<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>Using a Text-as-Data Approach to Understand Reform Processes: A Deep Exploration of School Improvement Strategies</mods:title></mods:titleInfo><mods:name><mods:namePart>Min Sun</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:name><mods:namePart>Jing Liu</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:name><mods:namePart>Junmeng Zhu</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:name><mods:namePart>Zachary LeClair</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>Text as data</mods:topic></mods:subject><mods:subject><mods:topic>School improvement</mods:topic></mods:subject><mods:subject><mods:topic>Reform processes</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>Program and policy effects</mods:topic></mods:subject><mods:subject authority="edworkp"><mods:topic>Standards, accountability, assessment, and curriculum</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>Although program evaluations using rigorous quasi-experimental or experimental designs can inform decisions about whether to continue or terminate a given program, they often have limited ability to reveal the mechanisms by which complex interventions achieve their effects. To illuminate these mechanisms, this paper analyzes novel text data from thousands of school improvement planning and implementation reports from Washington State, deploying computer-assisted techniques to extract measures of school improvement processes. Our analysis identified 15 coherent reform strategies that varied greatly across schools and over time. The prevalence of identified reform strategies was largely consistent with school leaders’ own perceptions of reform priorities via interviews. Several reform strategies measures were significantly associated with reductions in student chronic absenteeism and improvements in student achievement. We lastly discuss the opportunities and pitfalls of using novel text data to study reform processes.</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">10.26300/8gjy-6r75</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>