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Data, Decisions, and Telling YOUR Story

Learn various methods of data collection, understanding ways to use data for decision making, and the importance of sharing your story through data. Case study based on University of North Texas.

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Data, Decisions, and Telling YOUR Story

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  1. Data,Decisions,and Telling YOUR Story Lindsey K. Fields, M.S., M.Ed., LPC Assistant Director for Residence Life

  2. Goals of this session • Understand various data collection methods and processes • Better understand ways to use data to impact decision making • Learn the importance of sharing YOUR story as data drive decisions within your department

  3. University of North Texas • Just under 38,000 total enrollment • 14 Residence Halls • Approximately 6,300 residents living on-campus • 180 Resident Life Advisor Student Staff • Resident Assistant • Housing Ambassadors • Facilities Assistants • 24 Hall Director Staff • Hall Director, Assistant Hall Director, Graduate Assistant

  4. UNT On-Campus Population

  5. On-Campus Students Ethnicity

  6. Where do you go at your Institution for data?

  7. Assessment can be • Boring • Overwhelming • Intimidating • Time-Consuming

  8. Survey Cycle 1 3 2 Survey Students Take Action Review Results

  9. Step 1 = Survey Students • Quality of Life – • Qualtrics, • October 2nd-23rd, • 4 email reminders, • no student incentive, • option to be anonymous • ACUHO-I Residential Assessment • Qualtrics – led to EBI portal, • April 14-May 15, • one email invite, • no student incentive, • anonymous

  10. ACUHO-I Residential Assessment • Administered in Spring 2015 and Spring 2016 • Measures residents perception of their satisfaction and learning • Allows UNT to “select 6” schools to compare results to, as well as compares us to our Carnegie Classification and all institutions that participate in the survey that year • Spring 2015, N = 575 • Spring 2016, N = 617

  11. Step 2 = Review Results • Results shared with: • Central Housing Staff, • Hall Director Staff, • student staff, • and students • Student Portraits Symposium • Executive Summary to VP for Student Affairs

  12. Factor Analysis allows researchers to investigate concepts that are not easily measured directly by collapsing a large number of variables into a few interpretable underlying factors. What is a Factor Analysis?

  13. Factor analysis helps us determine where we should invest our

  14. Crucial Elements

  15. Crucial Elements

  16. ACUHO-I High Impact Factors 2015 2016

  17. ACUHO-I High Impact Factors on Overall Satisfaction 2015 2016

  18. High Impact Factors for Overall Satisfaction

  19. ACUHO-I High Impact Factors on Overall Learning 2015 2016

  20. High Impact Factors for Overall Learning

  21. Quality of Life Survey • Administered October 2015 • Measures satisfaction with areas of their residential living experience • Broken down by hall • Administered to 6,170 residents (N) • 1,542 surveys were initiated • n = 1,286 completed (24.99% response rate!)

  22. Overall Satisfaction:Multiple Areas – All Halls Resident Assistants Front Desk Staff Hall Director Staff Programming 1 = Strongly Disagree 3 = Neutral/Neither 5 = Strongly Agree

  23. Hall Director and Personal Interaction Items & Means

  24. Resident Assistant and Personal Interaction Items & Means

  25. In statistics, the correlation coefficient r measures the strength and direction of a linear relationship between two variables on a scatterplot.The value of r is always between +1 and –1. To interpret its value, see which of the following values your correlation r is closest to:0.  No linear relationship+0.30.  A weak uphill (positive) linear relationship+0.50.  A moderate uphill (positive) relationship+0.70.  A strong uphill (positive) linear relationshipExactly +1. A perfect uphill (positive) linear relationship What is a correlation?

  26. RLAs and Hall GPAs .39 correlation Weak positive relationship

  27. Hall Director and Personal Interaction Items & Correlation with Sense of Feeling a Part of a Residence Hall Community

  28. Resident Assistant and Personal Interaction Items & Correlation with Sense of Community

  29. Correlation Let’s look at a scatter plot when it comes to the Correlation with Resident’s sense of belonging to a community and the Average RA score in response to “my RA helps connect me with others.” STRONG CORRELATION of .927 These two items have a STRONG RELATIONSHIP

  30. Step 3 = Take Action What have we done so far? What do we have left to do?

  31. Steps Our Department Has TakenBased on Quality of Life Survey • All Hall Directors had: • Read student comments/concerns • Addressed concerns in-hall • Central Housing Staff & Dining have: • Read all hall averages • Addressed immediate concerns within halls • Begun steps for improvements

  32. Conclusions Drawn • Residents are least satisfied in the area of Hall Director non-disciplinary interactions, and it correlates to their sense of community. • Residents are least satisfied in the area of Resident Assistants helping them connect with other people in the hall, and it correlates to their sense of community. • Our Residents need help in the areas of Personal Interactions and Self-Management as these are High Impact Factors contributing to Overall Learning.

  33. Steps Our Department Has Taken Based on ACUHO-I Residential Assessment • Implement Student Success Meetings • Goal: to have every Hall Director will meet with every FTIC and New Undergraduate Transfer student during the Fall 2016 semester • Guided discussions related to self-management and personal interactions • Community Development Model Changed • From heavy programmatic model to B.A.S.I.C. 2.0 Community Development model based on personal interactions between RA and Resident

  34. How did I walk you through our Story? • Started with descriptive information of our population • Walked you through two survey results • Taught you about Factor Analysis and Correlations • Walked you through how conclusions were drawn • Connected how results/conclusions are being used in the department

  35. Why Storytelling? • Engage your audiences • Connect assessment to their existing knowledge • Provide a structure we can all relate to • Provide charts and ask for descriptive examples (qualitative)

  36. What questions do you have? I challenge you to revisit your assessments: • Does each question have a purpose? • Do you have a plan to reach enough of a representative sample? • Do you need to compare your results to other institutions? • Who needs to know this information and what will THEY do with the results? • Are you telling YOUR story to enough people? Lindsey.Fields @unt.edu Assistant Director for Residence Life

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