How could mobile devices improve survey measurement and social research? Exploring the opportunities and challenges through innovative examples of mobile.

Slides:



Advertisements
Similar presentations
Developing a Mobile-Optimized Web Instrument for the Consumer Expenditure Diary Survey Nhien To Brandon Kopp Jean Fox Erica Yu Federal CASIC Workshops.
Advertisements

Review of Maternal and Child Health Service
School of Information Technologies Faculty of Science, College of Sciences and Technology The University of Sydney INFO4990: IT Research Methods Experimental.
Transforming lives through learning Assessing Progress and Achievement Professional Learning Resource Scottish Learning Festival September 2014.
Experimental thinkaloud protocols: a new method for evaluating the validity of survey questions Patrick Sturgis National Centre for Research Methods (NCRM)
Frank Yu Australian Bureau of Statistics Unstructured Data 1.
Thinking hats: What are the key assumptions of each approach? What are the benefits of each approach? What are the weaknesses of each approach? This is.
GAIN Symposium Making a difference in the first 1000 days to improve the lives of children and women: Advancing nutrition through innovation and new delivery.
Effective Questioning in the classroom
Mobile Ghent Mobile positioning data and transport: a theoretical, methodological and empirical discussion 24 October 2013 Bert van Wee Delft University.
The Future of Statistical Data Collection? Challenges and Opportunities Johan Erikson (Statistics Sweden) Gustav Haraldsen (Statistics Norway) Ger Snijkers.
Poverty measurement: experience of the Republic of Moldova UNECE, Measuring poverty, 4 May 2015.
3.14 X AXIS 6.65 BASE MARGIN 5.95 TOP MARGIN 4.52 CHART TOP LEFT MARGIN RIGHT MARGIN © TNS 2014 Fieldwork effort, response rate and the distribution.
Reflection and Learning Workshop April 2015 Imperial Botanical Garden Hotel, Entebbe.
5-4-1 Unit 4: Sampling approaches After completing this unit you should be able to: Outline the purpose of sampling Understand key theoretical.
Wearable Electronic Device Design for Preventive Health Care-Related Purposes Supervisor: Jörg Ott Author: Todor Aleksandrov Ginchev, 23 November 2015.
MEASURING PHYSICAL ACTIVITY Week 3. What you need to know The difference between subjective and objective methods The difference between subjective and.
Innovation Tools: Innovation Dashboard & Opportunity Assessment Templates.
1 © 1999 Wadsworth/Thomson Learning Sociology Research Ethics Maintain Objectivity Basic Standards for Conducting Scientific Research Basic Standards for.
Text2Buy 13Text Ltd. Text2Buy... Would you like to promote a 24 x 7 fully automated “buy it now” Call to Action across any advertising media for your.
SUPPORTING PEOPLE PROVIDER FORUMS An overview of Supporting People’s new approach to Performance Monitoring and Quality Assurance.
Work experience as a gateway to talent in the UK: Assessing business views Dr Joan Wilson 21 July 2016 London Conference on Employer Engagement in Education.
Maintaining high response rates – is it worth the effort?
ClairCity The multiple mechanism of engagement WP4 ClairCity approach
DATA COLLECTION METHODS IN NURSING RESEARCH
An introduction to Research Methods
7 things to boost productivity of your small business team.
Monitoring, Evaluation and Learning
Unit 2 GCSE Business Communication Systems
Time-use data collection by means of smartphones
The case study of guided exploratory urban planning tours and site visits via a mobile learning application TDF Project “The City as a Classroom” Hai-Ning.
13Text Ltd Text2Donate.
Psychometric Tests aptitude, cognitive, ability or intelligence tests
Harry Timmermans Eindhoven University of technology
Mobile Application Development
Data and Big Data in MPI David Austin and Gerald Rys
Testing in Production Key to Data Driven Quality
ESTABLISHING REQUIREMENTS
Positivism Society is measurable & objective
Presentations for impact
Design of Clinical Trials
Workshop A2: Non-response Challenges in GPS Surveys
Evaluation Styles Logic Model Generic Social Developmental
EDU 675 STUDY Education for Service-- edu675study.com.
Relevance of lit review to own context and practice: common core bringing technology into classrooms, new resources, and many questions about how to use.
Teaching All Children: Planning and Assessment
Data collection with Internet
Our new quality framework and methodology:
The SWA Collaborative Behaviors
Multi-Mode Data Collection Approach
Travel Behavior Inventory: Household Travel Survey
Methodology of the Behaviourist Approach
HBS innovation using mobile devices
Monitoring, Evaluation and Learning
Data collection with Internet
What is Reflect? Recordings are created to support your learning
Multi-Mode Data Collection Approach
Sociological Research Methods
Statistical Bias 9/18/2015 Statistics Mr. DeOms
Building Better Classes
Data collection with Internet
EXPERIMENTAL METHOD.
RESPONDING TO STUDENT VOICE: PRINCIPLES OF PRACTICE
Data collection with Internet
Research Techniques Made Simple: Teledermatology in Clinical Trials
CASE STUDY.
How can DTM Multi-Sectoral Location Assessment be useful for
Big Data in Official Statistics: Generalities
Research Integrity, Second Edition, Australian Version
Key Challenges Strategic Advisor For Data Resources
Presentation transcript:

