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Hoge, Robert D. – Educational Researcher, 1988
Questions the adequacy with which the giftedness construct is defined in applied educational settings, and the adequacy of the validation data available for these gifted identification procedures. (Author/BJV)
Descriptors: Academically Gifted, Classification, Construct Validity, Data Interpretation
Hunt, E. Stephen – 1993
The International Standard Classification of Education (ISCED) was developed by the United Nations Educational, Scientific, and Cultural Organization in the 1960s and 1970s to be the recognized international standard for reporting and interpreting education program data. Creating a U.S. crosswalk to this system has been a goal of research…
Descriptors: Academic Standards, Classification, Comparative Analysis, Data Interpretation

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

Lewit, Eugene M.; Baker, Linda Schuurmann – Future of Children, 1996
Examines data collected by the federal Office of Special Education Programs (OSEP) on the identification and classification of special education students. Analysis suggests that the OSEP count data, by themselves, do not indicate how many children have disabilities or what types of disabilities they have, and the data cannot by used to evaluate…
Descriptors: Classification, Comparative Analysis, Data Interpretation, Disability Identification

O'Reilly, Carolyn; And Others – School Psychology Review, 1989
A simulated report of a child referred either for learning disabilities or gifted placement consideration was reviewed by 40 practicing school psychologists. Results indicate that reason for referral resulted in significant levels of bias regarding assessment and recall of the report and classification of the student. (TJH)
Descriptors: Academically Gifted, Bias, Classification, Data Interpretation
Bank, Adrianne; Williams, Richard C. – 1985
This document is divided into two parts: the first presents a taxonomy of questions designed for a hypothetical computer database; the second describes the rationale for a question oriented approach to data. This taxonomy is described as a list of questions an educator might use to find out more about the achievement, attendance, and…
Descriptors: Academic Achievement, Attendance Records, Classification, Computer Oriented Programs
Holmes, Brian – Prospects: Quarterly Review of Education, 1985
Trends in comparative education are analyzed in terms of attempts to collect and classify data more systematically and in terms of the contribution comparative education can make to understanding educational change. The growth in comparative education literature and the work of some non-governmental agencies are also discussed. (RM)
Descriptors: Classification, Comparative Education, Data Collection, Data Interpretation