Journal of Classification

, Volume 14, Issue 2, pp 327–330 | Cite as

Measurement in information science

Bert R. Boyce, Charles T. Meadow, and Donald H. Kraft, Academic Press, 1994, pp. xvii + 283
  • David Dubin
Book Reviews


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


  1. ALDENDERFER, M. S., and BLASHFIELD, R. K. (1984), “Quantitative Applications in the Social Sciences. Cluster Analysis,” Sage Publications.Google Scholar
  2. 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.Google Scholar
  3. CLIFF, N. (1992), “Abstract Measurement Theory and the Revolution that Never Happened”,Psychological Science, 3(3), 186–190.CrossRefGoogle Scholar
  4. EISENBERG, M. B. (1988), “Measuring Relevance Judgments”,Information Processing and Management, 24(4), 373–389.CrossRefMathSciNetGoogle Scholar
  5. 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.CrossRefGoogle Scholar
  6. 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.Google Scholar
  7. MICHELL, J. (1986), “Measurement Scales and Statistics: A Clash of Paradigms,”Psychological Bulletin, 100(3), 398–407.CrossRefGoogle Scholar
  8. MICHELL, J. (1990),An Introduction to the Logic of Psychological Measurement, Lawrence Erlbaum Associates.Google Scholar
  9. RASMUSSEN, E. (1992), “Clustering Algorithms,” inInformation Retrieval: Data Structures and Algorithms, Eds., W. B. Frakes and R. Baeza-Yates, Prentice Hall.Google Scholar
  10. RORVIG, M. E. (1988), “Psychometric Measurement and Information Retrieval,”Annual Review of Information Science and Technology, Ed., M. E. Williams, Elsevier Science Publishers.Google Scholar
  11. RORVIG, M. E. (1990), “The Simple Scalability of Documents,”Journal of the American Society for Information Science, 41(8), 590–598.CrossRefGoogle Scholar
  12. SALTON, G., and M. J. MCGILL (1983),Introduction to Modern Information Retrieval, McGraw-Hill Book Company.Google Scholar
  13. STEVENS, S. S. (1959), “Measurement, Psychophysics, and Utility,” inMeasurement Definitions and Theories, Eds., C. W. Churchman and P. Ratoosh, John Wiley and Sons, Inc.Google Scholar
  14. VAN RIJSBERGEN, C. J. (1979),Information Retrieval, Butterworths.Google Scholar
  15. WILLETT, P. (1988), “Recent Trends in Hierarchic Document Clustering: A Critical Review,”Information Processing and Management, 24(5), 577–597.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 1997

Authors and Affiliations

  • David Dubin
    • 1
  1. 1.University of IllinoisUSA

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