Results 21 to 30 of about 122,058 (167)
Barekeng, 2022 Ordinal logistic regression is a method describing the relationship between an ordered categorical response variable and one or more explanatory variables.
Reni Amelia +2 more
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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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Models for the association between ordinal variables [PDF]
Computational Statistics & Data Analysis, 1998 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lapp, Krista +2 more
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Inequality measurement with an ordinal and continuous variable [PDF]
Social Choice and Welfare, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gravel, Nicolas +2 more
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Adaptive Sparse Clustering of Mixed Data Using Azzalini-Encoded Ordinal Variables
AxiomsIn this paper, we propose a novel sparse clustering method designed for high-dimensional mixed-type data, integrating Azzalini’s score-based encoding for ordinal variables. Our approach aims to retain the inherent nature of each variable type—continuous,
Ismail Arjdal +3 more
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Ordinal Log-Linear Models for Contingency Tables
Folia Oeconomica Stetinensia, 2016 A log-linear analysis is a method providing a comprehensive scheme to describe the association for categorical variables in a contingency table. The log-linear model specifies how the expected counts depend on the levels of the categorical variables for ...
Brzezińska Justyna
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Revisiting the evidence for cardinal treatment of ordinal variables [PDF]
European Economic Review, 2015 Well‐being (i.e., satisfaction, happiness) is a latent variable, impossible to observe directly. Hence, questionnaires ask people to grade their well‐being in different life domains. The most common practice - comparing well‐being by means of descriptive analysis or linear regressions - ignores that the underlying collected well‐being information is ...
Carsten Schröder, Shlomo Yitzhaki
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Regression with Ordered Predictors via Ordinal Smoothing Splines
Frontiers in Applied Mathematics and Statistics, 2017 Many applied studies collect one or more ordered categorical predictors, which do not fit neatly within classic regression frameworks. In most cases, ordinal predictors are treated as either nominal (unordered) variables or metric (continuous) variables ...
Nathaniel E. Helwig, Nathaniel E. Helwig
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Testing for Measurement Invariance with Respect to an Ordinal Variable [PDF]
Psychometrika, 2014 Researchers are often interested in testing for measurement invariance with respect to an ordinal auxiliary variable such as age group, income class, or school grade. In a factor-analytic context, these tests are traditionally carried out via a likelihood ratio test statistic comparing a model where parameters differ across groups to a model where ...
Edgar C. Merkle +2 more
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Ordinal Variables in the Segmentation of Advertisement Receivers [PDF]
, 1998 The paper presents segmentation study, which employs methods of classification to single out the segments. The variables measured on the ordinal scale were used as the criteria of market segmentation. Variables used reflected students’ attitude towards 20 statements about advertising.
Walesiak, Marek +2 more
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