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Sandra Jo Wilson; Brian Freeman; E. C. Hedberg – Grantee Submission, 2024
As reporting of effect sizes in evaluation studies has proliferated, researchers and consumers of research need tools for interpreting or benchmarking the magnitude of those effect sizes that are relevant to the intervention, target population, and outcome measure being considered. Similarly, researchers planning education studies with social and…
Descriptors: Benchmarking, Effect Size, Meta Analysis, Statistical Analysis
Deke, John; Finucane, Mariel; Thal, Daniel – National Center for Education Evaluation and Regional Assistance, 2022
BASIE is a framework for interpreting impact estimates from evaluations. It is an alternative to null hypothesis significance testing. This guide walks researchers through the key steps of applying BASIE, including selecting prior evidence, reporting impact estimates, interpreting impact estimates, and conducting sensitivity analyses. The guide…
Descriptors: Bayesian Statistics, Educational Research, Data Interpretation, Hypothesis Testing

Parker, Randall M. – Journal of Learning Disabilities, 1990
The article examines the concepts of power and control in research design and applies them to a review of the validity of three studies (EC 600 064-066) evaluating the effectiveness of using Irlen tinted lenses with reading-disabled persons. Internal validity, external validity, statistical conclusion validity, and construct validity are…
Descriptors: Color, Data Interpretation, Elementary Secondary Education, Evaluation Research

Strain, Phillip S.; Dunst, Carl J. – Exceptional Children, 1986
In the context of a discussion of the use of meta-analysis techniques, two articles take issue with the findings of Casto and Mastropieri concerning effects of early intervention, in particular age-at-start parent involvement, conceptual and methodological problems. The authors of the original article provide rebuttals to the critiques. (JW)
Descriptors: Data Interpretation, Disabilities, Early Childhood Education, Exceptional Child Research