Results 11 to 20 of about 158,629 (258)
Bivariate Distributions Underlying Responses to Ordinal Variables
Psych, 2021 The association between two ordinal variables can be expressed with a polychoric correlation coefficient. This coefficient is conventionally based on the assumption that responses to ordinal variables are generated by two underlying continuous latent ...
Laura Kolbe, Frans Oort, Suzanne Jak
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Graphical Models for Ordinal Data. [PDF]
J Comput Graph Stat, 2015 A graphical model for ordinal variables is considered, where it is assumed that the data are generated by discretizing the marginal distributions of a latent multivariate Gaussian distribution. The relationships between these ordinal variables are then described by the underlying Gaussian graphical model and can be inferred by estimating the ...
Guo J, Levina E, Michailidis G, Zhu J.
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Archetypal analysis for ordinal data
Information Sciences, 2021 Daniel Fernández was supported by the grant 2017 SGR 622 (GRBIO) administrated by the Departament d’Economia i Coneixement de la Generalitat de Catalunya (Spain). Daniel Fernández and Louise Fastier McMillan were supported by the Marsden Grant E2987-3648 administrated by the Royal Society of New Zealand.
Daniel Fernández +2 more
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Mixture Models for Ordinal Data [PDF]
Sociological Methods & Research, 2010 Cumulative probability models are widely used for the analysis of ordinal data. In this article the authors propose cumulative probability mixture models that allow the assumptions of the cumulative probability model to hold within subsamples of the data. The subsamples are defined in terms of latent class membership.
Breen, R., Luijkx, R.
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Model-Assisted and Model-Calibrated Estimation for Class Frequencies with Ordinal Outcomes
Revstat Statistical Journal, 2022 This paper considers new techniques for complex surveys in the case of estimation of proportions when the variable of interest has ordinal outcomes. Ordinal modelassisted and ordinal model-calibrated estimators are introduced for class frequencies in a ...
Maria del Mar Rueda +3 more
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Ordinalysis: Interpretability of multidimensional ordinal data
SoftwareX, 2023 Ordinalysis is a software that enables dimension reduction, visualization and quantitative ordinality analysis of ordinal data. It is provided as a standalone executable file with a video tutorial.
Mouad Zine-El-Abidine +2 more
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Ordinal and symbolic data analysis [PDF]
Discrete Applied Mathematics, 2005 info:eu-repo/semantics ...
Jean-Paul Doignon, Marc Pirlot
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Frontiers in Marine Science, 2021 Species distribution model (SDM) is a crucial tool for forecasting ranges of species and mirroring habitat references and quality. Different types of species distribution data have been commonly used in SDMs regarding different purposes and availability,
Jing Luan +7 more
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Comparing distributions of ordinal data [PDF]
The Stata Journal: Promoting communications on statistics and Stata, 2020 To compare distributions of ordinal data such as individuals’ responses on Likert-type scale variables summarizing subjective well-being, we should not apply the toolbox of methods developed for cardinal variables such as income. Instead, we should use an analogous toolbox that accounts for the ordinal nature of the responses. In this article, I review
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Modelling Qualitative Data from Repeated Surveys
Computation, 2023 This article presents an innovative dynamic model that describes the probability distributions of ordered categorical variables observed over time. For this purpose, we extend the definition of the mixture distribution obtained from the combination of a ...
Marcella Corduas, Domenico Piccolo
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