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Assessing copula models for mixed continuous-ordinal variables [PDF]
Dependence Modeling, 2023 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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Frontiers in Education, 2020 The analysis of factor structures is one of the most critical psychometric applications. Frequently, variables (i.e., items or indicators) resulting from questionnaires using ordinal items with 2–7 categories are used.
Alexander Robitzsch, Alexander Robitzsch
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Axioms, 2022 Confirmatory factor analysis is some of the most widely used statistical techniques in the social sciences. Frequently, variables (i.e., items) stemming from questionnaires are analyzed.
Alexander Robitzsch
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A Regression Discontinuity Design for Ordinal Running Variables: Evaluating Central Bank Purchases of Corporate Bonds [PDF]
Annals of Applied Statistics, 2020 Regression discontinuity (RD) is a widely used quasi-experimental design for causal inference. In the standard RD, the assignment to treatment is determined by a continuous pretreatment variable (i.e., running variable) falling above or below a pre-fixed
Li, Fan +3 more
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Bayesian Analysis of the Ordinal Markov Random Field [PDF]
PsychometrikaMultivariate analysis using graphical models is rapidly gaining ground in psychology. In particular, Markov random field (MRF) graphical models have become popular because their graph structure reflects the conditional associations between psychological ...
Marsman M, van den Bergh D, Haslbeck J.
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Statistical Analysis of Ordinal Response Variable: A Comparative Study [PDF]
المجلة العراقية للعلوم الاحصائية, 2022 Response variables in biological phenomena vary between three types: numerical response variables, ordinal categorical response variables, and nominal categorical response variables. In statistical studies, handling ordinal variables varies in accordance
Liqaa Alhamdany, Zaid Tariq Salah
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A Summary Indicator Providing a Snapshot of Political Opinions when Variables are Ordinal
International Journal of Empirical Economics, 2022 This paper deals with the evaluation of the relative performance of different groups when the achievements of the members of a group are summarised by the relative distribution of these achievements across various ordered categories.
Joseph Deutsch, Jacques Silber
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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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Journal of Open Source Software, 2021 Ordinal data are a common case in applied statistics. In order to incorporate the ordinal scale level, among other things, regularization techniques are often suggested in the literature (Tutz & Gertheiss, 2014, 2016).
Aisouda Hoshiyar
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, 2021 Human capital (HC) plays an important role in modern agriculture. The difference in efficiency of assets explains only about a half of the economic performance of agricultural farms, while the other half relies on HC.
B. Czyżewski, A. Sapa, P. Kułyk
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