Results 11 to 20 of about 179,170 (301)
Multiple Ordinal Correlation Based on Kendall’s Tau Measure: A Proposal
Mathematics, 2021 The joint analysis of various ordinal variables is necessary in many experimental studies within research fields such as sociology and psychology. Therefore, the necessary measures of multiple ordinal dependence must be easy to interpret and facilitate ...
Juan M. Muñoz-Pichardo +3 more
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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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Archetypal analysis for ordinal data
Information Sciences, 2021 Archetypoid analysis (ADA) is an exploratory approach that explains a set of continuous observations as mixtures of pure (extreme) patterns. Those patterns (archetypoids) are actual observations of the sample which makes the results of this technique easily interpretable, even for non-experts.
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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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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Generating Correlated Ordinal Random Values [PDF]
, 2011 Ordinal variables appear in many field of statistical research. Since working with simulated data is an accepted technique to improve models or test results there is a need for providing correlated ordinal random values with certain properties like ...
Leisch, Friedrich +2 more
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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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