1. Using Survey Data to Enhance Advising Practice
Aimee Kelly
Assistant Director of Academic Services
Joe Hannah
Academic Adviser
Integrated Social Sciences Program

2. Today we’ll talk about…
Why use survey data in advising?
Case Study – ISS
Considerations
Resources and Tips
Wrap-Up
Q & A / Discussion

3. Before we start, a bit about ISS…
100% online degree completion program
About 350 active students – expect to grow to 500+
“High Touch” advising model – lots of information on each student
Various data strategies
Completed our Three Year Review in Winter 2018

4. I. Why use survey data in advising?
Initial Rationale
New program (started AUT 2014)
“How do you know what you know?”
Initial rationale for collecting information
Three-Year FCAS Report
Direct student support
Learning about the ISS student population

5. I. Why use survey data in advising?
Anticipated and Added Benefits
Learn more about your advisees and alumni individually and as a population
Individual advising
Reporting and population-level advocacy
Outreach materials
Opportunities for curricular and programmatic assessment
Request, leverage, and distribute resources strategically

6. II. Case Study: ISS Catalyst WebQ (survey tool) Four surveys Year One:
1. Incoming Student Survey
Required in First Quarter for Incoming Students
2. End of the Year Survey
Optional, Administered at end of Spring Quarter
On-Going (TBD):
3. Student Support Survey (Withdrawn Students)
After Graduation:
4. Alumni Survey

7. II. Case Study: ISS Examples of Outcomes
Resources for advising individual students
Three-Year FCAS Report
At-a-Glance Information Sheets
Example of PG

8. II. Case Study: ISS Individual Student Advising
“I am a gay second generation Filipino American”
“I hope that thru completing this program I can get the skills needed to pursue a job helping people and minority groups that I am a part of.”
“Outside of a few quarters here and there, I feel like I've been an underachieving student...I'm hoping I won't screw this up.”

9. II. Case Study: ISS
Three-Year FCAS Report

10. II. Case Study: ISS At-a-Glance Sheets
Ex. What Makes ISS Students Unique?
Educated course resource planning
Outreach to non-ISS course instructors
Financial aid advocacy
Prospective student outreach materials

11. III. Considerations Survey planning stage What do you want to know?
Is this data available via BI Portal, EDW, or other resources?
Audience?
Survey frequency/timing?
“Survey fatigue”
Aligning multiple surveys
What do you need the data for?
What is the final product that you want to create? Who is your audience?

12. III. Considerations Planning stage What skills do you have/want/need?
Resources available?
Who will create the survey, analyze the results, and report the findings?
Timelines
Creating and conducting survey
Analyzing and producing results

13. III. Considerations Example Data Plan Audience for final product
Research question / Information needed
Sources for that information
Student database/ Institutional data
Student surveys
Advisers’ notes
Specific products needed
Reports
Data sheets
Presentation slides
Student management tools

14. III. Considerations Survey Drafting Create a list of survey questions!
Test/get feedback
Evaluate how question/answer structure impacts ease of analysis
Consider whether you will want compare results over time

15. III. Considerations Analysis
Identify and schedule time to do the analysis work
Save copy of raw results and separate copy for analysis
Document steps taken to analyze data
Identify opportunities for efficiencies
Develop a template for analyzing data that is easy to replicate
Back-it-up!!
Build in time to assess effectiveness of survey tool to make improvements
Did you find the answers to the questions you wanted to know?

16. III. Considerations
Analysis example

17. IV. Resources Data planning and management Designing Surveys
Data Management Research Guide
Online Data Management Workshop through UW Libraries
Designing Surveys
UW Survey Resources
WebQ Catalyst
tools/webq/webq-examples/
Academic Experience Design & Delivery

18. IV. Resources Data Analysis
Trainings through professional development
POD webinars: Microsoft Excel Techniques, Advanced Microsoft Excel PivotTables, Microsoft Access Techniques
UW IT
Online guides
Identify staff/faculty resources on your campus
Institutional sources of data
Institutional research office/staff

19. V. Wrap-Up More benefits than anticipated
Organic vs. planned survey strategy
Data plan and back-up
Iterative improvements
Locate resources, build contacts, professional development opportunities
Time investment

20. Thanks for your attention!
Q&A / Discussion
Aimee Kelly
Assistant Director of Academic Services
Integrated Social Sciences
Joe Hannah
Academic Adviser
Integrated Social Sciences