There are different types of continuation ratio (CR) models for ordinal response variables. The different model equations, corresponding parameterizations, and nonequivalent results are confusing. The purpose of this study is to introduce different types of forward and backward CR models, demonstrate how to implement these models using Stata, and compare the results using data from the Educational Longitudinal Study of 2002 (ELS:2002)
n Module 6 we saw how multiple regression models for continuous responses can be generalised to hand...
n Module 6 we saw how multiple regression models for continuous responses can be generalised to hand...
Kauermann G, Tutz G. Semi- and nonparametric modeling of ordinal data. JOURNAL OF COMPUTATIONAL AND ...
There are different types of continuation ratio (CR) models for ordinal response variables. The diff...
There are different types of continuation ratio (CR) models for ordinal response variables. The diff...
There are different types of continuation ratio (CR) models for ordinal response variables. The diff...
One commonly used model to analyze ordinal response data is the proportional odds (PO) model. Howeve...
Ordinal data are widely available to educational researchers. One of the most commonly used models t...
Ordinal data are widely available to educational researchers. One of the most commonly used models t...
The ordinal logistic regression models are used to analyze the dependant variable with multiple outc...
Regression models for ordinal response variables are available since the late 1980s, and many statis...
Ordinal variables are very often objects of study in health sciences. However, due to the lack of di...
This article presents applications for the analysis of multilevel ordinal response data through the ...
Ordinal variables are very often objects of study in health sciences. However, due to the lack of di...
models, the cumulative probability models, and the continuation ratio models. So far, the latter cla...
n Module 6 we saw how multiple regression models for continuous responses can be generalised to hand...
n Module 6 we saw how multiple regression models for continuous responses can be generalised to hand...
Kauermann G, Tutz G. Semi- and nonparametric modeling of ordinal data. JOURNAL OF COMPUTATIONAL AND ...
There are different types of continuation ratio (CR) models for ordinal response variables. The diff...
There are different types of continuation ratio (CR) models for ordinal response variables. The diff...
There are different types of continuation ratio (CR) models for ordinal response variables. The diff...
One commonly used model to analyze ordinal response data is the proportional odds (PO) model. Howeve...
Ordinal data are widely available to educational researchers. One of the most commonly used models t...
Ordinal data are widely available to educational researchers. One of the most commonly used models t...
The ordinal logistic regression models are used to analyze the dependant variable with multiple outc...
Regression models for ordinal response variables are available since the late 1980s, and many statis...
Ordinal variables are very often objects of study in health sciences. However, due to the lack of di...
This article presents applications for the analysis of multilevel ordinal response data through the ...
Ordinal variables are very often objects of study in health sciences. However, due to the lack of di...
models, the cumulative probability models, and the continuation ratio models. So far, the latter cla...
n Module 6 we saw how multiple regression models for continuous responses can be generalised to hand...
n Module 6 we saw how multiple regression models for continuous responses can be generalised to hand...
Kauermann G, Tutz G. Semi- and nonparametric modeling of ordinal data. JOURNAL OF COMPUTATIONAL AND ...