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Research Data

Dataset for: Digital transformation of quantitative data collection in social science research: Integrating survey data collection in social science research: Integrating survey data collection with big data and paradata for identifying social behaviour

Author(s) / Creator(s)

Centre for Social Informatics (CSI), Faculty of Social Sciences, University of Ljubljana, Ljubljana, Slovenia
The Samuel Neaman Institute for National Policy Research (SNI), Technion-Israel Institute of Technology, Haifa, Israel

Abstract / Description

Datafile of the bilateral research project “Digital transformation of quantitative data collection in social science research: Integrating survey data collection in social science research: Integrating survey data collection with big data and paradata for identifying social behaviour”.

Keyword(s)

web surveys data quality response quality grid questions item-by-item layout questionnaire design smartphones mobile devices

Persistent Identifier

Date of first publication

2021-09-16

Publisher

PsychArchives

Citation

Centre For Social Informatics (CSI), Faculty Of Social Sciences, University Of Ljubljana, Ljubljana, Slovenia, & The Samuel Neaman Institute For National Policy Research (SNI), Technion-Israel Institute Of Technology, Haifa, Israel. (2021). Dataset for: Digital transformation of quantitative data collection in social science research: Integrating survey data collection in social science research: Integrating survey data collection with big data and paradata for identifying social behaviour. PsychArchives. https://doi.org/10.23668/PSYCHARCHIVES.5107
  • Author(s) / Creator(s)
    Centre for Social Informatics (CSI), Faculty of Social Sciences, University of Ljubljana, Ljubljana, Slovenia
  • Author(s) / Creator(s)
    The Samuel Neaman Institute for National Policy Research (SNI), Technion-Israel Institute of Technology, Haifa, Israel
  • PsychArchives acquisition timestamp
    2021-09-16T06:56:37Z
  • Made available on
    2021-09-16T06:56:37Z
  • Date of first publication
    2021-09-16
  • Abstract / Description
    Datafile of the bilateral research project “Digital transformation of quantitative data collection in social science research: Integrating survey data collection in social science research: Integrating survey data collection with big data and paradata for identifying social behaviour”.
    en
  • Review status
    notReviewed
  • Sponsorship
    Slovenian Research Agency (ARRS, NI-0004), Israeli Ministry of Science and Technology (MOST)
  • Citation
    Centre For Social Informatics (CSI), Faculty Of Social Sciences, University Of Ljubljana, Ljubljana, Slovenia, & The Samuel Neaman Institute For National Policy Research (SNI), Technion-Israel Institute Of Technology, Haifa, Israel. (2021). Dataset for: Digital transformation of quantitative data collection in social science research: Integrating survey data collection in social science research: Integrating survey data collection with big data and paradata for identifying social behaviour. PsychArchives. https://doi.org/10.23668/PSYCHARCHIVES.5107
    en
  • Persistent Identifier
    https://hdl.handle.net/20.500.12034/4530
  • Persistent Identifier
    https://doi.org/10.23668/psycharchives.5107
  • Language of content
    eng
  • Publisher
    PsychArchives
  • Is related to
    https://www.psycharchives.org/handle/20.500.12034/4529
  • Keyword(s)
    web surveys
    en
  • Keyword(s)
    data quality
    en
  • Keyword(s)
    response quality
    en
  • Keyword(s)
    grid questions
    en
  • Keyword(s)
    item-by-item layout
    en
  • Keyword(s)
    questionnaire design
    en
  • Keyword(s)
    smartphones
    en
  • Keyword(s)
    mobile devices
    en
  • Dewey Decimal Classification number(s)
    150
  • Title
    Dataset for: Digital transformation of quantitative data collection in social science research: Integrating survey data collection in social science research: Integrating survey data collection with big data and paradata for identifying social behaviour
    en
  • DRO type
    researchData