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A Simple Framework for Decision Making Using Data

Finding and interpreting relevant evidence can be a frustrating experience for many educators because objective, actionable, and timely evidence can be hard to find. Study results can also be challenging to interpret. What’s nearly always missing is the information practitioners need most—how likely it is that the program generates effects large enough to be worth the cost. This talk will address an alternative, Bayesian framework that can provide actionable results for decision making.

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Takeaways

  1. Attendees will be able to differentiate between a classical (Frequentist) framework and a Bayesian framework.
  2. Attendees will understand what steps they can take to easily use a Bayesian framework.
  3. Attendees will understand important considerations for critically thinking about evaluation results.

Speakers

Organizer

Ignacio Martinez, Researcher, Mathematica Policy Research

Meta Information:

  • Tags: data
  • Event: EDU
  • Format: Talk
  • Track: K-12 Education
  • Level: Basic Understanding
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