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Sadler, D. Royce – Educational Evaluation and Policy Analysis, 1981
Potential sources of bias are classified as ethical compromises, value inertias, or cognitive limitations. Thirteen specifics of intuitive thinking and judgmental processes are described. The author wishes to alert naturalistic evaluators to common failings. This list can be a useful checklist in reducing, integrating and drawing inferences from…
Descriptors: Bias, Cognitive Processes, Data Analysis, Data Collection
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Rosenthal, Alan; Fuhrman, Susan – Educational Evaluation and Policy Analysis, 1981
Legislative staffing is briefly reviewed. In dealing with legislative education staffing specifically, the authors describe and analyze significant characteristics of legislators and staff populations, and specify legislative education leadership structures in the 50 states. The impact of such staffing is discussed. (Author/AL)
Descriptors: Educational Policy, Personnel Data, Professional Personnel, Profiles
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St. Pierre, Robert G. – Educational Evaluation and Policy Analysis, 1979
A model is described which illustrates two general uses of multiple analyses to evaluate quasi-experiments: obtaining estimates of the treatment effect, and checking the validity of the experiment. (MH)
Descriptors: Data Analysis, Evaluation Methods, Literature Reviews, Models
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Doyle, William R. – Educational Evaluation and Policy Analysis, 2006
As of 2005, 15 states had adopted a broad-based merit aid program, providing a combined $1.2 billion for college students on the basis of academic qualifications. This represents a shift away from a long tradition of need-based aid at the state and federal levels. This article utilizes a Cox proportional hazards model to analyze states'…
Descriptors: Academic Achievement, Qualifications, Probability, Grants
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Koretz, Daniel – Educational Evaluation and Policy Analysis, 1995
Studies of the mathematics assessments of the National Assessment of Educational Progress (NAEP) are summarized. One study found that omit rates for NAEP test items were higher for African Americans and Hispanics than for whites. The other found that descriptions and examples for the 1992 mathematics achievement levels were misleading. (SLD)
Descriptors: Black Students, Data Collection, Elementary Secondary Education, Hispanic Americans