A Comparison of Gaussian and Logistic Categorical Opinion Distribution Models

John McKenzie

Journal of the Royal Statistical Society Series C, 1975, vol. 24, issue 1, 112-122

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.

Date: 1975
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