<mods:mods xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-7.xsd"><mods:titleInfo><mods:title>Interpreting Effect Sizes of Education Interventions</mods:title></mods:titleInfo><mods:name><mods:namePart>Matthew Kraft</mods:namePart><mods:role><mods:roleTerm authority="marcrelator" authorityURI="http://id.loc.gov/vocabulary/relators" valueURI="http://id.loc.gov/vocabulary/relators/aut">author</mods:roleTerm></mods:role></mods:name><mods:subject><mods:topic>Education Policy</mods:topic></mods:subject><mods:subject><mods:topic>Effect Sizes</mods:topic></mods:subject><mods:subject><mods:topic>Interpretation</mods:topic></mods:subject><mods:subject><mods:topic>Benchmarks</mods:topic></mods:subject><mods:subject><mods:topic>Causal Effects</mods:topic></mods:subject><mods:subject authority="edworkp"><mods:topic>K-12 Education</mods:topic></mods:subject><mods:subject authority="edworkp"><mods:topic>Methodology, measurement and data</mods:topic></mods:subject><mods:subject authority="edworkp"><mods:topic>Multiple outcomes of education</mods:topic></mods:subject><mods:subject authority="edworkp"><mods:topic>Program and policy effects</mods:topic></mods:subject><mods:originInfo><mods:dateCreated>2019</mods:dateCreated><mods:publisher>Annenberg Institute for School Reform at Brown University</mods:publisher></mods:originInfo><mods:abstract>Researchers commonly interpret effect sizes by applying benchmarks proposed by Cohen over a half century ago. However, effects that are small by Cohen’s standards are large relative to the impacts of most field-based interventions. These benchmarks also fail to consider important differences in study features, program costs, and scalability. In this paper, I present five broad guidelines for interpreting effect sizes that are applicable across the social sciences. I then propose a more structured schema with new empirical benchmarks for interpreting a specific class of studies: causal research on education interventions with standardized achievement outcomes. Together, these tools provide a practical approach for incorporating study features, cost, and scalability into the process of interpreting the policy importance of effect sizes. </mods:abstract><mods:language><mods:languageTerm authority="iso639-2b" type="code">eng</mods:languageTerm></mods:language><mods:typeOfResource>text</mods:typeOfResource><mods:genre authority="aat">grey literature</mods:genre><mods:relatedItem type="series"><mods:titleInfo><mods:title>edworkingpapers.com</mods:title></mods:titleInfo></mods:relatedItem><mods:relatedItem><mods:identifier type="DOI">10.26300/8pjp-2z74</mods:identifier></mods:relatedItem><mods:accessCondition type="use and reproduction" xlink:href="http://rightsstatements.org/vocab/InC/1.0/">In Copyright</mods:accessCondition></mods:mods>