Can I apply multivariate regression analysis of ordinal data?

Ordinal variable in multiple linear regression model? - Cross Validated

It's often fine to treat ordinal predictors as continuous. A more general solution is to use polynomial contrasts. GAMs are another option.

Should I run an ordinal regression, or a multiple regression?

You might consider ordinal logistic regression if the categories have inherent order or multinomial logistic regression if they do not.

Can I apply multivariate regression analysis of ordinal data?

Yes, sounds like you can doan ONS regression. However, as Class said, it depends on what the exact properties of your data.

Multivariate ordinal regression models: an analysis of corporate ...

Motivated by an application in credit risk, where multiple credit rating agencies assess the creditworthiness of a firm on an ordinal scale, we ...

[Q] Can I treat my ordinal dependent variables as continuous for the ...

Yes. Just use ordinal regression, like MASS::polr. Calculate VIF on the independent variables. VIF >10 indicates significant multicollinearity.

Can I add one Ordinal and one Nominal (Columns) to a Multiple ...

Yes, you can. Select Analyze > Fit Model. Select the column with the response data and click Y. Select the nominal and ordinal columns and click Add.

Multivariate ordinal regression for multiple repeated measurements

A multivariate ordinal regression model which allows the joint modeling of three-dimensional panel data containing both repeated and multiple measurements

Multinomial and ordinal Logistic regression analyses with multi ...

Multinomial logistic regressions can be applied for multi-categorical outcomes, whereas ordinal variables should be preferentially analyzed using an ordinal ...

Multivariate Regression Analysis | Stata Data Analysis Examples

Separate OLS Regressions – You could analyze these data using separate OLS regression analyses for each outcome variable. The individual coefficients, as well ...

Ordinal regression model for multiple Likert items using brms

In this case, you can try an ordinal model against a normal model and see how their posterior predictives compare to one another. To extend the ...

Regression with continuous dependent variable with ordinal ...

The data is form a likert-type scale (0-3), so it makes sense to go with continuous rather than categorical, since there aren't any ordinal ...

Multivariate Regression vs. Multiple Regression - The Analysis Factor

It may have one or more than one X variables. It is equivalent to a MANOVA: Multivariate Analysis of Variance. Other examples of Multivariate ...

Ordinal regression Part 2: Multiple ordinal regression - YouTube

This video discusses ordinal logistic regression models with more than one explanatory variable ... use of Wald-tests and likelihood ratio ...

REGRESSION MODELS WITH ORDINAL VARIABLES*

This view of ordinal variables can also apply to variables that are often treated as continu- ous but might be better viewed as ordinal. Counted variables ...

mvord: An R Package for Fitting Multivariate Ordinal Regression ...

Moreover, aside from the need of a model class that can handle correlated ordinal data, additional flexibility is desired due to the following characteristics ...

Coding ordinal independent variables in multiple regression analyses

The authors present a coding scheme for ordinal independent variables which may be used in various forms of regression analysis. The scheme is useful in ...

Multivariate Regression Analysis | SAS Data Analysis Examples

To conduct a multivariate regression in SAS, you can use proc glm, which is the same procedure that is often used to perform ANOVA or OLS regression. The ...

Choosing the Correct Type of Regression Analysis - Statistics By Jim

Counts are nonnegative integers (0, 1, 2, etc.). Count data with higher means tend to be normally distributed and you can often use OLS. However, count data ...

Getting started with Multivariate Multiple Regression - UVA Library

Multivariate Multiple Regression is a method of modeling multiple responses, or dependent variables, with a single set of predictor variables.

Ordinal regression - Wikipedia

In statistics, ordinal regression, also called ordinal classification, is a type of regression analysis used for predicting an ordinal variable, ...