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A Comparison of Gaussian and Logistic Categorical Opinion Distribution Models

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  • John McKenzie

Abstract

Four models for the analysis of categorical opinion data are described and compared. These include the Successive Intervals model of Guilford (1954) and the SLOLT model of Allnatt (1973), and utilize an underlying continuous opinion distribution which is either Gaussian or logistic. Efficient and semi‐efficient estimation schemes are presented. The fits of the models to two sets of data are compared, and the hypothesis of “equal underlying variances” is investigated.

Suggested Citation

  • John McKenzie, 1975. "A Comparison of Gaussian and Logistic Categorical Opinion Distribution Models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 24(1), pages 112-122, March.
  • Handle: RePEc:bla:jorssc:v:24:y:1975:i:1:p:112-122
    DOI: 10.1111/j.1467-9876.1975.tb00768.x
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