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Improved Questionnaire Design Yields Better Data: Experiences from the UK’s Annual Survey of Hours and Earnings. Jacqui Jones, Pete Brodie, Sarah Williams & Jane Carter UK Office for National Statistics. Overview. Data Collection Methodology at ONS Methods standards Design standards
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Improved Questionnaire Design Yields Better Data: Experiences from the UK’s Annual Survey of Hours and Earnings Jacqui Jones, Pete Brodie, Sarah Williams & Jane Carter UK Office for National Statistics
Overview • Data Collection Methodology at ONS • Methods standards • Design standards • Case study: The Annual Survey of Hours and Earnings Slide 1
Background to DCM at ONS • Mid 1990s 1st QTU set-up for Census • Then expanded to include social surveys and business surveys Slide 2
Methods Standards • Aim was to develop a framework of processes to be used for all DCM question(naire) development work • Outcome was the Data Collection Methodology Improvement and Measurement Framework (DCM IMF) Slide 3
The DCM IMF Identification of data requirements Expert Review Evaluation Review + + Stage 1 Redesign & Development Stage 2 Pre-field Testing Stage 3 Field Testing Stage 4 Field Implementation Stage 5 Post-implementation Evaluation Stage 6 Identify and Disseminate Best Practice Stage 7 Slide 4
The DCM IMF Expert review Evaluation review Stage 1 Stage 2 Stage 3 Stage 4 Literature review Instrument development Expert review Qualitative testing Re-development Expert review Qualitative follow-up Quantitative analysis Slide 5
Design Standards • Aim was to develop tested standards for the design of questions and questionnaires • Outcome is draft standards – with constraints – colour and cross boxes Slide 6
Case Study: ASHE • ASHE collects data for earning statistics e.g. minimum wage • ASHE questionnaires are sent out to employers to complete on behalf of selected employees • 250,000 sample of employees Slide 9
ASHE: Need for Change • National Statistics Quality Review • New data requirements e.g. • Pay for other reasons • Pension data • Existing data problems e.g. • Possible inclusion of pay elements in the wrong responses Slide 10
Overview of the ‘Old’ Questionnaire • Very cramped 2 sided questionnaire which collected 26 data items • 4 sides of additional notes • Respondent coding Slide 11
‘Old’ Questionnaire Slide 12
‘Old’ Questionnaire Slide 14
Overview of the ‘Old’ Questionnaire • Unclear data requirements • Inconsistent terminology • Double-barrelled questions Slide 15
ASHE Development Followed DCM IMF processes: • Focus group (8 large businesses) • Pre-field testing • 30 cognitive interviews (5 waves of testing) • Waves 1-3 concurrent interviewing • Waves 4-5 retrospective interviewing Slide 17
ASHE Development 2004 Field tested 6 sided questionnaire: • Split sample design (98% ‘old’ , 2% ‘new’) • Quantitative analysis • Non-response • Respondent burden (actual & perceived) • Processing errors Slide 18
Results of ASHE Field Test • Response (no statistical difference) • Errors (no statistical difference) • Respondent feedback (positive) • Respondent burden (reduced per question) • Some problems with question wording • Costs (increased paper, printing, postage, processing) • Time (increased processing time) Slide 19
6 sided to 4 sided compromises • Minimum standard – based on testing - keep question & response category wording + instructions to stay with questions • Challenge was to promote positive respondent perceptions and clear navigational path • No time for further testing – redesign by DCM experts & ‘quick perception’ telephone interviews Slide 20
‘Old’ Questionnaire Slide 21
2006 ASHE 4 Sided Questionnaire Slide 24
2005 Qualitative Follow-Up • Looked at differences between responses to the 2004 ‘old’ questionnaire and the 2005 4 sided questionnaire. • Focussed on 5 key areas e.g. • the affect on basic pay of a new ‘other pay’ question • 31 in-depth telephone interviews Slide 25
‘Old’ Basic Pay Question Slide 26
‘Other Pay’ Results Qualitative study found: • Better comprehension of new questions • Improved reporting of ‘other pay’ • Respondents preferred ‘new’ layout Quantitative analysis found: • ‘Old’ questionnaire - ‘other pay’ had been excluded by some • Correction by imputation added 0.8% growth to basic pay at the all employee level Slide 28
What did we learn? Must have: • clear & agreed data requirements • agreement on the maximum number of pages • DCM experts involved in redesign & testing • method standards • design standards • improved methods for measuring data quality Slide 29
Thank You Jacqui.Jones@ons.gov.uk