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A Sea of Data: Sharing Data Across Campus

A Sea of Data: Sharing Data Across Campus. Bethany Miller Cornell College Ruth Vater & Ellenor Anderbyrne Beloit College. 2018 AIRUM Best Presentation. Aim of this Presentation. You will go home with at least one idea that you can use. Seriously… that’s it. Motivation.

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A Sea of Data: Sharing Data Across Campus

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  1. A Sea of Data: Sharing Data Across Campus Bethany Miller Cornell College Ruth Vater & Ellenor Anderbyrne Beloit College 2018 AIRUM Best Presentation

  2. Aim of this Presentation • You will go home with at least one idea that you can use. • Seriously… that’s it.

  3. Motivation • Most of us collect way more data than we know what to do with • Student survey data • HEDS or ACM data comparing with other schools • IPEDS, NACUBO, US News, and more! • Data is usually NOT the scarce resource • The scarce resource is time, creative ideas, or skills...

  4. Lightning Rounds! • “Survey says” mini posters • Visualizing change over time • Brown Bags with Bethany • Bring the questionnaire, not the results • Wine, Cheese, & Data • Lighthouse report • Net promoter score

  5. “Survey Says” Mini Posters

  6. Visualizing Change Over Time

  7. Change in Students’ Political Views Students at start of freshman year Students at end of freshman year

  8. Do You Have Data Like This? • Anything that measures the same students in similar categorical ways at two points in time • Start of year and end of year • Start of freshman year and end of senior year • Examples: • Political views at start of college and end of college • Major at graduation compared with industry of first job • High school GPA to college GPA (bins)

  9. Ways to Make Sankey Diagrams • Hard ways • Tableau • R (e.g. Riverplot package) • Google viz • An easy way • http://sankeymatic.com/build/

  10. http://sankeymatic.com/build/

  11. Why do I Like the Easy Way? • They provide a template. You paste in values. • No coding is required. • You have some flexibility about layout, colors, etc. http://sankeymatic.com/build/

  12. Brown Bags with Bethany

  13. Brown Bags with Bethany • New approach to data sharing and coaching • 2 to 3 times a semester (ideally) • Share readily available data (enrollment, retention, etc) • Coach others on campus how to use available tools (IPEDS data center, institutional research website)

  14. Bring the Questionnaire, Not the Results

  15. National Student Surveys Create Huge Amounts of Data • Deciding what results to share can be overwhelming! • Too many items to digest results • Even more complicated if the results are obviously good or bad • Do they want good news?

  16. Solution: Let Stakeholders Pick From the Questionnaire • Pass out printed copies of the instrument and a highlighter • Say, “Which items are important to you?” • When the data comes back, give them just what is important to them

  17. Optional Add-ons • Pick the 5 items that matter most to you • For each item, write down why it matters to you. • For each item, guess what percentage of students gave a positive answer. Write down what you will do if the results are more positive than you expect and if they are more negative. • Commit to what you will share publicly, regardless of results. For example: write public release, without numbers, before the data comes back.

  18. Wine, Cheese, & Data

  19. Lighthouse Reports AKA: Satisfy folks who can’t wait to learn the retention rate

  20. Predicting the Future • It’s also tough to get asked every week if it’s getting worse or better.

  21. Solution: Pick a Few “Lighthouses” to Guide the Way • “Lighthouses” are places where you can measure enrollment (or proxies) throughout the year and compare with previous years. • All the “captains” know where the “lighthouses” are • Example lighthouses: • Number of students pre-registered for next semester • Number of students dismissed/suspended • Number of students picking housing for next year • Number of students requesting transcripts to transfer

  22. Net Promoter Score AKA: Translating very specific survey data into a useful marketing metric

  23. How Strong Is Your Reputation? How Does It Change Over Time? • How can you measure it with data you already have? • How can you convey it in ways that others understand?

  24. Source: https://www.netpromoter.com/know/

  25. Data Likely Available • NSSE Question: “If you could start over again, would you go to the same institution you are now attending?” • Definitely yes • Probably yes • Probably no • Definitely no • CIRP Your First College Year and College Senior Survey: “If asked, I would recommend this college to others.” • Strongly Agree • Agree • Disagree • Strongly Disagree

  26. Students invited to participate in NSSE Definitely no Probably no Did not respond Probably yes Definitely yes 50% 50% Students from cohort not invited because no longer enrolled Response unknown

  27. Beloit College’s Net Promoter Score National Survey of Student Engagement

  28. Ruth Vater608.363.2606vaterr@beloit.edu Bethany L. Miller, Ph.D. 319.895.4818 bmiller@cornellcollege.edu

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