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  • 1985-1989  (1)
  • minimum discrimination information  (1)
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    Electronic Resource
    Electronic Resource
    An entropy approach to the scaling of ordinal categorical data (1989)
    Springer
    Psychometrika 54 (1989), S. 203-215 
    Details
    ISSN: 1860-0980
    Keywords: ordinal categorical data ; entropy ; minimum discrimination information ; scaling ; convex programming
    Source: Springer Online Journal Archives 1860-2000
    Topics: Psychology
    Notes: Abstract This paper studies the problem of scaling ordinal categorical data observed over two or more sets of categories measuring a single characteristic. Scaling is obtained by solving a constrained entropy model which finds the most probable values of the scales given the data. A Kullback-Leibler statistic is generated which operationalizes a measure for the strength of consistency among the sets of categories. A variety of data of two and three sets of categories are analyzed using the entropy approach.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02294515
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