Factor Analysis Biplots for Continuous, Binary and Ordinal Data

This article presents biplots derived from factor analysis of correlation matrices for both continuous and ordinal data. It introduces biplots specifically designed for factor analysis, detailing the geometric interpretation for each data type and providing an algorithm to compute biplot coordinates from the factorization of correlation matrices. The theoretical developments are illustrated using a real dataset that explores the relationship between volunteering, political ideology, and civic engagement in Spain.

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Publication Details

Journal
Stats
Published
2025-11-25
DOI
https://doi.org/10.3390/stats8040112
Citations
1
Primary Topic
Sensory Analysis and Statistical Methods
Type
article
Field-Weighted Citation Impact
1.16
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article

Factor Analysis Biplots for Continuous, Binary and Ordinal Data

José Luis Vicente Villardón, Laura Vicente-González, Marina Valdés-Rodríguez
1 citations
Stats
Sensory Analysis and Statistical Methods
1.16
article

Factor Analysis Biplots for Continuous, Binary and Ordinal Data

José Luis Vicente Villardón, Laura Vicente-González, Marina Valdés-Rodríguez
article en
1 citations

Abstract

This article presents biplots derived from factor analysis of correlation matrices for both continuous and ordinal data. It introduces biplots specifically designed for factor analysis, detailing the geometric interpretation for each data type and providing an algorithm to compute biplot coordinates from the factorization of correlation matrices. The theoretical developments are illustrated using a real dataset that explores the relationship between volunteering, political ideology, and civic engagement in Spain.

StatsVol. 8(4)
Universidad de Salamanca (ES)
Openalex Percentile: Top 16%
Sensory Analysis and Statistical Methods
1.16
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