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EIA: Using data for program improvement

E vidence I nference A ction. EIA: Using data for program improvement. Evidence. Evidence refers to the numbers, such as: “45% of children in category b” The numbers are not debatable. Inference. How do you interpret the #s? What can you conclude from the #s?

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EIA: Using data for program improvement

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  1. Evidence Inference Action EIA: Using data for program improvement Early Childhood Outcomes Center

  2. Evidence Evidence refers to the numbers, such as: “45% of children in category b” The numbers are not debatable Early Childhood Outcomes Center

  3. Inference How do you interpret the #s? What can you conclude from the #s? Does evidence mean good news? Bad news? News we can’t interpret? To reach an inference, sometimes we analyze data in other ways (ask for more evidence) Early Childhood Outcomes Center

  4. Inference Inference is debatable- even reasonable people can reach different conclusions from the same set of numbers • Stakeholder involvement can be helpful in making sense of the evidence Early Childhood Outcomes Center

  5. Action Given the inference from the numbers, what should be done? Recommendations or action steps Action can be debatable – and often is Another role for stakeholders Early Childhood Outcomes Center

  6. Program improvement: Where and how At the state level- TA, policy At the regional or local level- supervision, guidance Classroom level- spend more time on certain aspects of the curriculum Child level- modify intervention Early Childhood Outcomes Center

  7. Key points Evidencerefers to the numbers and the numbers by themselves are meaningless. Inferenceis attached by those who read (interpret) the numbers. Early Childhood Outcomes Center

  8. E – I – A Jeopardy $100 $100 $100 $200 $200 $200 $300 $300 $300

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