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Scholarly publishing in social sciences and humanities, associated probabilities of belonging and its spectrum: a quantitative approach for the Spanish case

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Listed:
  • Jorge Mañana-Rodríguez

    (Centre for Human and Social Sciences)

  • Elea Giménez-Toledo

    (Centre for Human and Social Sciences)

Abstract

In this study, differences between Spanish social sciences and humanities journals are examined using a quantitative approach. Firstly, using a set of 144 psychology journals and 69 philosophy journals, statistically significant differences have been identified in 11 characteristics/indicators. Secondly, a logistic regression was carried out on the dichotomous response variable “belonging to the social sciences” or “belonging to the humanities”, on 777 Spanish social sciences journals, 563 humanities journals that have been previously classified and 17 existing predictor variables. The regression model reached an overall correct classification of 78.8 %. The explanatory variables considered in the model are analyzed and interpreted taking into account the change in the odds ratio and the indication of their contribution to the correct classification rate in the two response values. Finally the average associated probability of belonging to the social sciences group is calculated for each discipline and reflected in a spectrum of the probability of belonging to the social sciences or the humanities.

Suggested Citation

  • Jorge Mañana-Rodríguez & Elea Giménez-Toledo, 2013. "Scholarly publishing in social sciences and humanities, associated probabilities of belonging and its spectrum: a quantitative approach for the Spanish case," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 893-910, March.
    • Handle: RePEc:spr:scient:v:94:y:2013:i:3:d:10.1007_s11192-012-0838-y
    DOI: 10.1007/s11192-012-0838-y
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    References listed on IDEAS

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    Cited by:

    1. Per Ahlgren & Peter Pagin & Olle Persson & Maria Svedberg, 2015. "Bibliometric analysis of two subdomains in philosophy: free will and sorites," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 47-73, April.

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    More about this item

    Keywords

    Social sciences; Humanities; Quality indicators; Logistic regression; Classification of knowledge;
    All these keywords.

    JEL classification:

    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics

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