Brief communication: using the Mann-Whitney test on informetric data

  • Authors:

  • John C. Huber;Roland Wagner-Döbler

  • Affiliations:

  • Institute for Invention and Innovation, Austin, TX;Institute of Library Science, Humboldt University, Berlin, Germany

  • Venue:
  • Journal of the American Society for Information Science and Technology
  • Year:
  • 2003

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Abstract

The fields of informetrics and scientometrics have suffered from the lack of a powerful test to detect the differences between two samples. We show that the Mann-Whitney test is a good test on the publication productivity of journals and of authors. Its main limitation is a lack of power on small samples that have small differences. This is not the fault of the test, but rather reflects the fact that small, similar samples have little to distinguish between them.