A Multi-State District-Level Cluster randomized Trial of the Impact of Data-Driven Reform on Reading and Mathematics Achievement
The study analyzed mathematics and reading achievement outcomes from a district-level random assignment study fielded in over 500 schools within 59 school districts and seven states. The treatment was a data driven reform initiative implemented by Johns Hopkins Center for Data-Driven Reform in Education (CDDRE), which involved CDDRE consultants working with districts to implement quarterly student benchmark assessments and provide district and school leaders with extensive training on interpreting and using the data to guide reform. Treatment districts showed statistically significant improvement in mathematics achievement relative to business as usual control districts. Trends were positive in reading, but were not statistically significant.