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Web Form Design Standards. Preparing for web forms in the Australian Bureau of Statistics (ABS). Introduction. Presenter: Kettie Hewett kettie.hewett@abs.gov.au Development of ABS web form standards Web reporting pilot Controlling modal bias through form design
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Web Form Design Standards Preparing for web forms in the Australian Bureau of Statistics (ABS) Quality in Official Statistics Q2010 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 Q2010 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 Q2010 Helsinki 4-6 May 2010
Previous ABS web form experiment Quality in Official Statistics Q2010 Helsinki 4-6 May 2010
Previous ABS web form experiment Quality in Official Statistics Q2010 Helsinki 4-6 May 2010
Excel form design Quality in Official Statistics Q2010 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 Q2010 Helsinki 4-6 May 2010
Radio buttons Quality in Official Statistics Q2010 Helsinki 4-6 May 2010
Automated totals Quality in Official Statistics Q2010 Helsinki 4-6 May 2010
Automated totals Quality in Official Statistics Q2010 Helsinki 4-6 May 2010
Automated totals Quality in Official Statistics Q2010 Helsinki 4-6 May 2010
Navigation Quality in Official Statistics Q2010 Helsinki 4-6 May 2010
Sequencing Paper form Web form Quality in Official Statistics Q2010 Helsinki 4-6 May 2010
‘Fancy’ sequencing Quality in Official Statistics Q2010 Helsinki 4-6 May 2010
Buttons Tabbed layout Scrolling layout Quality in Official Statistics Q2010 Helsinki 4-6 May 2010
Response rates for pilot web form (Dec quarter 2009) Quality in Official Statistics Q2010 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 Q2010 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 Q2010 Helsinki 4-6 May 2010