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Ordinal Data

On nonparametric estimation of the latent distribution for ordinal data

On nonparametric estimation of the latent distribution for ordinal data

... Ordinal data collected in surveys often consist of numerical scores that have a natural ...of ordinal variables can be thought of as a manifestation of some underlying continuous latent variable ...

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Meaningful regression and association models for clustered ordinal data

Meaningful regression and association models for clustered ordinal data

... Many proposed methods for analyzing clustered ordinal data focus on the regression model and consider the association structure within a cluster as a nuisance. However, often the association structure is of ...

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On Certain Indices for Ordinal Data with Unequally Weighted Classes

On Certain Indices for Ordinal Data with Unequally Weighted Classes

... Abstract. In this paper, some new indices for ordinal data are introduced. These indices have been developed so as to measure the degree of concentration on the “small” or the “large” values of a variable ...

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On Certain Indices for Ordinal Data with Unequally Weighted Classes

On Certain Indices for Ordinal Data with Unequally Weighted Classes

... so as to measure the observed concentration on the “small” or “large” values more objectively. Speci fi cally, the indices proposed here, ascribe different weights to each value of the variable in question according to its ...

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Statistical Analysis of Correlated Ordinal Data: Application to Cluster Randomization Trials

Statistical Analysis of Correlated Ordinal Data: Application to Cluster Randomization Trials

... for ordinal data analysis is the assignment of scores to categories and then simply treating the scores as continuous and fitting these using linear models which assume outcomes are normally ...of ...

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Learning to Classify Ordinal Data: The Data Replication Method

Learning to Classify Ordinal Data: The Data Replication Method

... tersection point of two boundaries would indicate an example with three or more classes equally probable—not plausible with ordinal classes—this strategy imposes a sensible restriction. With this constraint ...

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Missing Data Imputation for Ordinal Data

Missing Data Imputation for Ordinal Data

... of data in all kinds of research fields is often hindered by the presence of missing information, a widespread problem that many data analysts face ...the data since the missing values have a ...

7

Statistical methodology for ordinal data in meta-analysis

Statistical methodology for ordinal data in meta-analysis

... heterogeneous ordinal categorical ...patients data (IPD) on tacrine trials with Alzheimer’s disease, the second example is of misoprostol trials with insignificant heterogeneity and the third example is ...

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Statistical methodology for ordinal data in meta-analysis

Statistical methodology for ordinal data in meta-analysis

... I would like to thank Dr Richard Watson and Dr Stijn Dekeyser, the Heads of Department of Mathematics & Computing, University of Southern Queensland, for offering me teaching related contracts. Those really helped me ...

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The Visual Analogue WOMAC 3 0 scale   internal validity and responsiveness of the VAS version

The Visual Analogue WOMAC 3 0 scale internal validity and responsiveness of the VAS version

... the ordinal nature of the Likert scale or VAS, and the result- ing differential deviation from the interval scale ...by ordinal data, the results based upon ordinal data may be spurious ...

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Using  Fully  Homomorphic  Encryption  for  Statistical  Analysis  of  Categorical,  Ordinal   and  Numerical  Data

Using Fully Homomorphic Encryption for Statistical Analysis of Categorical, Ordinal and Numerical Data

... categorical data; k-percentile for ordinal data; and principal component analysis and linear regression for numerical ...of data in just 5 minutes, and we can train a linear regression model ...

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Ordinal Logit and Multilevel Ordinal Logit Models:  An Application on Wealth Index MICS-Survey Data

Ordinal Logit and Multilevel Ordinal Logit Models: An Application on Wealth Index MICS-Survey Data

... for ordinal data depends on many factors, for example the complication of the model, estimate of cluster level variance, method of parameters estimation ...

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Testing the Predictive Validity of the IELTS Test on Omani English Candidates’ Professional Competencies

Testing the Predictive Validity of the IELTS Test on Omani English Candidates’ Professional Competencies

... To answer the two research questions above, the quantitative and descriptive methods were used. For this study, Spearman Brown test was used to analyze any kind of correlation. As IELTS test scores are not interval ...

7

ORCA: A Matlab/Octave Toolbox for Ordinal Regression

ORCA: A Matlab/Octave Toolbox for Ordinal Regression

... recent ordinal machine learning methods and ordinal performance ...to ordinal classification and the pipeline of the experimental ...small data sets for code testing purposes and a list of 44 ...

5

Modeling Of Tow Wrinkling In Automated Fiber Placement Based On Geometrical Considerations

Modeling Of Tow Wrinkling In Automated Fiber Placement Based On Geometrical Considerations

... Although some work has been done on nonparametric approaches to univariate ordinal data (e.g. Hastie, Botha, and Schnitzler, 1989; Chu and Ghahramani, 2005; Srijith, Shevade, and Sundararajan, 2013), there ...

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Non convex technologies and economic efficiency measure with imprecise data

Non convex technologies and economic efficiency measure with imprecise data

... whole data is uncertain, the main focus of this section is on the development of the EE models to include fuzzy price information, which is more practical, and to take into account managerial viewpoints, which ...

17

Beyond magnitude: Judging ordinality of symbolic number is unrelated to magnitude comparison and independently relates to individual differences in arithmetic

Beyond magnitude: Judging ordinality of symbolic number is unrelated to magnitude comparison and independently relates to individual differences in arithmetic

... the time course of the P2 component from electrodes close to the left parietal cortex. Complementary to Turconi and colleagues’ (2004) results, Lyons and Beilock (2013), in a functional MRI (fMRI) study using a symbolic ...

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DNA Microarrays: a Powerful Genomic Tool for Biomedical and Clinical Research

DNA Microarrays: a Powerful Genomic Tool for Biomedical and Clinical Research

... munity is expanding the use of this ap- proach for novel applications. The main advantage is the genomic-wide informa- tion provided at reasonable costs. Biologi- cal interpretation however requires the in- tegration of ...

15

Are oral health and fixed orthodontic appliances associated with sports injuries and postural stability in elite junior male soccer players?

Are oral health and fixed orthodontic appliances associated with sports injuries and postural stability in elite junior male soccer players?

... Results: Ordinal logistic regression with number of injuries in the past year as ordinal dependent variable and dental caries and/or gum problems, age and player position as covariates, showed that ...

7

Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence

Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence

... A common method of elicitation is through pairwise comparisons. For instance, the decision of a consumer to choose one product over another constitutes a pairwise comparison between the two products. Workers in a ...

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