Web Form Design Standards Preparing for web forms
Web Form Design Standards Preparing for web forms in the Australian Bureau of Statistics (ABS) Quality in Official Statistics Q 2010 Helsinki 4 -6 May 2010
Introduction • Presenter: Kettie Hewett kettie. hewett@abs. gov. au • Development of ABS web form standards • Web reporting pilot • Controlling modal bias through form design • Outcomes from web form trials • Response enhancing techniques Quality in Official Statistics Q 2010 Helsinki 4 -6 May 2010
Developing web form design standards for the ABS • Why? – To be prepared for web forms • Based on: – Previous ABS web form experiments – Excel forms design standards – Research on international web form use Quality in Official Statistics Q 2010 Helsinki 4 -6 May 2010
Previous ABS web form experiment Quality in Official Statistics Q 2010 Helsinki 4 -6 May 2010
Previous ABS web form experiment Quality in Official Statistics Q 2010 Helsinki 4 -6 May 2010
Excel form design Quality in Official Statistics Q 2010 Helsinki 4 -6 May 2010
Designing first web forms • Similar to paper forms • Provided basic web functionality – Widgets (e. g. radio buttons) – Automated totals – Navigation – Sequencing – Buttons Quality in Official Statistics Q 2010 Helsinki 4 -6 May 2010
Radio buttons Quality in Official Statistics Q 2010 Helsinki 4 -6 May 2010
Automated totals Quality in Official Statistics Q 2010 Helsinki 4 -6 May 2010
Automated totals Quality in Official Statistics Q 2010 Helsinki 4 -6 May 2010
Automated totals Quality in Official Statistics Q 2010 Helsinki 4 -6 May 2010
Navigation Quality in Official Statistics Q 2010 Helsinki 4 -6 May 2010
Sequencing Paper form Web form Quality in Official Statistics Q 2010 Helsinki 4 -6 May 2010
‘Fancy’ sequencing Quality in Official Statistics Q 2010 Helsinki 4 -6 May 2010
Buttons Tabbed layout Scrolling layout Quality in Official Statistics Q 2010 Helsinki 4 -6 May 2010
Response rates for pilot web form (Dec quarter 2009) Collection Despatched Accessed Returned % take-up STA 1002 234 202 20. 2 IAS 119 89 78 65. 6 QBIS 47 19 18 38. 3 Total 1168 342 298 25. 5 Quality in Official Statistics Q 2010 Helsinki 4 -6 May 2010
Response enhancing techniques • Raise awareness of web option • Password requirements should be simple • Forms should be resumable • Match respondent expectations (e. g. use email) • Save, print and submit options should be obvious Quality in Official Statistics Q 2010 Helsinki 4 -6 May 2010
Conclusion • • Steep learning curve Design standards a balance Respondents like web forms Mode effects minimised through form design and testing • Web forms are not likely to be cheaper or easier for the ABS Quality in Official Statistics Q 2010 Helsinki 4 -6 May 2010
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