Work

Using a Text-as-Data Approach to Understand Reform Processes: A Deep Exploration of School Improvement Strategies

Year: 2019

Type: article

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 article 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 strategy measures were significantly associated with reductions in student chronic absenteeism and improvements in student achievement. We finally discuss the opportunities and pitfalls of using novel text data to study reform processes.

Source: Educational Evaluation and Policy Analysis

DOI: 10.3102/0162373719869318

Authors: Min Sun, Jing Liu, Junmeng Zhu, Zachary LeClair

Institutions: University of Washington, Brown University

Language: English

Topic: Educational Assessment and Improvement

Subfield: Information Systems and Management

Field: Decision Sciences

Domain: Social Sciences

SDG: Quality education

Open Access status: green

Funder: Spencer Foundation