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Theses/Dissertations

Disability and Equity in Education

Theses and Dissertations

Disproportionality

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A Critical Multiple Case Study Analysis Examining The Implementation Of The Every Student Succeeds Act (Essa) To Promote Positive School Climate, Weade W. James Jan 2020

A Critical Multiple Case Study Analysis Examining The Implementation Of The Every Student Succeeds Act (Essa) To Promote Positive School Climate, Weade W. James

Theses and Dissertations

This study explored the role of federal policy in improving school climate, and examined how federal policy, specifically the Every Student Succeeds Act (ESSA) is being implemented at the state-level to address school climate issues. A qualitative multiple-case study design with content analysis was used as the leading approach to understanding how states are implementing ESSA’s school climate measure for accountability. ESSA is the nation’s federal education law that was enacted in 2015 and replaced No Child Left Behind (NCLB). I compared states’ implementation of ESSA’s school climate and safety (SCS) measure, including how states are measuring SCS and whether …


An Intersectional Analysis Of Disproportionality Of Dual Language Learners In Special Education In Virginia: A Mixed Methods Study, Melissa J. Cuba Jan 2020

An Intersectional Analysis Of Disproportionality Of Dual Language Learners In Special Education In Virginia: A Mixed Methods Study, Melissa J. Cuba

Theses and Dissertations

The disproportionality of dual language learners (DLLs) in special education has been a persistent and complex issue for decades. These students have multidimensional identities that require a look at how they are positioned in school systems and the broader social landscape. Using a multilevel model of intersectionality and an explanatory mixed methods design, this study examines how social categories, practice, and policies influence the representation of DLLs in special education in Virginia, a state where DLLs represented 13 percent of the total student population in 2018-19. Findings from this study reveal overrepresentation and underrepresentation of 63 DLL subgroups using nuanced …