recent racial/ethnic discrimination.
- The measure facilitates comparison of discrimination's impact on health disparities across groups.
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