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  2. Level of measurement - Wikipedia

    en.wikipedia.org/wiki/Level_of_measurement

    While Stevens's typology is widely adopted, it is still being challenged by other theoreticians, particularly in the cases of the nominal and ordinal types (Michell, 1986). [16] Duncan (1986), for example, objected to the use of the word measurement in relation to the nominal type and Luce (1997) disagreed with Stevens's definition of measurement.

  3. Nominal category - Wikipedia

    en.wikipedia.org/wiki/Nominal_category

    Nominal data is often compared to ordinal and ratio data to determine if individual data points influence the behavior of quantitatively driven datasets. [1] [4] For example, the effect of race (nominal) on income (ratio) could be investigated by regressing the level of income upon one or more dummy variables that specify race. When nominal ...

  4. Ordinal data - Wikipedia

    en.wikipedia.org/wiki/Ordinal_data

    [1]: 2 These data exist on an ordinal scale, one of four levels of measurement described by S. S. Stevens in 1946. The ordinal scale is distinguished from the nominal scale by having a ranking. [2] It also differs from the interval scale and ratio scale by not having category widths that represent equal increments of the underlying attribute. [3]

  5. List of statistical tests - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_tests

    Scaling of data: One of the properties of the tests is the scale of the data, which can be interval-based, ordinal or nominal. [3] Nominal scale is also known as categorical. [ 6 ] Interval scale is also known as numerical. [ 6 ]

  6. Statistics - Wikipedia

    en.wikipedia.org/wiki/Statistics

    The psychophysicist Stanley Smith Stevens defined nominal, ordinal, interval, and ratio scales. Nominal measurements do not have meaningful rank order among values, and permit any one-to-one (injective) transformation. Ordinal measurements have imprecise differences between consecutive values, but have a meaningful order to those values, and ...

  7. Statistical data type - Wikipedia

    en.wikipedia.org/wiki/Statistical_data_type

    The concept of data type is similar to the concept of level of measurement, but more specific. For example, count data requires a different distribution (e.g. a Poisson distribution or binomial distribution) than non-negative real-valued data require, but both fall under the same level of measurement (a ratio scale).

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  9. Questionnaire - Wikipedia

    en.wikipedia.org/wiki/Questionnaire

    Nominal-polytomous, where the respondent has more than two unordered options. The nominal scale, also called the categorical variable scale, is defined as a scale used for labeling variables into distinct classifications and does not involve a quantitative value or order. Ordinal-polytomous, where the respondent has more than two ordered options