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  • 标题:WEBDATANET: A Network on Web-based Data Collection, Methodological Challenges, Solutions, and Implementation
  • 本地全文:下载
  • 作者:Stephanie Steinmetz ; Lars Kaczmirek ; Pablo de Pedraza
  • 期刊名称:International Journal of Internet Science
  • 印刷版ISSN:1662-5544
  • 出版年度:2012
  • 卷号:7
  • 期号:1
  • 出版社:University of Zurich
  • 摘要:Do you collect data via the Internet in your research? If you do, this European network is important for you. The network collects and combines experiences and research on the methodology of online data collection. It provides access to expertise that may be important in your research. WEBDATANET is a unique multidisciplinary European network bringing together more than 76 leading web-based data collection experts, (web) survey methodologists, psychologists, sociologists, linguists, economists, computer scientists, media researchers, internet scientists and public opinion researchers from 28 countries of the European Union and abroad. By addressing methodological issues of web-based data collection (surveys, experiments, tests, non-reactive data collection, and mobile internet research) and fostering its scientific usage, WEBDATANET aims to contribute to the theoretical and empirical foundations of web-based data collection, stimulate its integration into the entire research process, and enhance the integrity and legitimacy of these new forms of data collection.
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