Data-driven decision making involves using information to inform decisions and enact change. Although seemingly simple, the process involves determining pertinent data, collecting and analyzing data, discussing results and drawing conclusions, enacting change, and monitoring progress. This process is often depicted as a cycle of continuous improvement. This entry describes the information used in data-driven decision making, the data-driven decision-making cycle, and the elements that must be in place for the process to be effective.
In educational evaluation, data can include any information about the student, classroom, school, or community that can be gathered, reviewed, and analyzed. Quantitative data might include student assessments administered to an individual, class, or grade as well as indicators such as attendance, office disciplinary referrals, or graduation rates. Quantitative data can be ...
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