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Chasing a Dragonfly on the Lawn

Received: 21 August 2015    Accepted: 6 September 2015    Published: 14 September 2015
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Abstract

In this paper the authors aim to discuss a series of surveys conducted over the past two years through web-survey, through which issues related to eating disorders have been scrutinized with the objective of giving a portrait as to the several aspects concerning those who live in a state of distress by cause of chronic diseases. The methodology employed makes use of statistical techniques widely recognized in the scientific field. The main purpose is to understand if the new techniques of study born to the web 2.0 are valid as classical techniques, with particular attention to the break-off phenomenon (total and partial dropouts) as well as the response and cooperation rates, in order to understand how these may still be valid in contexts web 2.0. The results are encouraging, the rates examined and the percentage emerged from error sampling makes us think that we snatched the dragonfly on the grass.

Published in Science Innovation (Volume 3, Issue 4)
DOI 10.11648/j.si.20150304.11
Page(s) 39-45
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Web-Survey, Web 2.0, Break-off Phenomenon, Cooperation Rates, Total and Partial Dropouts

References
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[5] D. A. Dillman, Mail and Internet Surveys: The Tailored Design Method (2nd Edition ed.), New Jersey: John Wiley & Sons, 2006.
[6] J. Bethlehem, S. Biffignandi, Handbook of Web Surveys, Wiley Handbooks in Survey Methodology, New Jersey: John Wiley & Sons, 2012.
[7] B. Molinari, La raccolta dei dati dal punto di vista del rilevatore: due censimenti a confronto, in Aragona B. (a cura di), Interrogare le fonti 2: un confronto interdisciplinare sull’uso delle fonti statistiche, Napoli: Liguori Editore, 2013.
[8] R. M. Groves, Computer-Assisted Peronal Interviewing for the Consumer Expenditure Interview Survey, in “Consumer Expenditure Survey Antology”, (DOI): 10.3386/w18308, 2003.
[9] W. Cochran, Samping Techniques, New York: Wiley, 1953.
[10] A. Marradi,”Casuale e rappresentativo: ma cosa vuol dire?”, in P. Ceri (a cura di), (1997), Politica e sondaggi, Torino: Rosenberg & Sellier, pp. 23-87, 1997.
[11] P. Corbetta, Metodi e tecniche della ricerca sociale, Bologna: Il Mulino. 1999.
[12] V: Vehovar, K. Lozar Manfreda, Overview: Online Surveys, in Fielding N., Lee R. M. Blank, G. The SAGE Handbook of Online Research Methods, London: SAGE, 2008.
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[15] American Association for public opinion research, Social Media in Public Opinion Research: Report of the AAPOR Task Force on Emerging Technologies, in Public Opinion Research, Lenexa (KS), 2014.
[16] R. Bichi, La conduzione delle interviste nella ricerca sociale, Roma: Carocci editore, 2007.
[17] W. Kruskal, F. Mosteller, Representative Sampling, IV: The History of the Concept in Statistics 1895-1939, in «International Statistical review», XLVIII, pp. 169-195, 1980.
[18] A. Marradi, Casualità e rappresentatività di un campione nelle scienze sociali: contributo a una sociologia del linguaggio scientifico, in Mannheimer (a cura di), I sondaggi elettorali e le scienze politiche. Problemi Metodologici, Milano: FrancoAngeli, pp. 51-13, 1989.
[19] A. Marradi, Due famiglie un insieme, in Cipolla C e De Lillo A. (a cura di), Il sociologo e le sirene. La sfida dei metodi qualitativi, Milano: FrancoAngeli, 1996.
[20] M. M. Hayslett, B. M. Wildemuth, Pixels or pencils? The relative effectiveness of Web-based versus paper surveys, in «Library & Information Science Research», 26, 73–93, 2004.
Cite This Article
  • APA Style

    Cleto Corposanto, Beba Molinari. (2015). Chasing a Dragonfly on the Lawn. Science Innovation, 3(4), 39-45. https://doi.org/10.11648/j.si.20150304.11

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    ACS Style

    Cleto Corposanto; Beba Molinari. Chasing a Dragonfly on the Lawn. Sci. Innov. 2015, 3(4), 39-45. doi: 10.11648/j.si.20150304.11

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    AMA Style

    Cleto Corposanto, Beba Molinari. Chasing a Dragonfly on the Lawn. Sci Innov. 2015;3(4):39-45. doi: 10.11648/j.si.20150304.11

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  • @article{10.11648/j.si.20150304.11,
      author = {Cleto Corposanto and Beba Molinari},
      title = {Chasing a Dragonfly on the Lawn},
      journal = {Science Innovation},
      volume = {3},
      number = {4},
      pages = {39-45},
      doi = {10.11648/j.si.20150304.11},
      url = {https://doi.org/10.11648/j.si.20150304.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.si.20150304.11},
      abstract = {In this paper the authors aim to discuss a series of surveys conducted over the past two years through web-survey, through which issues related to eating disorders have been scrutinized with the objective of giving a portrait as to the several aspects concerning those who live in a state of distress by cause of chronic diseases. The methodology employed makes use of statistical techniques widely recognized in the scientific field. The main purpose is to understand if the new techniques of study born to the web 2.0 are valid as classical techniques, with particular attention to the break-off phenomenon (total and partial dropouts) as well as the response and cooperation rates, in order to understand how these may still be valid in contexts web 2.0. The results are encouraging, the rates examined and the percentage emerged from error sampling makes us think that we snatched the dragonfly on the grass.},
     year = {2015}
    }
    

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    T1  - Chasing a Dragonfly on the Lawn
    AU  - Cleto Corposanto
    AU  - Beba Molinari
    Y1  - 2015/09/14
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    AB  - In this paper the authors aim to discuss a series of surveys conducted over the past two years through web-survey, through which issues related to eating disorders have been scrutinized with the objective of giving a portrait as to the several aspects concerning those who live in a state of distress by cause of chronic diseases. The methodology employed makes use of statistical techniques widely recognized in the scientific field. The main purpose is to understand if the new techniques of study born to the web 2.0 are valid as classical techniques, with particular attention to the break-off phenomenon (total and partial dropouts) as well as the response and cooperation rates, in order to understand how these may still be valid in contexts web 2.0. The results are encouraging, the rates examined and the percentage emerged from error sampling makes us think that we snatched the dragonfly on the grass.
    VL  - 3
    IS  - 4
    ER  - 

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Author Information
  • Department of Law and Social Sciences, Magna Graecia University, Catanzaro, Italy

  • Genoa University, DISFOR, Genoa, Italy

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