Ordinal data is a categorical, statistical data type where the variables have natural, ordered categories and the distances between the categories are...

In computer programming, an ordinal data type is a data type with the property that its values can be counted. That is, the values can be put in a one-to-one...

Look up ordinal in Wiktionary, the free dictionary. Ordinal may refer to: Ordinal data, a statistical data type consisting of numerical scores that exist...

best-known classification with four levels, or scales, of measurement: nominal, ordinal, interval, and ratio. This framework of distinguishing levels of measurement...

In linguistics, ordinal numerals or ordinal number words are words representing position or rank in a sequential order; the order may be of size, importance...

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

data is distinct from that of binary data, in which the observations can take only two values, usually represented by 0 and 1, and from ordinal data,...

methods can be used for both types of categorical data sets; however, nominally categorizing ordinal data will remove order, limiting further dataset analysis...

In economics, an ordinal utility function is a function representing the preferences of an agent on an ordinal scale. Ordinal utility theory claims that...

the data transformation in which numerical or ordinal values are replaced by their rank when the data are sorted. For example, if the numerical data 3.4...

respects, to the extent to which Likert items are interpreted as being ordinal data. There are two primary considerations in this discussion. First, Likert...

("second") and B gets ranking number 3 ("third"). In computer data processing, ordinal ranking is also referred to as "row numbering". This method corresponds...

Categorical data can be either nominal or ordinal. Ordinal data has a ranked order for its values and can therefore be converted to numerical data through...

regression or proportional odds model) is an ordinal regression model—that is, a regression model for ordinal dependent variables—first considered by Peter...

measurements (that outcomes include "how much better or worse"), and returns ordinal data, using only the modeled outcomes: the conclusion of a minimax analysis...

{\displaystyle d} , originally developed by Norman Cliff for use with ordinal data,[dubious – discuss] is a measure of how often the values in one distribution...

applied to ordinal data (ranked data): the MiniTab online documentation gives an example. However, this document notes: "When you have ordinal ratings,...

multinomial probit regression for categorical data. Ordered logit and ordered probit regression for ordinal data. Single index models[clarification needed]...

robust against certain kinds of changes to a data set, and that (unlike the mean) it is meaningful for ordinal data. The concepts of an invariant estimator...

simultaneously. The main reason for using ordinal data in the OPA method is the accessibility and accuracy of the ordinal data compared with exact ratios used in...

Alternative Methods of Estimation for Confirmatory Factor Analysis With Ordinal Data". Psychological Methods. 9 (4): 466–491. doi:10.1037/1082-989x.9.4.466...

to carry out these procedures for continuous, ordinal, and heterogenous (continuous and ordinal) data. With the exception of Revelle and Rocklin's (1979)...

many MCDM algorithms to model and solve fuzzy problems. Ordinal data based methods Ordinal data has a wide application in real-world situations. In this...

In terms of levels of measurement, non-parametric methods result in ordinal data. As non-parametric methods make fewer assumptions, their applicability...

the lower half of the data set. The median and the mode are the only measures of central tendency that can be used for ordinal data, in which values are...

be compared with this in mind. Ordinal data The Mann–Whitney U test is preferable to the t-test when the data are ordinal but not interval scaled, in which...

among software packages for the analysis of binary correlated data and ordinal correlated data via GEE are available. Generalized method of moments Repeated...

transformations. This may be important when there is outliers or when dealing with ordinal data. Wilcoxon signed-rank test Kruskal–Wallis one-way analysis of variance...

the main data analyses can and should be made: In the case of non-normals: should one transform variables; make variables categorical (ordinal/dichotomous);...

An ordinal date is a calendar date typically consisting of a year and an ordinal number, ranging between 1 and 366 (starting on January 1), representing...