A Method of Optimal Scaling for Multivariate Ordinal Data and Its Extensions.

Saito, Takayuki; Otsu, Tatsuo

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Peer reviewed

ERIC Number: EJ379455

Record Type: Journal

Publication Date: 1988

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A Method of Optimal Scaling for Multivariate Ordinal Data and Its Extensions.

Saito, Takayuki; Otsu, Tatsuo

Psychometrika, v53 n1 p5-25 Mar 1988

A method of optimal scaling for multivariate ordinal data--OSMOD--is described, within a generalized principal component analysis. It yields a: multidimensional configuration of items, unidimensional scale of category weights for each item, and multidimensional configuration of subjects. OSMOD involves solving an eigenvalue problem and executing a quasi-Newton projection method. (TJH)

Descriptors: Equations (Mathematics), Evaluation Methods, Multidimensional Scaling, Projective Measures, Research Methodology

Publication Type: Journal Articles; Reports - Research

Education Level: N/A

Audience: N/A

Language: English

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