What is ordinal dependent variable?

What is ordinal dependent variable?

MODELS: IMPORTANT DETAILS continued Ordinal Dependent Variables. Outcome variables with only a few possible values, such as 1, 2 or 3, need special treatment. Variables like this are called ordinal, because they indicate an ordering of responses.

What is continuous dependent variable?

If a variable can take on any value between its minimum value and its maximum value, it is called a continuous variable; otherwise, it is called a discrete variable. Some examples will clarify the difference between discrete and continuous variables.

How are ordinal predictors treated in regression models?

In most cases, ordinal predictors are treated as either nominal (unordered) variables or metric (continuous) variables in regression models, which is theoretically and/or computationally undesirable. In this paper, we discuss the benefit of taking a smoothing spline approach to the modeling of ordinal predictors.

Can you use ordinal predictors in a GLM?

However, when it comes to including ordinal variables as predictors in a GLM (or GzLM), the choices are slim. In nearly all cases, ordinal predictors are treated as either nominal (unordered) or continuous variables in regression models, which can lead to convoluted and possibly misleading results.

Which is an example of an ordinal independent variable?

MODELS WITH ORDINAL INDEPENDENT VARIABLES Ordinal variables may also be independent or intervening variables in structural equation models. For example, job tenure, a continuous variable, may depend on job satisfaction, an ordinal variable measured on a Likert scale, as well as on other variables.

How to treat variables measured on an ordinal scale?

A recurring methodological issue has been how to treat variables measured on an ordinal scale when multiple regression and structural equation methods would other- wise be appropriate tools.