IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v93y2012i2d10.1007_s11192-012-0673-1.html
   My bibliography  Save this article

Science as instrumentation. The case for psychiatric rating scales

Author

Listed:
  • Philippe Moigne

    (Université Paris V, Sorbonne Paris Cité
    Université Paris 5-René Descartes)

  • Pascal Ragouet

    (Université Segalen Bordeaux 2)

Abstract

The aim of this article is to test the model analysis conceived by Terry Shinn on the autonomy and unity of science. For him, the differentiation of sciences can be explained in a large part by the diffusion of generic instruments created by research-technologists moving in interstitial arenas between higher education, industry, statistics institutes or the military. We have applied this analysis to research on depression by making the hypothesis that psychiatric rating scales could have played a similar role in the development of this scientific field. To that purpose, we proceeded to a lexicographic study of keywords mentioned in articles listed by the PsycINFO© data base on this subject between 1950 and 2000. In order to realize an associated words analysis, we constructed a co-occurrence matrix and used clustering analysis based on a grouping index; that is, the equivalency index. We obtained significant aggregates of keywords associated with significant periods, or major moments, of the development of research on depression. This periodization confirmed the structural role played by psychiatric rating scales in the development of this scientific field, and led us to discuss and to extend some elements of the model initiated by Shinn.

Suggested Citation

  • Philippe Moigne & Pascal Ragouet, 2012. "Science as instrumentation. The case for psychiatric rating scales," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(2), pages 329-349, November.
    • Handle: RePEc:spr:scient:v:93:y:2012:i:2:d:10.1007_s11192-012-0673-1
    DOI: 10.1007/s11192-012-0673-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-012-0673-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-012-0673-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jouko Miettunen & Pentti Nieminen, 2003. "The effect of statistical methods and study reporting characteristics on the number of citations: A study of four general psychiatric journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 57(3), pages 377-388, July.
    2. Neal Coulter & Ira Monarch & Suresh Konda, 1998. "Software engineering as seen through its research literature: A study in co‐word analysis," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(13), pages 1206-1223.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. W. W. Koczkodaj & T. Kakiashvili & A. Szymańska & J. Montero-Marin & R. Araya & J. Garcia-Campayo & K. Rutkowski & D. Strzałka, 2017. "How to reduce the number of rating scale items without predictability loss?," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 581-593, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Santana, Monica & Cobo, Manuel J., 2020. "What is the future of work? A science mapping analysis," European Management Journal, Elsevier, vol. 38(6), pages 846-862.
    2. Kong, Ling & Wang, Dongbo, 2020. "Comparison of citations and attention of cover and non-cover papers," Journal of Informetrics, Elsevier, vol. 14(4).
    3. Chang-Ping Hu & Ji-Ming Hu & Sheng-Li Deng & Yong Liu, 2013. "A co-word analysis of library and information science in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 369-382, November.
    4. repec:ehu:cuader:55444 is not listed on IDEAS
    5. Joel O. Botai & Christina M. Botai & Katlego P. Ncongwane & Sylvester Mpandeli & Luxon Nhamo & Muthoni Masinde & Abiodun M. Adeola & Michael G. Mengistu & Henerica Tazvinga & Miriam D. Murambadoro & S, 2021. "A Review of the Water–Energy–Food Nexus Research in Africa," Sustainability, MDPI, vol. 13(4), pages 1-26, February.
    6. Hanen Khaldi & Vicente Prado-Gascó, 2021. "Bibliometric maps and co-word analysis of the literature on international cooperation on migration," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(5), pages 1845-1869, October.
    7. Mingyang Wang & Zhenyu Wang & Guangsheng Chen, 2019. "Which can better predict the future success of articles? Bibliometric indices or alternative metrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1575-1595, June.
    8. Li, Qing & Zhang, Huaige & Hong, Xianpei, 2020. "Knowledge structure of technology licensing based on co-keywords network: A review and future directions," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 154-165.
    9. Sung Kim & Derek Hansen & Richard Helps, 2018. "Computing research in the academy: insights from theses and dissertations," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 135-158, January.
    10. Mónica Santana & Rafael Morales-Sánchez & Susana Pasamar, 2020. "Mapping the Link between Corporate Social Responsibility (CSR) and Human Resource Management (HRM): How Is This Relationship Measured?," Sustainability, MDPI, vol. 12(4), pages 1-28, February.
    11. Wei Zhang & Qingpu Zhang & Bo Yu & Limei Zhao, 2015. "Knowledge map of creativity research based on keywords network and co-word analysis, 1992–2011," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(3), pages 1023-1038, May.
    12. Belfiore, Alessandra & Cuccurullo, Corrado & Aria, Massimo, 2022. "IoT in healthcare: A scientometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    13. Massimo Aria & Michelangelo Misuraca & Maria Spano, 2020. "Mapping the Evolution of Social Research and Data Science on 30 Years of Social Indicators Research," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(3), pages 803-831, June.
    14. S. Ravikumar & Ashutosh Agrahari & S. N. Singh, 2015. "Mapping the intellectual structure of scientometrics: a co-word analysis of the journal Scientometrics (2005–2010)," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 929-955, January.
    15. Koseoglu, Mehmet Ali & Rahimi, Roya & Okumus, Fevzi & Liu, Jingyan, 2016. "Bibliometric studies in tourism," Annals of Tourism Research, Elsevier, vol. 61(C), pages 180-198.
    16. Xu, Haiyun & Winnink, Jos & Yue, Zenghui & Liu, Ziqiang & Yuan, Guoting, 2020. "Topic-linked innovation paths in science and technology," Journal of Informetrics, Elsevier, vol. 14(2).
    17. Huichen Gao & Shijuan Wang, 2022. "The Intellectual Structure of Research on Rural-to-Urban Migrants: A Bibliometric Analysis," IJERPH, MDPI, vol. 19(15), pages 1-19, August.
    18. Eva-María Mora-Valentín & Marta Ortiz-de-Urbina-Criado & Juan-José Nájera-Sánchez, 2018. "Mapping the conceptual structure of science and technology parks," The Journal of Technology Transfer, Springer, vol. 43(5), pages 1410-1435, October.
    19. Ruben Heradio & David Fernandez-Amoros & Cristina Cerrada & Manuel J. Cobo, 2020. "Group Decision-Making Based on Artificial Intelligence: A Bibliometric Analysis," Mathematics, MDPI, vol. 8(9), pages 1-20, September.
    20. Tamara Poje & Maja Zaman Groff, 2022. "Mapping Ethics Education in Accounting Research: A Bibliometric Analysis," Journal of Business Ethics, Springer, vol. 179(2), pages 451-472, August.
    21. Seguí-Mas Elies & Jiménez-Arribas Irene & Tormo-Carbó Guillermina, 2019. "Does the Environment Matter? Mapping Academic Knowledge on Entrepreneurial Ecosystems in GEM," Entrepreneurship Research Journal, De Gruyter, vol. 9(2), pages 1-19, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:93:y:2012:i:2:d:10.1007_s11192-012-0673-1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.