Skip to main content
Log in

Measurement in information science

Bert R. Boyce, Charles T. Meadow, and Donald H. Kraft, Academic Press, 1994, pp. xvii + 283

  • Book Reviews
  • Published:
Journal of Classification Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Reference

  • Bert R. Boyce, Charles T. Meadow, and Donald H. Kraft, Measurement in Information Science,Academic Press, 1994, pp. xvii+283

References

  • ALDENDERFER, M. S., and BLASHFIELD, R. K. (1984), “Quantitative Applications in the Social Sciences. Cluster Analysis,” Sage Publications.

  • CLIFF, N. (1982), “What is and isn’t measurement,” inStatistical and Methodological Issues in Psychology and Social Sciences Research, Ed., G. Keren, Lawrence Erlbaum Associates.

  • CLIFF, N. (1992), “Abstract Measurement Theory and the Revolution that Never Happened”,Psychological Science, 3(3), 186–190.

    Article  Google Scholar 

  • EISENBERG, M. B. (1988), “Measuring Relevance Judgments”,Information Processing and Management, 24(4), 373–389.

    Article  MathSciNet  Google Scholar 

  • JONES, W. P., and FURNAS, G. W. (1987), “Pictures of Relevance: A Geometric Analysis of Similarity Measures”Journal of the American Society for Information Science, 38(6), 420–443.

    Article  Google Scholar 

  • KRANTZ, D. H. (1991), “From Indices to Mappings: the Representational Approach to Measurement”, inFrontiers of Mathematical Psychology, Eds. D. R. Brown and J. E. K. Smith, Springer-Verlag.

  • MICHELL, J. (1986), “Measurement Scales and Statistics: A Clash of Paradigms,”Psychological Bulletin, 100(3), 398–407.

    Article  Google Scholar 

  • MICHELL, J. (1990),An Introduction to the Logic of Psychological Measurement, Lawrence Erlbaum Associates.

  • RASMUSSEN, E. (1992), “Clustering Algorithms,” inInformation Retrieval: Data Structures and Algorithms, Eds., W. B. Frakes and R. Baeza-Yates, Prentice Hall.

  • RORVIG, M. E. (1988), “Psychometric Measurement and Information Retrieval,”Annual Review of Information Science and Technology, Ed., M. E. Williams, Elsevier Science Publishers.

  • RORVIG, M. E. (1990), “The Simple Scalability of Documents,”Journal of the American Society for Information Science, 41(8), 590–598.

    Article  Google Scholar 

  • SALTON, G., and M. J. MCGILL (1983),Introduction to Modern Information Retrieval, McGraw-Hill Book Company.

  • STEVENS, S. S. (1959), “Measurement, Psychophysics, and Utility,” inMeasurement Definitions and Theories, Eds., C. W. Churchman and P. Ratoosh, John Wiley and Sons, Inc.

  • VAN RIJSBERGEN, C. J. (1979),Information Retrieval, Butterworths.

  • WILLETT, P. (1988), “Recent Trends in Hierarchic Document Clustering: A Critical Review,”Information Processing and Management, 24(5), 577–597.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Dubin, D. Measurement in information science. Journal of Classification 14, 327–330 (1997). https://doi.org/10.1007/BF03036411

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF03036411

Navigation