A maximum likelihood solution for the method of successive intervals allowing for unequal stimulus dispersions
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Publication:2533839
DOI10.1007/BF02289654zbMath0178.23203MaRDI QIDQ2533839
Peter H. Schönemann, Ledyard R. Tucker
Publication date: 1967
Published in: Psychometrika (Search for Journal in Brave)
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A model-based approach for visualizing the dimensional structure of ordered successive categories preference data ⋮ Sufficient conditions for the uniqueness of parameter estimates from binary-response data ⋮ A maximum likelihood method for fitting the wandering vector model ⋮ The method of constant stimuli with two or more categories of response ⋮ The effect of number of categories in rating scales on precision of estimation of scale values
Cites Work
- The estimation of the discriminal dispersion in the method of successive intervals
- The law of comparative judgement in the successive intervals and graphic rating scale methods
- The validity of the successive intervals method of psychometric scaling
- A general least squares solution for successive intervals
- Note on the least squares solution for the method of successive categories
- An axiomatic formulation and generalization of successive intervals scaling
- A least squares solution for successive intervals assuming unequal standard deviations
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