How could mobile devices improve survey measurement and social research? Exploring the opportunities and challenges through innovative examples of mobile data collection Carli Lessof NCRM Southampton & TNS BMRB Associate

Transformative opportunities Three inter-linked challenges Checking our assumptions - quality & suitability What do we need to make progress Acknowledgements Based on a paper written with Patrick Sturgis Examples particularly from TNS BMRB Outline

Transformative opportunities

In the moment surveys measuring behaviour

Photographs of meals to validate real behaviours

Barcode scans of food purchase and nutrition

Till receipt capture to measure expenditure

Environmental impact on momentary wellbeing

Geo-location in travel surveys in the Netherlands

Other transformative opportunities Sensors e.g. accelerometry Biometrics and mHealth Pollution measurement Passive data to track mobile behaviours

Always on and connected Multi-media and sensor capabilities Options to invite data collection –Respondent activity (mobile diary) –Triggered by transaction or interaction –Triggered by random or specific moments in time –Triggered by geo-location or beacons Create new opportunities for research Strengths

Three inter-linked challenges

Consent can be requested during the process … but strong scrutiny is required –Agreement is given easily –Non-participants may be included without consent –Additional data types increase the risk of disclosure –Respondents’ devices may be vulnerable Greater protection of data is possible… …but may reduce opportunities for replication Challenge 1: Ethics

Recall may be cognitively difficult but additional data collection activities are also demanding –downloading an App –remembering to carry your mobile or a sensor –remembering to trigger a micro-survey or scan a receipt –responding to a prompt within a short time period –the time taken to provide the information New kinds of data collection may be engaging –providing direct feedback or personal insights –reflecting multi-channel lifestyles Challenge 2: Burden

Response rates are not fully understood –Commercial panels rely on scale and adjustment –Impact will vary depending on activity Exploring bias in who is excluded and responds –MCS data less complete from disadvantaged groups –Understanding Society IP trial will provide more info Challenge 3: Non-response

Not suitable for long and complex surveys Smartphone and data plans are not universal Access to representative samples is challenging Checking our assumptions about suitability

Mobile creates new research opportunities but we cannot assume, for example –In the moment measurement –Concept validity Mobile may provide complex data where missingness is harder to identify and estimate Checking our assumptions about quality

Still learning how to design for mobile More methodological research Opportunities for experimentation Test and learn rather than sit and wait Collaboration across sectors and disciplines Early and open sharing Understanding the innovation cycle What do we need to make progress?

Questions?