# What is an ordinal value?

Advanced note: The best way to determine central tendency on a set of

**ordinal**data is to use the mode or median; the mean cannot be defined from an**ordinal**set. Example of**Ordinal**Scales. Interval. Interval scales are numeric scales in which we know not only the order, but also the exact differences between the**values**.A.

### What is ordinal scale measurement?

Level of

**measurement**or**scale**of**measure**is a classification that describes the nature of information within the values assigned to variables. Psychologist Stanley Smith Stevens developed the best-known classification with four levels, or**scales**, of**measurement**: nominal,**ordinal**, interval, and ratio.#### Is a Likert scale ordinal?

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 an example of a ratio scale?

A**ratio scale**has all the properties of an interval**scale**.**Ratio**data on the**ratio scale**has measurable intervals. For**example**, the difference between a height of six feet and five feet is the same as the interval between two feet and three feet. The zero in a**ratio scale**means that something doesn't exist.#### What is a scale interval?

A**interval scale**has measurements where the difference between values is meaningful. In other words, the differences between points on the**scale**are measurable and exactly equal. For example, the difference between a 110 degrees F and 100 degrees F is the same difference as between 70 degrees F and 80 degrees F.

B.

### What is nominal and ordinal data?

**Ordinal data**is a categorical, statistical

**data**type where the variables have natural, ordered categories and the distances between the categories is not known. The

**ordinal**scale is distinguished from the

**nominal**scale by having ordered categories.

#### Is ordinal data quantitative?

It is useful to distinguish between two broad types of variables: qualitative and**quantitative**(or numeric). Each is broken down into two sub-types: qualitative**data**can be**ordinal**or nominal, and numeric**data**can be discrete (often, integer) or continuous.#### How can a single variable quantitative data be represented?

It is important**to**identify whether the**data**are**quantitative**or qualitative as this affects the statistics that**can**be produced. Frequency counts: The number of times an observation occurs (frequency) for a**data**item (**variable**)**can**be shown for both**quantitative**and qualitative**data**.#### What is scale data?

In SPSS researcher can specify the level of measurement as**scale**(numeric**data**on an interval or ratio**scale**), ordinal, or nominal. Nominal and ordinal**data**can be either string alphanumeric or numeric.

C.

### What is an ordinal level of measurement?

Data

**Levels**of Measurement. A variable has one of four different**levels**of measurement: Nominal,**Ordinal**, Interval, or Ratio. (Interval and Ratio**levels**of measurement are sometimes called Continuous or Scale).#### Is weight an interval or ratio?

A**ratio**variable, has all the properties of an**interval**variable, and also has a clear definition of 0.0. When the variable equals 0.0, there is none of that variable. Variables like height,**weight**, enzyme activity are**ratio**variables. Temperature, expressed in F or C, is not a**ratio**variable.#### What is an example of a ratio scale?

A**ratio scale**has all the properties of an interval**scale**.**Ratio**data on the**ratio scale**has measurable intervals. For**example**, the difference between a height of six feet and five feet is the same as the interval between two feet and three feet. The zero in a**ratio scale**means that something doesn't exist.#### What is an example of a nominal variable?

A**nominal variable**is another name for a categorical**variable**.**Nominal variables**have two or more categories without having any kind of natural order. they are**variables**with no numeric value, such as occupation or political party affiliation.

Updated: 19th September 2018