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Generating Correlated Ordinal Random Values [PDF]
, 2011 Ordinal variables appear in many field of statistical research. Since working with simulated data is an accepted technique to improve models or test results there is a need for providing correlated ordinal random values with certain properties like ...
Kaiser, Sebastian +2 more
core +1 more source
Avances en Psicología Latinoamericana, 2018 Para obtener evidencias sobre la validez de constructo a través de Análisis Factorial Confirmatorio, ha sido habitual tratar las escalas tipo Likert como si fueran variables continuas medidas según una escala de intervalo.
F. P. Holgado-Tello +2 more
semanticscholar +1 more source
Iranian South Medical Journal, 2021 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
doaj
Fundamental characteristics and statistical analysis of ordinal variables: a review
, 2017 The measurement of several concepts used in social sciences generates an ordinal variable, which is characterized by rawness of the output values and presents some much debated problems in data analysis. In fact, the need for effective analysis is easily
M. Lalla
semanticscholar +1 more source
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
doaj +1 more source
Statistical measures of the association between two ordinal variables
Slovak Journal of Sport Science, 2021 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
doaj
Modeling Longitudinal Ordinal Response Variables for Educational Data [PDF]
, 2007 This article presents applications for the analysis of multilevel ordinal response data through the proportional odds model. Data are drawn from the public-use Early Childhood Longitudinal Study.
Doucette, Heather Levitt +1 more
core +2 more sources
Frailty Exacerbates Disability in Progressive Multiple Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background To evaluate frailty in severe progressive multiple sclerosis (PMS) and to investigate the underlying mechanisms. Methods This prospective, cross‐sectional, multicenter study enrolled a late severe PMS group requiring skilled nursing (n = 53) and an age, sex, and disease duration‐matched control PMS group (n = 53).
Taylor R. Wicks +10 more
wiley +1 more source
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
doaj +1 more source
Post‐COVID Fatigue Is Associated With Reduced Cortical Thickness After Hospitalization
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Neuropsychiatric symptoms are among the most prevalent sequelae of COVID‐19, particularly among hospitalized patients. Recent research has identified volumetric brain changes associated with COVID‐19. However, it currently remains poorly understood how brain changes relate to post‐COVID fatigue and cognitive deficits.
Tim J. Hartung +190 more
wiley +1 more source