Researchers are encouraged to clearly define race and ethnicity in their works, indicating whether the data was self-reported or assigned, and to clarify the reasons behind the categories chosen for analysis.
It's crucial to critically assess whether collecting race and ethnicity information is necessary for a study, emphasizing that it should only be included if it directly relates to the research question.
Beyond race and ethnicity, researchers should explore alternative variables such as immigration status, genetic markers, and stress-related biomarkers that might provide a more comprehensive understanding of the subjects.
The practice of combining race and ethnicity categories to increase statistical power is discouraged, as it oversimplifies complex social constructs and may lead to misleading interpretations.
#research-methodology #race-and-ethnicity #data-collection #alternative-variables #statistical-analysis
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