RESEARCH METHODOLOGY

Detailed explanation-1: -Ordinal variables are categorical variables with ordered possible values. They can be considered as “in-between” categorical and quantitative variables.

Detailed explanation-2: -Ordinal Variables And, order means ranking. So the things being measured are in some order. You can have higher and lower amounts. Less than and greater than are meaningful terms with ordinal variables where they were not with nominal variables.

Detailed explanation-3: -Ordinal variables An ordinal variable is a variable whose values are defined by an order relation between the different categories.

Detailed explanation-4: -Ordinal Level Variables In statistics, variables can be grouped to a corresponding level of measurement. The four levels of measurement are nominal, ordinal, interval, and ratio, arranged in a way that the nominal provides the least amount of information, the ordinal provides more information, and so on.

Detailed explanation-5: -For example, first, second, and third places in a race are ordinal data. You can clearly understand the order of finishes. However, the time difference between first and second place might not be the same as between second and third place. Ordinal data are prevalent in social science and survey research.