Mathematical Formulation of Multivariate Euclidean Models for Discrimination Methods.

Mullen, Kenneth; Ennis, Daniel M.

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Peer reviewed

ERIC Number: EJ360167

Record Type: CIJE

Publication Date: 1987

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Mathematical Formulation of Multivariate Euclidean Models for Discrimination Methods.

Mullen, Kenneth; Ennis, Daniel M.

Psychometrika, v52 n2 p235-49 Jun 1987

Multivariate models for the triangular and duo-trio methods are described, and theoretical methods are compared to a Monte Carlo simulation. Implications are discussed for a new theory of multidimensional scaling which challenges the traditional assumption that proximity measures and perceptual distances are monotonically related. (Author/GDC)

Descriptors: Mathematical Models, Monte Carlo Methods, Multidimensional Scaling

Publication Type: Journal Articles; Reports - Research

Education Level: N/A

Audience: N/A

Language: English

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