Journal of Data and Information Science ›› 2022, Vol. 7 ›› Issue (4): 5-15.doi: 10.2478/jdis-2022-0021

• Letter • Previous Articles     Next Articles

Confidence Intervals for Relative Intensity of Collaboration (RIC) Indicators

Joel Emanuel Fuchs1, Lawrence Smolinsky2, Ronald Rousseau3,4,()   

  1. 1University of Wuppertal, Gaußstr. 20, D-42119 Wuppertal, Germany
    2Louisiana State University, Department of Mathematics, Baton Rouge, Los Angeles, USA
    3University of Antwerp, Faculty of Social Sciences, Middelheimlaan 1, B-2020 Antwerp, Belgium
    4KU Leuven, Facultair Onderzoekscentrum ECOOM, Naamsestraat 61, B-3000 Leuven, Belgium
  • Received:2022-07-30 Revised:2022-09-27 Accepted:2022-09-27 Published:2022-11-11
  • Contact: Ronald Rousseau E-mail:ronald.rousseau@kuleuven.be

Abstract:

Purpose: We aim to extend our investigations related to the Relative Intensity of Collaboration (RIC) indicator, by constructing a confidence interval for the obtained values.

Design/methodology/approach: We use Mantel-Haenszel statistics as applied recently by Smolinsky, Klingenberg, and Marx.

Findings: We obtain confidence intervals for the RIC indicator

Research limitations: It is not obvious that data obtained from the Web of Science (or any other database) can be considered a random sample.

Practical implications: We explain how to calculate confidence intervals. Bibliometric indicators are more often than not presented as precise values instead of an approximation depending on the database and the time of measurement. Our approach presents a suggestion to solve this problem.

Originality/value: Our approach combines the statistics of binary categorical data and bibliometric studies of collaboration.

Key words: Contingency tables, Confidence intervals, Relative intensity of collaboration (RIC), Mantel-Haenszel statistics, Science of science