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Uniqueness of Three-Mode Factor Models with Sparse Cores: The 3 × 3 × 3 Case

Published online by Cambridge University Press:  01 January 2025

Henk A. L. Kiers*
Affiliation:
University of Groningen
Jos M. F. ten Berge
Affiliation:
University of Groningen
Roberto Rocci
Affiliation:
University la Sapienza, Rome
*
Requests for reprints should be sent to Henk A. L. Kiers, Grote Kruisstraat 2/1, 9712 TS Groningen, THE NETHERLANDS.

Abstract

Three-Mode Factor Analysis (3MFA) and PARAFAC are methods to describe three-way data. Both methods employ models with components for the three modes of a three-way array; the 3MFA model also uses a three-way core array for linking all components to each other. The use of the core array makes the 3MFA model more general than the PARAFAC model (thus allowing a better fit), but also more complicated. Moreover, in the 3MFA model the components are not uniquely determined, and it seems hard to choose among all possible solutions. A particularly interesting feature of the PARAFAC model is that it does give unique components. The present paper introduces a class of 3MFA models in between 3MFA and PARAFAC that share the good properties of the 3MFA model and the PARAFAC model: They fit (almost) as well as the 3MFA model, they are relatively simple and they have the same uniqueness properties as the PARAFAC model.

Information

Type
Original Paper
Copyright
Copyright © 1997 The Psychometric Society

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