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Title: Innovation in online data collection for scientific research The Dutch MESS project Marcel Das


1
Innovation in online data collection for
scientific research The Dutch MESS
projectMarcel Das
2
MESS Project
  • Purpose to build an advanced data collection
    environment for the social sciences
  • Maximal opportunities for innovation
  • Multidisciplinary
  • Fast
  • Cost effective
  • Easy to use for everyone in the scientific
    community

3
Central element MESS project the LISS panel
  • Online panel of 5,000 households
  • 8,000 individuals (gt 16 years)
  • Questionnaires each month, 30 min.
  • Incentive 15 ( ? 21,500) per hour
  • At no cost if for scientific use

4
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
  • Contacted by letter, telephone or visit

5
simPC
  • Very small and silent
  • Only the most frequently used functions
  • Automatic maintenance, virus protected
  • Simple operation and readable screens
  • Installation and support

6
Non-response patterns
  • Similar to those of other leading scientific
    panels
  • Superior to commercial access and volunteer
    panels- no coverage problems - no
    self-selection

7
  • Attention for attrition
  • Refreshment sample in 2009 (stratified) and 2011
    (random), in close collaboration with Statistics
    Netherlands

8
Number of registered households by subsamples
Jan 2008 - July 2012
Source Scherpenzeel et al. 2012
9
Non-Internet households(Leenheer and
Scherpenzeel, 2012)
  • Who are they?
  • Do we get them in the panel?
  • Are participants representative?
  • Do they stay in the panel?
  • Do they stay representative or do they start to
    use the Internet more frequently?

10
Results of study
  • 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

Who are they? Get them in the
panel? Represen-tative? Stay in the
panel? Stay repre-sentative?
11
  • Use of the LISS panel
  • New data collection
  • Academic researchers, irrespective of
    nationality, can use the LISS panel at no cost
  • Proposals can be submitted throughout the year
    (see http//www.lissdata.nl)
  • Available data (free of charge)
  • Proposed studies
  • Longitudinal core study

12
Longitudinal Core Study
  • Questions were designed in close collaboration
    with experts in the relevant fields
  • Core study borrows from various national and
    international surveys (to facilitate comparisons
    with other data sources)
  • Topics Household and family, Economic situation
    and housing, Work and schooling,
  • Social integration and leisure, Health,
    Personality, Religion and ethnicity, Politics and
    values
  • Wave 5 Nov 2011 to June 2012

13
Innovation in data collection methods
14
Advanced weighing scales
  • Device that measures body weight and fat
    percentage, wirelessly transmitted to LISS
    database
  • Provided to 1,000 households
  • in LISS panel
  • 2011 80,000 measurements
  • Data can be linked to a wealth of
  • socioeconomic variables

15
Weekly weight cycle
Source Kooreman and Scherpenzeel, 2012
16
Accelerometer study
Device provides aggregate indices of activity
through the day (24 hours) Wearing the device
for 8 days September 2012 feasibility pilot
among 200 LISS respondents International
collaboration American Life Panel (ALP)
English Longitudinal Study of Aging (ELSA)
17
Smartphone data collection
  • Time Use Research (TUR)usually carried out using
    questionnaires and diaries?current technology
    smartphones and apps
  • Also after consent, connect diary to movements
    measured by GPS

18
Pilot experiments(Fernee et al., 2012)
  • Currently lt 25 of LISS respondents has
    smartphone with Internet access
  • Explore the possibility to loan smartphones to
    LISS respondents
  • 50 respondents with Android smartphone? download
    app from Android Play-store
  • 50 respondents without Android smartphone
  • ? app was already installed

19
Response
Day 1 Wednesday Smartphone owners (50) Inexperienced users (50)
Day questions uploaded (complete) 40 27
Partially complete 2 15
No observations 3 7
Never logged in 5 1
Day 2 Saturday Smartphone owners (50) Inexperienced users (50)
Day questions uploaded (complete) 37 46
Partially complete 9 1
No observations 3 0
Never logged in 1 3
20
Smartphones next steps
  • September 2012 start collecting the actual TUR
    data on iPhones, Android (loan) smartphones
  • (in cooperation with The Netherlands Institute
    for Social Research)
  • One year each month a different batch of about
    170 respondents
  • Next to the TUR study
  • Project measuring travel behavior (GPS)
  • Software development for smartphones

21
Linking to admin data
  • Expands the possibilities for scientific research
    enormously
  • Statistics Netherlands offers a remote access
    facility to (registered) researchers
  • First project merging
  • LISS data about minimal and adequate expenditure
    levels during retirement
  • with
  • administrative data on pension entitlements and
    various asset categories

22
LISS data archive and DDI
  • Disseminated through website / data archive
    http//www.lissdata.nl
  • Database is based on DDI 3 one of the first
    implementations of version 3(DDI Data
    Documentation Initiative,International XML-based
    standard for data documentation)
  • Supports Baskets, allowing researchers to
    create and download custom datasets

23
www.lissdata.nl
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