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

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