An Empirical Examination of the Effects of Data-Informed Decision Making Using a National Data Set

• In Event: 68.060 - Roundtable Session 29
  In Roundtable Session: 68.060-3 - CANCELLED. School Organization and Effects: Data Use in Schools and Districts

Abstract

Data played a vital role in U.S. Education. In this proposal, we empirically examined whether school performance was attributable to data-informed decision-making (DIDM) at the district, school, and classroom levels. By applying two-level hierarchical linear models to nationally representative data, we found only one school level DIDM area – “using performance report to evaluate student progress” – could increase the odds of school passing all state and district standards. The findings from this proposal could be extended by introducing more sophisticated modelings on intra-class interactions.

Authors

• Xingyuan Gao, Western Michigan University

• Jianping Shen, Western Michigan University

• Jiangang Xia, University of Nebraska - Lincoln