So sánh phương pháp

	What Works Clearinghouse Standards	Effect Size in Education Research
Lĩnh vực	Education	Education
Họ	Process / pipeline	Process / pipeline
Năm ra đời	2022	1988
Người khởi xướng	Institute of Education Sciences (IES), U.S. Department of Education	Statistical methodology (Cohen; Glass; Hedges & Olkin) applied in education
Loại	Standards and procedures for assessing the causal credibility of education studies	Standardized index of the magnitude of an effect or difference
Công trình gốc	What Works Clearinghouse. (2022). What Works Clearinghouse Procedures and Standards Handbook, Version 5.0. Institute of Education Sciences, U.S. Department of Education.	Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. ISBN: 9780805802832
Tên gọi khác	WWC Standards, WWC Evidence Standards, What Works Clearinghouse Review, WWC Study Rating	Educational Effect Size, Standardized Mean Difference in Education, Hedges' g in Education, Effect Size Reporting
Liên quan	3	2
Tóm tắt	The What Works Clearinghouse (WWC) standards are the protocol the U.S. Institute of Education Sciences uses to judge how much confidence an education study's findings deserve as causal evidence. They specify which designs can support causal claims, how to screen for threats such as attrition and confounding, and how to rate each study — Meets Standards Without Reservations, With Reservations, or Does Not Meet Standards — before synthesizing the body of evidence. The standards are a cornerstone of evidence-based education policy in the United States.	An effect size is a standardized, scale-free measure of the magnitude of a difference or relationship — how big an effect is, not just whether it is statistically significant. In education research it is the common currency for reporting intervention impacts and for combining studies in meta-analysis, with the standardized mean difference (Cohen's d, or its bias-corrected form Hedges' g) the most familiar. Effect sizes let researchers compare effects across studies, outcomes, and scales, and translate statistical results into terms practitioners can weigh.