IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v102y2015i1d10.1007_s11192-014-1429-x.html
   My bibliography  Save this article

Exploring a prototype framework of web-based and peer-reviewed “European Educational Research Quality Indicators” (EERQI)

Author

Listed:
  • Ton Mooij

    (Radboud University Nijmegen (ITS)
    Open Universiteit in the Netherlands (Welten Institute)
    Radboud University, ITS)

Abstract

Digitization, the Internet, and information or webometric interdisciplinary approaches are affecting the fields of Scientometrics and Library and Information Science. These new approaches can be used to improve citation-only procedures to estimate the quality and impact of research. A European pilot to explore this potential was called “European Educational Research Quality Indicators” (EERQI, FP7 # 217549). An interdisciplinary consortium was involved from 2008 to 2011. Different types of indicators were developed to score 171 educational research documents. Extrinsic bibliometric and citation indicators were collected from the Internet for each document; intrinsic indicators reflecting content-based quality were developed and relevant data gathered by peer review. Exploratory and confirmatory factor analysis and structural modeling were used to explore statistical relationships among latent factors or concepts and their indicators. Three intrinsic and two extrinsic latent factors were found to be relevant. Moreover, the more a document was related to a reviewer’s own area of research, the higher the score the reviewer gave concerning (1) significance, originality, and consistency, and (2) methodological adequacy. The conclusions are that a prototype EERQI framework has been constructed: intrinsic quality indicators add specific information to extrinsic quality or impact indicators, and vice versa. Also, a problem of “objective” impact scores is that they are based on “subjective” or biased peer-review scores. Peer-review, which is foundational to having a work cited, seems biased and this bias should be controlled or improved by more refined estimates of quality and impact of research. Some suggestions are given and limitations of the pilot are discussed. As the EERQI development approach, instruments, and tools are new, they should be developed further.

Suggested Citation

  • Ton Mooij, 2015. "Exploring a prototype framework of web-based and peer-reviewed “European Educational Research Quality Indicators” (EERQI)," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 1037-1055, January.
    • Handle: RePEc:spr:scient:v:102:y:2015:i:1:d:10.1007_s11192-014-1429-x
    DOI: 10.1007/s11192-014-1429-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-014-1429-x
    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/s11192-014-1429-x?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Fatemeh Rostami & Asghar Mohammadpoorasl & Mohammad Hajizadeh, 2014. "The effect of characteristics of title on citation rates of articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 2007-2010, March.
    2. Timothy D. Fry & Joan M. Donohue, 2014. "Exploring the Author Affiliation Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1647-1667, March.
    3. Eleni Fragkiadaki & Georgios Evangelidis, 2014. "Review of the indirect citations paradigm: theory and practice of the assessment of papers, authors and journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 261-288, May.
    4. Juan Miguel Campanario, 2014. "The effect of citations on the significance of decimal places in the computation of journal impact factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 289-298, May.
    5. Xinning Su & Sanhong Deng & Si Shen, 2014. "The design and application value of the Chinese Social Science Citation Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1567-1582, March.
    6. Kun Lu & Isola Ajiferuke & Dietmar Wolfram, 2014. "Extending citer analysis to journal impact evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 245-260, July.
    7. Daniel Teodorescu & Tudorel Andrei, 2014. "An examination of “citation circles” for social sciences journals in Eastern European countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 209-231, May.
    8. M. A. Martínez & M. Herrera & J. López-Gijón & E. Herrera-Viedma, 2014. "H-Classics: characterizing the concept of citation classics through H-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1971-1983, March.
    9. Salih Selek & Ayman Saleh, 2014. "Use of h index and g index for American academic psychiatry," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 541-548, May.
    10. David Gunnarsson Lorentzen, 2014. "Webometrics benefitting from web mining? An investigation of methods and applications of two research fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 409-445, May.
    11. George A. Barnett & Han Woo Park & Ke Jiang & Chuan Tang & Isidro F. Aguillo, 2014. "A multi-level network analysis of web-citations among the world’s universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 5-26, April.
    Full references (including those not matched with items on IDEAS)

