Results 21 to 30 of about 21,655,635 (191)
Evaluating Imputation-Based Fit Statistics in Structural Equation Modeling With Ordinal Data: The MI2S Approach. [PDF]
Educ Psychol MeasSriutaisuk S +4 more
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ORDINAL LOGISTIC REGRESSION MODEL AND CLASSIFICATION TREE ON ORDINAL RESPONSE DATA
Barekeng, 2022 Logistic regression (LR) is a model that associates the relationship between category-type response variables with quantitative or quantitative and qualitative predictor variables. The prediction of the LR model is in the form of probability.
Jajang Jajang +2 more
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Model-Assisted and Model-Calibrated Estimation for Class Frequencies with Ordinal Outcomes
Revstat Statistical Journal, 2022 This paper considers new techniques for complex surveys in the case of estimation of proportions when the variable of interest has ordinal outcomes. Ordinal modelassisted and ordinal model-calibrated estimators are introduced for class frequencies in a ...
Maria del Mar Rueda +3 more
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Flexible marginalized models for bivariate longitudinal ordinal data. [PDF]
Biostatistics, 2013 Lee K, Daniels MJ, Joo Y.
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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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Psychological methods, 2021 Structural equation modeling (SEM) of ordinal data is often performed using normal theory maximum likelihood estimation based on the Pearson correlation (cont-ML) or using least squares principles based on the polychoric correlation matrix (cat-LS ...
Njål Foldnes, Steffen Grønneberg
semanticscholar +1 more source
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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Comparing estimation methods for psychometric networks with ordinal data.
Psychological methods, 2021 Ordinal data are extremely common in psychological research, with variables often assessed using Likert-type scales that take on only a few values. At the same time, researchers are increasingly fitting network models to ordinal item-level data. Yet very
Simran K. Johal, M. Rhemtulla
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Ordinalysis: Interpretability of multidimensional ordinal data
SoftwareX, 2023 Ordinalysis is a software that enables dimension reduction, visualization and quantitative ordinality analysis of ordinal data. It is provided as a standalone executable file with a video tutorial.
Mouad Zine-El-Abidine +2 more
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Frontiers in Marine Science, 2021 Species distribution model (SDM) is a crucial tool for forecasting ranges of species and mirroring habitat references and quality. Different types of species distribution data have been commonly used in SDMs regarding different purposes and availability,
Jing Luan +7 more
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