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Can Data Disaggregation Resolve Blind Spots in Policy Making? Examining a Case for Native Hawaiians

Abstract

This study addressed whether or not the increasing reliance on data-driven decision making stands to improve policy efforts to address challenges faced by Asian American and Pacific Islander communities. In doing this, this study examined those who identified as Native Hawaiian in the U.S. Census data and further disaggregated this sample by ancestry and geographic location to test whether there are variations within this population across socioeconomic indicators. The findings suggest that while further data disaggregation can sharpen policy making to address patterns of socioeconomic inequalities, disaggregation alone is still insufficient for fully capturing the complexity of human experiences that reinforce those disparities.

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