While evaluation and data-driven decision-making both involve the use of data to make decisions, an additional component of data-driven decision-making is that it:

Question

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Evaluation is typically done after programs or activities have been implemented, while data-driven decision-making can occur both in the planning and implementation stages. Using data to inform decisions during planning can lead to more effective programs and activities being implemented. Option A refers to the concept of generalizability in research, but this is not specific to data-driven decision-making. Option B refers to the importance of replicating research findings, but again this is not specific to data-driven decision-making. Option C refers specifically to randomized controlled trials, but not all data-driven decision-making involves random assignment.

While Evaluation and Data-Driven Decision-Making Both Involve the Use of Data