Comparing multiple factor analysis and related metric scaling

Primer Autor
Cuadras, Caries M.
Co-autores
Salvo-Garrido, Sonia
Título
Comparing multiple factor analysis and related metric scaling
Editorial
TAYLOR & FRANCIS INC
Revista
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
Lenguaje
en
Resumen
Some statistical models, quite different in the symbolic mathematical sense, may provide similar results. After commenting two probability examples, we comment and compare multiple factor analysis (MFA) with related metric scaling (RMDS), two multivariate procedures dealing with mixed data. Each data set can be quantitative, binary, qualitative or nominal, and has been observed on the same individuals but coming from several sources. Then MFA and RMDS are two approaches for representing the individuals. We study the analogies and differences between both methodologies to guide users interested in performing multidimensional representations of mixed-type data. Though in general MFA and RMDS provide similar results, we prove that RMDS takes into account the association between the different sets of variables, providing, in some cases, better and more coherent representations. We also propose a parametric RMDS which includes MFA as a particular case. Article in memory of John C. Gower (1930-2019).
Fecha Publicación
2022
Tipo de Recurso
artículo original
Derecho de Acceso
Registro bibliográfico
doi
10.1080/03610918.2019.1694949
Formato Recurso
PDF
Palabras Claves
Mixed data
Multi-dimensional scaling
Multiple factor analysis
Related metric scaling
Statistical distances
Ubicación del archivo
Categoría OCDE
Matemáticas
Estadísticas y Probabilidades
Materias
Datos mixtos
Escalamiento multidimensional
Análisis factorial múltiple
Escalado de métricas relacionadas
Distancias estadísticas
Página de inicio (Recomendado-único)
2343.0
Página final (Recomendado-único)
2362
Identificador del recurso (Mandatado-único)
artículo original
Versión del recurso (Recomendado-único)
versión publicada
Derechos de acceso
metadata
Access Rights
metadata
versión publicada
Id de Web of Science
WOS:000499160700001
ISSN
0361-0918
Tipo de ruta
hibrido
Categoría WOS
Matemáticas
Referencia del Financiador (Mandatado si es aplicable-repetible)
ANID FONDECYT 1160429
MCIU/AEI/FEDER RTI2018-095518-B-C22
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