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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 reviewed Peer reviewed
Hanson, 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
Peer reviewed Peer reviewed
Popham, 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
Harlen, Wynne – 1994
This paper gives an overview of the methods of moderation, or quality assurance and quality control, as they may be more widely known, that are used to enhance the quality of student assessment. The discussion is based on the educational systems of the United Kingdom but is applicable to assessment in other countries. Quality in assessment is seen…
Descriptors: Accreditation (Institutions), Criteria, Data Collection, Data Interpretation