    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. Olga Moskaleva & Vladimir Pislyakov & Ivan Sterligov & Mark Akoev & Svetlana Shabanova, 2018. "Russian Index of Science Citation: Overview and review," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 449-462, July.
    2. Cristina López-Duarte & Marta M. Vidal-Suárez & Belén González-Díaz, 2018. "The early adulthood of the Asia Pacific Journal of Management: A literature review 2005–2014," Asia Pacific Journal of Management, Springer, vol. 35(2), pages 313-345, June.
    3. Cristina López-Duarte & Marta M. Vidal-Suárez & Belén González-Díaz, 2019. "Cross-national distance and international business: an analysis of the most influential recent models," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 173-208, October.
    4. Ruan, Xuanmin & Zhu, Yuanyang & Li, Jiang & Cheng, Ying, 2020. "Predicting the citation counts of individual papers via a BP neural network," Journal of Informetrics, Elsevier, vol. 14(3).
    5. Antonio Fernandez-Cano & Inés M. Fernández-Guerrero, 2017. "A multivariate model for evaluating emergency medicine journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 991-1003, February.
    6. Rabishankar Giri & Sabuj Kumar Chaudhuri, 2021. "Ranking journals through the lens of active visibility," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2189-2208, March.
    7. Lakshmi Balachandran Nair & Michael Gibbert, 2016. "What makes a ‘good’ title and (how) does it matter for citations? A review and general model of article title attributes in management science," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1331-1359, June.
    8. Chao Min & Qingyu Chen & Erjia Yan & Yi Bu & Jianjun Sun, 2021. "Citation cascade and the evolution of topic relevance," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(1), pages 110-127, January.
    9. Cristina López-Duarte & Jane F. Maley & Marta M. Vidal-Suárez, 2021. "Main challenges to international student mobility in the European arena," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 8957-8980, November.
    10. Dong-Hui Yang & Xin Li & Xiaoxia Sun & Jie Wan, 2016. "Detecting impact factor manipulation with data mining techniques," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1989-2005, December.
    11. repec:plo:pone00:0155097 is not listed on IDEAS
    12. Matthias Gnewuch & Klaus Wohlrabe, 2017. "Title characteristics and citations in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1573-1578, March.
    13. Hyejin Park & Han Woo Park, 2018. "Two-side face of knowledge building using scientometric analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(6), pages 2815-2836, November.
    14. Jozef Kapusta & Michal Munk & Martin Drlik, 2018. "Website Structure Improvement Based on the Combination of Selected Web Structure and Web Usage Mining Methods," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(06), pages 1743-1776, November.
    15. Yuanyuan Liu & Qiang Wu & Shijie Wu & Yong Gao, 2021. "Weighted citation based on ranking-related contribution: a new index for evaluating article impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8653-8672, October.
    16. Omar Hernando Avila-Poveda, 2014. "Technical report: the trend of author compound names and its implications for authorship identity identification," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 833-846, October.
    17. Liu Yang & Keping Li & Hangfei Huang, 2018. "A new network model for extracting text keywords," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 339-361, July.
    18. Thamyres T. Choji & Manuel J. Cobo & Jose A. Moral-Munoz, 2024. "Is the scientific impact of the LIS themes gender-biased? A bibliometric analysis of the evolution, scientific impact, and relative contribution by gender from 2007 to 2022," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(10), pages 6023-6047, October.
    19. Carlo Galli & Stefano Guizzardi, 2021. "The Effect of Article Characteristics on Citation Number in a Diachronic Dataset of the Biomedical Literature on Chronic Inflammation: An Analysis by Ensemble Machines," Publications, MDPI, vol. 9(2), pages 1-11, April.
    20. A. Velez-Estevez & P. García-Sánchez & J. A. Moral-Munoz & M. J. Cobo, 2022. "Why do papers from international collaborations get more citations? A bibliometric analysis of Library and Information Science papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7517-7555, December.
    21. Frode Eika Sandnes, 2021. "A bibliometric study of human–computer interaction research activity in the Nordic-Baltic Eight countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4733-4767, June.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:102:y:2015:i:1:d:10.1007_s11192-014-1429-x. 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.