1. Statistics New Zealand navigates towards online data collection: Planning and implementing an Internet- based survey Emma Mawby, Helen Smith, and Colin Hewat Statistics New Zealand September 2013

2. Summary Successful Internet mode for census Stats 2020 strategic priorities Transform Collections Programme Interim Internet Project Challenges Selecting the questionnaire design tool Selecting the initial survey Designing the questionnaire Implementing Internet mode Lessons learnt September 152UNECE Seminar on Statistical Data Collection

3. Successful Internet mode for census 2006 Census – 7 percent completed online 2013 Census – 35 percent completed online 2013 Census pilot area – more than 65 percent completed online September 153UNECE Seminar on Statistical Data Collection

4. Stats 2020 strategic priorities 1. Lead Official Statistics System so it efficiently produces the information New Zealand needs. 2. Obtain more value from the country’s investment in official statistics. 3. Transform the way Statistics NZ delivers statistics. 4. Be a more responsive, customer-focused, influential, and sustainable organisation. September 154UNECE Seminar on Statistical Data Collection

5. Transform Collections Programme Supports strategic priority 3: transform the way we deliver statistics Design, develop, and implement a future operating model that will harness current technologies September 155UNECE Seminar on Statistical Data Collection

6. Interim Internet Project Staged and sequenced approach Key success criteria included: easy migration, logon, and authentication processes respondent-specific pre-population of questionnaire fields respondent-customisable survey communications September 156UNECE Seminar on Statistical Data Collection

7. Challenges Common to other countries Expected to adopt new technology quickly Respondent experience Mode effects IT requirements for Internet questionnaires Specific to New Zealand Method of first contact Privacy, security, authorisation, and authentication September 15 UNECE Seminar on Statistical Data Collection 7

8. Selecting the questionnaire design tool ‘Off the shelf’ rather than ‘bespoke’ Requirements: cloud source based in New Zealand functional requirements – complex routing, calculations, data piping, validation easy to control look and feel of the questionnaire September 158UNECE Seminar on Statistical Data Collection

9. Selecting the initial survey ‘Phased analysis, phased roll-out’ solution ‘Do-learn-do’ approach New Zealand Energy Use Survey selected September 159UNECE Seminar on Statistical Data Collection

10. Designing the questionnaire Maximise benefits of Internet Retain consistency with paper questionnaire Minimise impact of mode effects Respondents liked the finished product! September 1510UNECE Seminar on Statistical Data Collection

11. Implementing the Internet mode Modes offered sequentially – Internet then paper Issues: security and privacy of pre-populated fields authentication September 1511UNECE Seminar on Statistical Data Collection

12. Lessons learnt Challenges larger or smaller than they seemed Assumptions should be investigated Insights: unified objectives should drive the chosen approach align aims with wider initiatives unique situations need unique solutions September 1512UNECE Seminar on Statistical Data Collection