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Challenges of Developing and Supporting M lti Multimode Survey Instruments d S I t t October 2010 Thirteenth International Blaise Users Conference Baltimore, Maryland Leonard Hart Scott Reid Erin Slyne Overview Brief history of


  1. Challenges of Developing and Supporting M lti Multimode Survey Instruments d S I t t October 2010 Thirteenth International Blaise Users Conference Baltimore, Maryland Leonard Hart Scott Reid ● Erin Slyne

  2. Overview  Brief history of multimode surveys at Mathematica Mathematica  Lessons learned  Wrap-up 2

  3. Evolution of multimode surveys at Mathematica  Paper and pencil – High Speed Data Entry  CATI  CAPI  CAPI  CAWI  Drawbacks – Survey data stored in different locations – Expensive to combine data E i t bi d t – Different authoring tools for each mode 3

  4. First Steps  One instrument, different datasets (CATI & CAPI) or (CATI & Paper) (CATI & CAPI) or (CATI & Paper) – Managing the sample – Still need to combine data but easier  CAWI comes into the picture – Standalone – Problems merging the data – Managing sample in different packages  There has to be a better way to do multimode survey! 4

  5. Real-time, one Centralized database  NSRCG’s 2003 survey (CATI/CAWI/CADE) – No data to pass between databases – Learned a lot Learned a lot • Managing the survey • Security - Internal to Mathematica – Successful, but with growing pains • Not the savings we were hoping for – Initial setup issues p – Programming cost • Browser wars • Communication between groups • Communication between groups • Limited success with CADE 5

  6. Success - Real-time one centralized database  Used on multiple surveys  Still learning  Blaise software constantly Blaise software constantly improving  Lowered programming Lowered programming costs, but needs to be even more efficient 6

  7. CAWI: One size doesn’t fit all  Different needs – Web only Web only – Multimode (CAWI/CATI) – Quick and dirty – Customizable – Cost  Three packages – Web only • Opinio p • WebSurv – Multimode (CAWI/CATI) • Blaise IS • Blaise IS 7

  8. Support Issues  Web dominates  Multiple authentication processes  Around the clock support Around the clock support  Triaging the issue – Multiple Browsers – Multiple Browsers – External 8

  9. Blaise Single instrument for CATI/CAWI  Disadvantages – Complexity of code Complexity of code – Different ways to ask questions by mode – Updating an instrument, CATI/CAWI both unavailable – Call Scheduler issues  Advantages – Less redundant coding – Cost savings – No merging of data g g – Case locking 9

  10. Conclusion  Success! Real-time one centralized database CATI/CAWI – Different survey management – Still discovering items – Some success with CADE Some success with CADE – Cost  Future Future – CATI/CAWI/CAPI with real-time one centralized database • Testing successful • Issues with Wireless network coverage I ith Wi l t k  Growth in use of mobile devices 10

  11. Conclusion (continued)  Blaise NG – Expecting great things! Expecting great things! • Easier to design • Decrease programming cost • Better case management • Program once for all modes 11

  12. Questions / For More Information  Questions?  Please contact: – Leonard Hart, Senior Manager, Senior Systems Analyst Leonard Hart Senior Manager Senior Systems Analyst • LHart@mathematica-mpr.com – Scott Reid, Supervisor, Senior Systems Analyst • SReid@mathematica-mpr.com – Erin Slyne, Systems Analyst • ESlyne@mathematica-mpr.com 12

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