Confidence Intervals for Relative Intensity of Collaboration (RIC) Indicators
| Oct 19, 2022
Article Category: Letter
Published Online: Oct 19, 2022
Page range: 5 - 15
Received: Jul 30, 2022
Accepted: Sep 27, 2022
DOI: https://doi.org/10.2478/jdis-2022-0021
Keywords
© 2022 Joel Emanuel Fuchs et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
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.