Web Form Design Standards - Quality on Statistics 2010

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Transcript Web Form Design Standards - Quality on Statistics 2010

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
[email protected]
• 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)
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 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