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Download full textvon Zastrow, Claus; Roberts, Maxine T.; Squires, John – Education Commission of the States, 2021
State education data systems help policymakers use data to evaluate the impact of their efforts to improve education. By disaggregating the data -- that is, breaking it out by different student subgroups -- policymakers can ensure that their efforts address the needs of students who have been traditionally underserved in educational settings. Yet…
Descriptors: Data Analysis, Student Characteristics, Data Collection, Barriers
Peer reviewed
Direct linkHall, Jori N.; Ryan, Katherine E. – Qualitative Inquiry, 2011
This article discusses the importance of mixed-methods research, in particular the value of qualitatively driven mixed-methods research for quantitatively driven domains like educational accountability. The article demonstrates the merits of qualitative thinking by describing a mixed-methods study that focuses on a middle school's system of…
Descriptors: Methods Research, Evaluation Methods, Accountability, Case Studies
McDonald, Sarah-Kathryn; Andal, Jolynne; Brown, Kevin; Schneider, Barbara – Regional Educational Laboratory Midwest, 2007
Educational improvement through data-based decision-making using high-quality data is a longstanding goal of policymakers and practitioners, and ensuring the quality of the evidence available to inform such decisions is a key part of the No Child Left Behind Act of 2001. The evidence-based education that such initiatives promote involves the…
Descriptors: Educational Resources, Information Needs, Information Systems, Politics of Education
