"ordered variable" is correct and can be used in written English.
It is generally used to describe a type of mathematical variable that is arranged in a specific order. For example: "The ordered variables in the equation indicated a linear relationship."
And its performance improves as the number of levels for the ordered variable increases, that is, the ordered trait of the categorical variable becomes more pronounced.
It was composed of 12 categorical variables and one ordered variable, totally 13 clinical variables.
First, we discuss briefly the coefficients obtained by regressing the ordered variable of intended exit age on our set of individual characteristics (column 1).
This model includes two equations, one for the binary indicator of the sample selection (the selection equation) and another for the ordered variable.
Since the information on individual retirement intentions is measured by an ordered variable, we turn to an ordered Probit regression to explain the determinants of retirement intentions.
It is worth mentioning that the dataset contained only the nutritional status information of the children and not the continuous weight-for-age measure, hence the ordered variable was used.
In particular, the numerical and ordered variables were investigated with Spearman correlation coefficient ; a pair was considered collinear if the statistically significant correlation (p≤0.050) was >|0.6|.
Eight different sample sizes were used, 50,100,150,200,300,600,900 and 1200; three different levels of 2, 4 and 6 for the ordered variables were simulated.
Correlations of continuous or ordered variables were calculated using Spearman Correlation.
For a categorical variable with more than two categories, we distinguish between nominal and ordered variables.
The item pair scalability, Hij, in essence the correlation between two ordered variables.
