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Gitomer, Drew H.; Qi, Yi – Office of Planning, Evaluation and Policy Development, US Department of Education, 2010
This study concerns the "highly qualified teacher" provisions of the "Elementary and Secondary Education Act" ("ESEA," 2002), as reauthorized, and other policies at the federal, state and local levels, which have aimed to elevate the content knowledge of teachers. This examination of "Praxis II" score trends…
Descriptors: Test Use, Elementary Secondary Education, Academic Achievement, Mathematics Tests
Salpeter, Judy – Technology & Learning, 2004
For some districts, the current obsession with data grows out of the need to comply with No Child Left Behind and additional accountability-related mandates. For others, it dates way back before the phrase "data-driven decision making" rolled so frequently off the tongues of educators. In either case, there is no denying that an integral…
Descriptors: Testing, Test Use, Evaluation Utilization, Data Analysis
Peer reviewedHanson, Marjorie; And Others – Educational Administration Quarterly, 1986
Identifies situations in which there is disparity between coefficients calculated from aggregate versus individual level data. Determines the magnitudes of these discrepancies, and discusses the implications for test score reporting and policy decisions based in whole or in part on the aggregate level relationships and discrepancies identified.…
Descriptors: Academic Achievement, Data Analysis, Data Collection, Data Interpretation
Northwest Regional Educational Lab., Portland, OR. – 1995
This manual contains information about the contents of a database that provides information about efforts to match changing goals for student achievement to ideas about instruction. The database, available on disk, contains descriptive information on alternative assessments in science and mathematics. The database uses a broad definition of…
Descriptors: Academic Achievement, Alternative Assessment, Computer Software, Constructed Response
Peer reviewedPopham, W. James – Educational Leadership, 2003
Discusses which kinds of data educators should respect and which they should reject. Asserts that most state accountability tests fail to produce the kinds of data that will improve teaching and learning. Teachers can get the data they need from their own instructionally useful classroom assessments. (WFA)
Descriptors: Academic Achievement, Accountability, Data Analysis, Data Collection
Glaser, Robert; Linn, Robert; Bohrnstedt, George – 1997
This is the final report of the National Academy of Education's Panel on the Evaluation of the National Assessment of Education (NAEP) Progress Trial State Assessment. In this report, the Panel considers philosophical, technical, and policy issues concerning the NAEP in the immediate future and in the long term. The high technical quality of the…
Descriptors: Academic Achievement, Data Analysis, Data Collection, Educational Assessment
Donovan, Jenny; Hutton, Penny; Lennon, Melissa; O'Connor, Gayl; Morrissey, Noni – Ministerial Council on Education, Employment, Training and Youth Affairs (NJ1), 2008
In July 2001, the Ministerial Council on Education, Employment, Training and Youth Affairs (MCEETYA) agreed to the development of assessment instruments and key performance measures for reporting on student skills, knowledge and understandings in primary science. It directed the newly established Performance Measurement and Reporting Taskforce…
Descriptors: Foreign Countries, Scientific Literacy, Media Literacy, Scientific Concepts

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