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Rowan, Anna Habash; Hall, Daria; Haycock, Kati – Education Trust, 2010
Leaders in schools, districts, and states, along with policymakers in Washington, D.C., are focusing new energy on closing long-standing gaps in performance that separate low-income students and students of color from others. It's critically important that their efforts succeed--for students, their families, their communities, and for their…
Descriptors: Elementary Secondary Education, Academic Achievement, National Competency Tests, True Scores
Peer reviewed Peer reviewed
Ysseldyke, Jim; Bielinski, John – Exceptional Children, 2002
A study compared the effects of different methods of analyzing trends to illustrate how failure to account for change in classification will lead to misinterpretation of data on the performance of students with disabilities. Data from five years of assessment in Texas is used to illustrate effects of classification changes. (Contains references.)…
Descriptors: Academic Achievement, Accountability, Classification, Data Collection
McNeil, Keith; Blanchard, Charles – 1990
Evaluators usually assume that the data they receive are valid, or at least, that the data reflect that which is being evaluated. In a recent evaluation in a large southern school district, evaluators compared their raw interview notes with interview notes edited by the teachers interviewed or project staff. The program evaluated was Project SEED,…
Descriptors: Bias, Data Collection, Data Interpretation, Elementary Secondary Education
Burstein, Leigh; And Others – 1995
This report summarizes results from research aimed at improving the quality of information collected about school curriculum. The research sought to design and pilot a model for collecting benchmark data on school coursework. These more indepth data, such as course textbooks, assignments, exams, and teacher logs, can serve as anchors against which…
Descriptors: Data Collection, Data Interpretation, Educational Indicators, Elementary Secondary Education