In this episode of the EduData Podcast, hosts Jamie and Timothy dive head-first into the critical distinction between correlation and causation within higher education research. They revisit last week's discussion on ROI in higher and lower-income serving institutions and expand the conversation to explore how studies often grapple with the challenge of proving cause and effect. Jamie and Timothy offer insightful examples, such as the seemingly bizarre correlations between ice cream sales and shark attacks, to illustrate the complexities and limitations of observational research. They emphasize the importance of critical thinking and the cautious interpretation of study results. Tune in to understand why correlation does not imply causation and how to navigate the nuances of educational data research.

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Connect With Our Co-Hosts:
Jamie Boggs
https://www.linkedin.com/in/jamiewboggs/

Timothy Davis
https://www.linkedin.com/in/davis-timothy/

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