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Lopez, Jameson D. – Journal of Diversity in Higher Education, 2021
The purpose of this study is to use Indigenous data collection to present construct validity of an instrument designed to test the American Indian/Alaska Native Millennium Falcon Postsecondary Persistence Model (Lopez, 2018). In the following, I describe an alternative sampling technique based on an Indigenous quantitative methodology to examine…
Descriptors: Construct Validity, Measures (Individuals), American Indian Students, Alaska Natives
Morgan Consoli, Melissa L.; Marin, Patricia – Journal of Diversity in Higher Education, 2016
Diversity courses in higher education have been associated with many positive educational and developmental outcomes as well as challenges. Studies have examined these types of undergraduate courses within education, psychology, and other disciplines (e.g., Hurtado, 2001; Hurtado, Mayhew, & Engberg, 2012; Larke & Larke, 2009); however,…
Descriptors: Higher Education, Graduate Study, Graduate Students, Teaching Methods
Gravley-Stack, Kara; Ray, Chris M.; Peterson, Claudette M. – Journal of Diversity in Higher Education, 2016
The research presented within this study focuses on the work of postsecondary institutional leaders, chief diversity officers (CDOs), who are change agents within the academy to address historical inequalities in education. Applying the Inclusive Excellence Change Model as the theoretical framework to guide this Q Method study, the researchers…
Descriptors: Q Methodology, College Administration, Administrators, Diversity (Institutional)
Yeung, Fanny P.; Johnston, Marc P. – Journal of Diversity in Higher Education, 2014
This study explored the influences of a racially biased incident targeting Asian students at a compositionally diverse public research institution on the U.S. West coast after an unplanned incident that occurred during data collection of the Diverse Learning Environments survey. This occurrence created a unique opportunity to explore how 2 cohorts…
Descriptors: Asian American Students, Racial Bias, Research Universities, Data Collection

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