Research that draws conclusions from the data without pre-determined theory or hypotheses. This form of reasoning is usually used in qualitative research and studies on underresearched topics or with underresearched communities.
Published in Chapter:
Anti-Racist and Intersectional Approaches in Social Science and Community-Based Research
Jane E. Palmer (American University, USA), Justin Winston Morgan (Harvard University, USA), Sofia Hinojosa (Urban Institute, USA), Julie M. Olomi (University of Central Florida, USA), Leonard Ayala (University of Texas at Dallas, USA), and Andre B. Rosay (University of Alaska, Anchorage, USA)
Copyright: © 2022
|Pages: 22
DOI: 10.4018/978-1-7998-8479-8.ch011
Abstract
Data are not objective, despite the reliance on data for “evidence-based” policy and practice. In this chapter, the authors offer a critical examination of the historical and present day context of racism and oppressive practices in research methods. The authors highlight how racism and oppression manifest at every stage of the research process: from initial conception of the research question to how data is collected, analyzed, and shared. This chapter offers concrete recommendations and solutions for researchers seeking to integrate anti-racist and intersectional approaches into their social science and community-based research.