Exploratory Data Analysis in Schools: A Logic Model to Guide Implementation





leadesrhip, data, data analysis, decision making, data use, data-driven decision-making


Exploratory data analysis (EDA) is an iterative, open-ended data analysis procedure that allows practitioners to examine data without pre-conceived notions to advise improvement processes and make informed decisions. Education is a data-rich field that is primed for a transition into a deeper, more purposeful use of data. This article introduces the concept of EDA as a necessary structure to be embedded in school activities by situating it within the literature related to data-driven decision making, continuous school improvement systems, and action research methodologies. It also provides a succinct six-part framework to guide practitioners in establishing EDA procedures.

Author Biography

Matthew B. Courtney, Kentucky Department of Education

Matthew B. Courtney, Ed.D. is a Policy Advisor at the Kentucky Department of Education.




How to Cite

Courtney, M. B. (2021). Exploratory Data Analysis in Schools: A Logic Model to Guide Implementation. International Journal of Education Policy and Leadership, 17(4), 14 pp. https://doi.org/10.22230/ijepl.2021v17n4a1041