Validation of self-reported measures can be achieved effectively and accurately when data collection involves objective measures that can be clinically validated. On the other hand, validation of self-reported social constructs, often used in health disparities research is a much harder task to achieve, particularly when the outcome is hard to quantify (e.g. racism, discrimination and segregation experience). We discuss validation and the challenges faced, when using current approaches in health disparities research.