Ordinal data - Open Access .click

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A note on the ordinal canonical correlation analysis of two sets of ranking scores [PDF]

In this paper we have proposed a method to conduct the ordinal canonical correlation analysis (OCCA) that yields ordinal canonical variates and the coefficient of correlation between them, which is analogous to (and a generalization of) the rank ...
Mishra, SK
core +1 more source

Advancing European Plant Variety Registration: Data‐Driven Insights and Stakeholder Perspectives

Agribusiness, EarlyView.
ABSTRACT Efficient plant variety registration is crucial for fostering innovation in the European Union, yet the current regulatory framework is complex and faces calls for reform. This study provides data‐driven evidence to inform the ongoing legislative debate by employing a mixed‐methods approach.
Sergio Urioste Daza +2 more
wiley +1 more source

Factor Analysis Biplots for Continuous, Binary and Ordinal Data

Stats
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 ...
Marina Valdés-Rodríguez +2 more
doaj +1 more source

Partial Identification of Latent Correlations with Ordinal Data. [PDF]

Psychometrika, 2023
Moss J, Grønneberg S.
europepmc +1 more source

Data analysis with ordinal and interval dependent variables: examples from a study of real estate salespeople [PDF]

This paper re-examines the problems of estimating the parameters of an underlying linear model using survey response data in which the dependent variables are in discrete categories of ascending order (ordinal, as distinct from numerical) or, where they ...
Barry E. Langford, G. Martin Izzo
core

The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry

Agribusiness, EarlyView.
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley +1 more source

Polychoric Correlation With Ordinal Data in Nursing Research. [PDF]

Nurs Res, 2022
Kiwanuka F +4 more
europepmc +1 more source

Generating ordinal data

, 2010
In the recent years, a great interest has been devoted by researchers to categorical data and the related statistical methods employed for their joint analysis. Specifically in explorative analysis, the robustness and performance of these techniques can be assessed almost exclusively through simulation studies, which require to generate a huge number ...
P.A. Ferrari, A. Barbiero
openaire +1 more source

BMPCQA: Bioinspired Metaverse Point Cloud Quality Assessment Based on Large Multimodal Models

Advanced Intelligent Systems, EarlyView.
This study presents a bioinspired metaverse point cloud quality assessment metric, which simulates the human visual evaluation process to perform the point cloud quality assessment task. It first extracts rendering projection video features, normal image features, and point cloud patch features, which are then fed into a large multimodal model to ...
Huiyu Duan +7 more
wiley +1 more source

Logistic Biplots for Ordinal Variables Based on Alternating Gradient Descent on the Cumulative Probabilities, with an Application to Survey Data

Algorithms
Biplot methods provide a framework for the simultaneous graphical representation of both rows and columns of a data matrix. Classical biplots were originally developed for continuous data in conjunction with principal component analysis (PCA).
Julio C. Hernández-Sánchez +3 more
doaj +1 more source

machine learning
factor analysis