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Hartong, Sigrid; Piattoeva, Nelli – Critical Studies in Education, 2021
This paper contributes to a growing body of research on the increasing datafication of schooling, which has become a salient topic in comparative education and education policy research. Specifically, we address the rising scholarly concern about the meaning of (comparing) contexts as bounded localities facing an increasingly fluid and generative…
Descriptors: Data Analysis, Comparative Education, Educational Policy, Standardized Tests
Costello, Sandra; Weiss, David – 1984
This paper reports the results of a survey conducted in the spring of l981 that was designed to collect and summarize guidelines on appropriate test use from the various organizations, agencies, and associations involved in standardized educational testing. The primary objective of the study was to learn how these various groups define the issues…
Descriptors: Data Collection, Educational Testing, Evaluation Criteria, Scores
Robertson, Heather-Jane – Phi Delta Kappan, 2000
Fournier, coordinator of the School Achievement Indicators Program (SAIP), claims that score differences are associated with linguistic and gender differences. These results have long been substantiated. The expectation-setting process has little reliability or validity. SAIP does not help teachers, and should not determine what students learn.…
Descriptors: Data Collection, Data Interpretation, Elementary Secondary Education, Expectation
Peer reviewedHaertel, Edward – Educational Evaluation and Policy Analysis, 1986
The purposes of this paper are to analyze some problems in using student test scores to evaluate teachers and to propose an achievement-based model for teacher evaluation that is effective, affordable, fair, legally defensible, and politically acceptable. The system is designed for detecting and documenting poor teacher performance. (Auth/JAZ)
Descriptors: Academic Ability, Achievement Tests, Competence, Data Collection
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

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