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    Mobile Research Methods

    Opportunities and challenges of mobile research methodologies

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    Author(s)
    Pedraza, de, Pablo
    Pinter, Robert
    Toninelli, Daniele
    Language
    English
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    Abstract
    Daily activity sees data constantly flowing through cameras, the internet, satellites, radio frequencies, sensors, private appliances, cars, smartphones, tablets and the like. Among all the tools currently used, mobile devices, especially mobile phones, smartphones and tablets, are the most widespread, with their use becoming prevalent in everyday life within both developed and developing countries. Shopping, reading newspapers, participating in forums, projecting and completing surveys, communicating with friends and making new ones, filing tax returns and getting involved in politics are all examples of how ingrained mobile technology is to modern lifestyleMobile devices allow a wide range of heterogeneous activities and, as a result, have great potential in terms of the different types of data that can be collected. The use of mobile devices to collect, analyse and apply research data is explored here. This book focuses on the use of mobile devices in various research contexts, aiming to provide a detailed and updated knowledge on what is a comparatively new field of study. This is done considering different aspects: main methodological possibilities and issues; comparison and integration with more traditional survey modes or ways of participating in research; quality of collected data; use in commercial market research; representativeness of studies based only on the mobile-population; analysis of the current spread of mobile devices in several countries, and so on. Thus, the book provides interesting research findings from a wide range of countries and contexts. This book was developed in the framework of WebDataNet’s Task Force 19. WebDataNet, was created in 2009 by a group of researchers focusing on the discussion on data collection methods. Supported by the European Union programme for the Coordination of Science and Technology, WebDataNet has become a unique, multidisciplinary network that has brought together leading web-based data collection experts from several institutions, disciplines, and relevant backgrounds from more than 35 different countries.
    URI
    http://library.oapen.org/handle/20.500.12657/33043
    Keywords
    survey methodology; mobile devices; unintended mobile response; web surveys; research methods; mobile web surveys; Computer-assisted telephone interviewing; Demography; Internet; Landline; Smartphone; SMS
    DOI
    10.5334/bar
    ISBN
    9781909188549;9781909188556;9781909188563
    OCN
    936351599
    Publisher
    Ubiquity Press
    Publisher website
    https://www.ubiquitypress.com/
    Publication date and place
    2015
    Classification
    Research methods: general
    E-book readers, tablets and other portable devices: consumer / user guides
    Mobile phones and smartphones: consumer / user guides
    Society and culture: general
    Industrial applications of scientific research and technological innovation
    Scientific equipment, experiments and techniques
    Impact of science and technology on society
    Digital and information technologies: social and ethical aspects
    Digital and information technologies: Legal aspects
    Internet: general works
    Internet guides and online services
    Pages
    166
    Public remark
    Relevant Wikipedia pages: Computer-assisted telephone interviewing - https://en.wikipedia.org/wiki/Computer-assisted_telephone_interviewing; Demography - https://en.wikipedia.org/wiki/Demography; Internet - https://en.wikipedia.org/wiki/Internet; Landline - https://en.wikipedia.org/wiki/Landline; Mobile device - https://en.wikipedia.org/wiki/Mobile_device; Mobile phone - https://en.wikipedia.org/wiki/Mobile_phone; Mobile web - https://en.wikipedia.org/wiki/Mobile_web; Smartphone - https://en.wikipedia.org/wiki/Smartphone; SMS - https://en.wikipedia.org/wiki/SMS
    Rights
    https://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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