The choice of constraints in correspondence analysis
type: Item
instance of: scholarly article
title: The choice of constraints in correspondence analysis
zbMATH Open document ID: 0632.62055
DOI: 10.1007/BF02294235
author: Harvey Goldstein
published in: Psychometrika
publication date: 1987-01-01T00:00:00Z
review text: A discussion of alternative constraint systems has been lacking in the literature on correspondence analysis and related techniques. This paper reiterates earlier results that an explicit choice of constraints has to be made which can have important effects on the resulting scores. The paper also presents new results on dealing with missing data and probabilistic category assignment.
Mathematics Subject Classification ID: 62H25
Mathematics Subject Classification ID: 62H99
zbMATH DE Number: 4028651
zbMATH Keywords: dual scaling
zbMATH Keywords: optimal scaling
zbMATH Keywords: correspondence analysis
zbMATH Keywords: choice of constraints
zbMATH Keywords: resulting scores
zbMATH Keywords: missing data
zbMATH Keywords: probabilistic category assignment
MaRDI profile type: Publication
cites work: Q3218904
cites work: An approach to the scaling of categorized attributes
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cites work: Q3948432
cites work: An analysis and synthesis of multiple correspondence analysis, optimal scaling, dual scaling, homogeneity analysis and other methods for quantifying categorical multivariate data
full work available at URL: https://doi.org/10.1007/bf02294235
OpenAlex ID: W2096043297
description: scientific article; zbMATH DE number 4028651