Innovation in online data collection for scientific research: the Dutch LISS panel. Marcel Das

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1 Innovation in online data collection for scientific research: the Dutch LISS panel Marcel Das

2 CentERdata An independent non-profit institute housed at the campus of Tilburg University (The Netherlands) Three main activities: - data collection / online survey research - quantitative research, policy analysis and model development 2 - software solutions (tailor-made software for data collection and dissemination)

3 MESS Project: a highly advanced research infrastructure for the social sciences Links with administrative data Experiments LISS Panel New measurement devices Core study Immigrant panel 3 Open to scientists worldwide

4 Central element MESS project: LISS panel Online panel of 4,500 households 7,000 individuals (>= 16 years) Questionnaires each month, 30 min. Incentive 15 euro an hour (average) 4 Budget available for scientific research, to use the panel free of charge

5 Why use online panels for scientific research? 5

6 Disadvantages online surveys Noncoverage: Persons without Internet are usually excluded No probability sample: Visitors of specific websites Self-selection (interested, strong opinions, specific goals) 6

7 LISS panel Online interviews as method, but: Probability sample drawn from address sampling frame of Statistics Netherlands Includes households without Internet access (less than 15%): CentERdata provides equipment 7 Contacted by letter, telephone and/or visit

8 ? Households without Internet 8

9 simpc Small and silent Only the most frequently used functions Automatic maintenance, safety Simple operation and readable screens 9 Installation and support

10 Recruitment of LISS panel 10

11 Recruitment Letter and brochure Short interview Panel question Households without Internet simpc and broadband Confirmation Internet interviews Households with Internet 11

12 Response Letter and brochure Short interview Secondary response target: 60% Panel question Primary response target: 80% Households without Internet simpc and broadband Confirmation Internet interviews Households with Internet Tertiary response target: 53% 12

13 Response in recruitment Recruitment stage (households) % of total gross sample LISS panel Reached 90 Completed interview or central questions 75 Willing to participate in panel 63 Registered as panel member 48 Total gross sample* *excluding not usable addresses (308)

14 Non-response patterns Similar to those of other leading scientific panels Superior to commercial access and volunteer panels: - no coverage problems - no self-selection 14

15 Non-Internet households 15

16 Non-Internet households Who are they? Do we get them in the panel? Are participants representative? Do they stay in the panel? 16 Do they stay representative or do they start to use the Internet?

17 Results of study Who are they? Get them in the panel? Representative? Stay in the panel? Stay representative? 17 Differ in many ways from Internet hh Difficult to get into the panel In panel: representative with respect to age, household size and origin Loyal and reliable panel members About half remain Non-Internet Using Internet does not change the answers to questions

18 Use of infrastructure 1. Collection of new data; proposals can be submitted throughout the year Budget available for academic researchers to use the LISS panel 2. Use of existing data (free of charge) 18 Available data: - longitudinal core study - proposed studies

19 Longitudinal core study Questions were designed in close collaboration with experts in the relevant fields Core study borrows from various national and international surveys Topics: Household and family, Economic situation and housing, Work and schooling, Social integration and leisure, Health, Personality, Religion and ethnicity, Politics and values 19 LISS wave 6: Nov 2012 to June 2013

20 20 Overview of affiliations The Netherlands Eindhoven University of Technology Australia Canada Israel New Zealand USA Arizona State University Bar-Ilan University Carnegie Mellon University Connecticut College Duke University Emory University Federal Reserve Bank of New York Griffith University Harvard University Hebrew University of Jerusalem Laval University Michigan State University Michigan Technological University Neuroscience Research Australia New York University Northeastern University Pew Research Center Saint Leo University Stanford University Erasmus MC, Rotterdam Erasmus University Rotterdam Free University, Amsterdam Groningen University Leiden University Maastricht University Open Universiteit Radboud University Nijmegen Tilburg University University Medical Center Utrecht University of Amsterdam University of Twente Utrecht University VU University MC Wageningen Unviversity Stony Brook University Swinburne University of Technology Tel Aviv University Université du Québec à Montréal University of Calgary University of California University of Florida University of Maryland University of Michigan University of Waterloo University of Wellington Washington State University World Values Survey Association Proposals LISS panel ACCR (Free University Amsterdam) ASCoR (University of Amsterdam) Dutch Central Bank Netherlands Bureau for Economic Policy Analysis (CPB) Netherlands Institute for Social Research (SCP) Netherlands Institute for the Study of Crime and Law Enforcement Netherlands Interdisciplinary Demographic Institute (NIDI) Netherlands Organization for Applied Scientific Research (TNO) NHTV Breda University of Applied Sciences Rutgers Nisso Groep Statistics Netherlands Tranzo Basel University City University London Europe ECARES European University Institute GESIS Ghent University Institute for Employment Research (IAB) KU Leuven Max Planck Institute for Human Development National Center for Scientific Research (France) Norwegian University of Science and Technology Nuffield College University of Lausanne Ulm University University of Limerick University College Dublin University of Louvain University College London University of Mannheim University of Bath University of Padua University of Bristol University of Southampton University of Copenhagen University of Southern Denmark University of Duisburg University of Stirling University of Essex University of Vienna University of Florence University of Zurich University of Heidelberg Universitat Pompeu Fabra

21 Innovation in data collection Internet weighing scales Accelerometers (international collaboration) 21 Smartphones (Time Use, with the Netherlands Institute for Social Research; Mobility, with Twente University)

22 LISS data Disseminated through website / data archive: Database is based on an internationally used specification for describing social science data (DDI 3) Search entry from Concept, Variable, Question, Topic, and Study (Relational) 22 Exchangeable with data archives; source code of data dissemination system available free of charge

23 Opportunities... In December 2012 the LISS panel was used for collecting the Dutch WVS data Setup of similar initiatives in other countries? Feasible! Still... if impracticable in some countries: use of Internet as one of the modes (fast, relatively cheap, high data quality) 23

24 Ex-ante harmonization Questionnaire (already done in WVS) But also in terms of software tools! Example: Survey of Health, Ageing and Retirement in Europe (SHARE) 24 Language Management Utility (LMU) Same interview software (Blaise) Sample Management System (SMS) Data dissemination

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