Results 31 to 40 of about 122,058 (167)
Background: Response variables in most medical and health-related research have an ordinal nature. Conventional modeling methods assume predictor variables to be independent, and consider a large number of samples (n) compared to the number of covariates
Zahra Torkashvand +3 more
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Ranking distributions of an ordinal variable [PDF]
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Gravel, Nicolas +2 more
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Statistical measures of the association between two ordinal variables
Questionnaire surveys often deal with items by which we would like to identify possible associations. These items/variables can be measured on the basis of nominal, ordinal or interval scale.
Liptaková Erika
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This research was conducted to determine the variables that significantly influence nutritional status of children based on indicators that defined as height for age (H/A) and to classify children nutritional status into normal, short or very short ...
PALUPI PURNAMA SARI +2 more
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Assessing copula models for mixed continuous-ordinal variables
Vine pair-copula constructions exist for a mix of continuous and ordinal variables. In some steps, this can involve estimating a bivariate copula for a pair of mixed continuous-ordinal variables.
Pan Shenyi, Joe Harry
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Some Properties of a Recently Introduced Approach to Ordinal Regression
The statistical properties of a novel approach to ordinal regression which was only recently introduced in the literature are discussed. It is shown that for ordinal explanatory variables the approach is equivalent to isotonic regression, with some ...
Florian Frommlet
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Inequality and Total Effect Summary Measures for Nominal and Ordinal Variables
Many of the topics most central to the social sciences involve nominal groupings or ordinal rankings. There are many cases in which a summary of a nominal or ordinal independent variable's effect, or the effect on a nominal or ordinal outcome, is needed ...
Trenton D. Mize, Bing Han
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A Monte Carlo Simulation Study to Assess Estimation Methods in CFA on Ordinal Data
Likert-type scale data are ordinal data and are commonly used to measure latent constructs in the educational, social, and behavioral sciences. The ordinal observed variables are often treated as continuous variables in factor analysis, which may cause ...
Nina Fitriyati, Madona Yunita Wijaya
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Analysis of an exponential equation with ordinal variables [PDF]
This paper is concerned with the analysis of the equation x y
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Ordinal regression model for pea seed mass
The development of seeds at various positions in the pod is asynchronous. Thus, the differences of seed dry mass production because of environmental conditions may depend on the cultivar type, type of inoculants and interrelations between seeds per pod ...
Klimek-Kopyra Agnieszka +5 more
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