@article{Courtney_2021, title={Exploratory Data Analysis in Schools: A Logic Model to Guide Implementation}, volume={17}, url={https://journals.sfu.ca/ijepl/index.php/ijepl/article/view/1041}, DOI={10.22230/ijepl.2021v17n4a1041}, abstractNote={<p class="ScholaryNormal">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.</p>}, number={4}, journal={International Journal of Education Policy and Leadership}, author={Courtney, Matthew B.}, year={2021}, month={May}, pages={14 pp} }