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TEACHING Exceptional Children, 2014
Evidence-based practices (EBPs) are supported as generally effective for populations of learners by bodies of high-quality and experimental research and, when aligned with stakeholder values and practical needs, should be prioritized for implementation. However, evidence-based practices are not currently available for all learner types in all…
Descriptors: Special Education, Evidence, Best Practices, Educational Research
Educational Management Services, Inc., Minneapolis, Minn. – 1979
A study was conducted to develop a comprehensive program costing model for vocational education. This model produced a comparison between the cost of operating a given vocational program and the average aggregate cost of operating all basic education programs. The model is applicable for both the secondary and postsecondary level programs and can…
Descriptors: Data Collection, Disabilities, Methods, Models
Peer reviewedLeVan, Richard R. – Topics in Early Childhood Special Education, 1990
The article proposes a strategy for the assessment of young children with handicaps in which brief clinical sampling is used to document developmental skills. This information may then be used in designing intervention programs. Principles and techniques of brief clinical sampling are described and application examples are given. (Author/DB)
Descriptors: Behavior Patterns, Case Studies, Child Development, Clinical Diagnosis
Peer reviewedBrewer, James K.; Sindelar, Paul T. – Journal of Special Education, 1988
From a priori and post hoc data collection perspectives, this paper describes the interrelations among (1) power, alpha, effect size, and sample size for hypothesis testing; and (2) precision, confidence, and sample size for interval estimation. Implications for special education researchers working with convenient samples of fixed size are…
Descriptors: Data Collection, Disabilities, Educational Research, Effect Size
Haertel, Edward H. – National Assessment Governing Board, 2003
The paper initially describes the sources of uncertainty in National Assessment of Educational Progress (NAEP) data and standard errors. As NAEP sample sizes have increased, greater precision has been attained by the program. For this reason, exclusion effects are increasingly important. Two scenarios of revised NAEP results are presented (for New…
Descriptors: Error of Measurement, Computation, Disabilities, Limited English Speaking

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