Aggregating opinions in non-uniform ordered qualitative scales [PDF]
Producción CientíficaThis paper introduces a new voting system in the setting of ordered qualitative scales. The process is conducted in a purely ordinal way by considering an ordinal proximity measure that assigns an ordinal degree of proximity to each ...
García Lapresta, José Luis +1 more
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Incremental Sparse Bayesian Ordinal Regression [PDF]
Ordinal Regression (OR) aims to model the ordering information between different data categories, which is a crucial topic in multi-label learning. An important class of approaches to OR models the problem as a linear combination of basis functions that ...
de Rijke, Maarten, Li, Chang
core +9 more sources
Maximally selected chi-square statistics for at least ordinal scaled variables [PDF]
The association between a binary variable Y and a variable X with an at least ordinal measurement scale might be examined by selecting a cutpoint in the range of X and then performing an association test for the obtained 2x2 contingency table using the ...
Boulesteix, Anne-Laure
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Scales of Measurement: A Demystification of the Ordinal Scale [PDF]
The ordinal scale of measurement is not understood by many researchers, especially in the social and business fraternities. The thinking that coding values of ordinal scale variables convert data from being qualitative into being quantitative is held by these researchers.
Peter Chimwanda, Edwin Rupi
openalex +2 more sources
The Issue of Using Ordinal Quantities to Estimate the Vulnerability of Seabirds to Oil Spills
Oil spills can have a serious negative effect on seabirds. Numerous studies have been carried out for relative vulnerability assessment of seabirds to oil, with the majority of such works based on ordinal quantities.
Anatoly Shavykin, Andrey Karnatov
doaj +1 more source
Ordinal Regression Models for Continuous Scales [PDF]
Ordinal regression analysis is a convenient tool for analyzing ordinal response variables in the presence of covariates. In this paper we extend this methodology to the case of continuous self-rating scales such as the Visual Analog Scale (VAS) used in pain assessment, or the Linear Analog Self-Assessment (LASA) scales in quality of life studies. These
Maurizio, Manuguerra, Gillian Z, Heller
openaire +2 more sources
Ordinal Prediction Model of 90-Day Modified Rankin Scale in Ischemic Stroke
Background and Purpose: Prediction models for functional outcomes after ischemic stroke are useful for statistical analyses in clinical trials and guiding patient expectations.
Michelle Y. Zhang +4 more
doaj +1 more source
Utilitarian Collective Choice and Voting [PDF]
In his seminal Social Choice and Individual Values, Kenneth Arrow stated that his theory applies to voting. Many voting theorists have been convinced that, on account of Arrow’s theorem, all voting methods must be seriously flawed.
A Sen +14 more
core +5 more sources
Comparison of multistate Markov modeling with contemporary outcomes in a reanalysis of the NINDS tissue plasminogen activator for acute ischemic stroke treatment trial. [PDF]
Historically, ordinal measures of functional outcome have been dichotomized for the primary analysis in acute stroke therapy trials. A number of alternative methods to analyze the ordinal scales have been proposed, with an emphasis on maintaining the ...
Christy Cassarly +5 more
doaj +1 more source
Transitivity Violations Undermine Rating Scales in Motivation Research
Measures of psychological attributes, such as motivation, typically involve rating scales, assuming that an attribute can be ordered. If an attribute has an ordinal structure, its levels stand in ordinal relations to one another, and these must be ...
Yulia Tyumeneva, Kseniya Vergeles
doaj +1 more source

