Assessing the Effects of a School-Wide Data-Based Decision-Making Intervention on Student Achievement Growth in Primary Schools. (April 2016)

• Record Type: Journal Article
• Authors: van Geel, Marieke; Keuning, Trynke; Visscher, Adrie J.; Fox, Jean-Paul
• Is Part Of: American educational research journal. Volume 53:Number 2(2016:Apr.)
• Page Start: 360
• Page End: 394
• Publication Date: 2016-04
• Subjects: data-based decision making -- student achievement -- intervention -- school improvement -- linear mixed model; Education -- United States -- Periodicals; Education -- Research -- United States -- Periodicals; 370.97305
• DOI: 10.3102/0002831216637346
• Languages: English
• ISSNs: 0002-8312

Abstract

Despite growing international interest in the use of data to improve education, few studies examining the effects on student achievement are yet available. In the present study, the effects of a two-year data-based decision-making intervention on student achievement growth were investigated. Fifty-three primary schools participated in the project, and student achievement data were collected over the two years before and two years during the intervention. Linear mixed models were used to analyze the differential effect of data use on student achievement. A positive mean intervention effect was estimated, with an average effect of approximately one extra month of schooling. Furthermore, the results suggest that the intervention especially significantly improved the performances of students in low socioeconomic status schools.