- Can ordinal data be continuous?
- What is difference between nominal and ordinal data?
- What is an example of ordinal data?
- Is age an example of interval data?
- What type of variable is age?
- Is ordinal qualitative or quantitative?
- Is age nominal or ordinal?
- Is hair color nominal or ordinal?
- Is gender an ordinal variable?
Can ordinal data be continuous?
In some cases, the measurement scale for data is ordinal, but the variable is treated as continuous.
For example, a Likert scale that contains five values – strongly agree, agree, neither agree nor disagree, disagree, and strongly disagree – is ordinal..
What is difference between nominal and ordinal data?
Nominal data is a group of non-parametric variables, while Ordinal data is a group of non-parametric ordered variables. Although, they are both non-parametric variables, what differentiates them is the fact that ordinal data is placed into some kind of order by their position.
What is an example of ordinal data?
Ordinal data is a kind of categorical data with a set order or scale to it. For example, ordinal data is said to have been collected when a responder inputs his/her financial happiness level on a scale of 1-10. In ordinal data, there is no standard scale on which the difference in each score is measured.
Is age an example of interval data?
Age is also a variable that can be measured on an interval scale. For example if A is 15 years old and B is 20 years old, it not only clear than B is older than A, but B is elder to A by 5 years.
What type of variable is age?
The variable age remains a quantitative continuous variable but the variable we are working on (i.e., the number of weeks since birth) is a quantitative discrete variable.
Is ordinal qualitative or quantitative?
Data at the nominal level of measurement are qualitative. … Data at the ordinal level of measurement are quantitative or qualitative. They can be arranged in order (ranked), but differences between entries are not meaningful.
Is age nominal or ordinal?
There is no order associated with values on nominal variables. [Ratio] Age is at the ratio level of measurement because it has an absolute zero value and the difference between values is meaningful. For example, a person who is 20 years old has lived (since birth) half as long as a person who is 40 years old.
Is hair color nominal or ordinal?
Similarly, hair color is also a nominal variable having a number of categories (blonde, brown, brunette, red, etc.). If the variable has a clear way to be ordered/sorted from highest to lowest, then that variable would be an ordinal variable, as described below.
Is gender an ordinal variable?
There are two types of categorical variable, nominal and ordinal. A nominal variable has no intrinsic ordering to its categories. For example, gender is a categorical variable having two categories (male and female) with no intrinsic ordering to the categories. An ordinal variable has a clear ordering.