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  2. Level of measurement - Wikipedia

    en.wikipedia.org/wiki/Level_of_measurement

    Level of measurement or scale of measure is a classification that describes the nature of information within the values assigned to variables. [1] Psychologist Stanley Smith Stevens developed the best-known classification with four levels, or scales, of measurement: nominal, ordinal, interval, and ratio.

  3. Ordinal data - Wikipedia

    en.wikipedia.org/wiki/Ordinal_data

    Ordinal data is a categorical, statistical data type where the variables have natural, ordered categories and the distances between the categories are not known. [1]: 2 These data exist on an ordinal scale, one of four levels of measurement described by S. S. Stevens in 1946.

  4. Nominal category - Wikipedia

    en.wikipedia.org/wiki/Nominal_category

    Because nominal categories cannot be numerically organized or ranked, members associated with a nominal group cannot be placed in an ordinal or ratio form. 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 ...

  5. Guttman scale - Wikipedia

    en.wikipedia.org/wiki/Guttman_scale

    In the analysis of multivariate observations designed to assess subjects with respect to an attribute, a Guttman scale (named after Louis Guttman) is a single (unidimensional) ordinal scale for the assessment of the attribute, from which the original observations may be reproduced. The discovery of a Guttman scale in data depends on their ...

  6. Ordinal scale - Wikipedia

    en.wikipedia.org/?title=Ordinal_scale&redirect=no

    This page was last edited on 17 March 2018, at 11:23 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may ...

  7. Ordinal regression - Wikipedia

    en.wikipedia.org/wiki/Ordinal_regression

    In statistics, ordinal regression, also called ordinal classification, is a type of regression analysis used for predicting an ordinal variable, i.e. a variable whose value exists on an arbitrary scale where only the relative ordering between different values is significant.

  8. Rams' fumbles in the snow derail playoff upset bid in ...

    www.aol.com/rams-fumbles-snow-derail-playoff...

    Kyren Williams made a cut in the snow, then the Rams' 1,200-yard rusher had the football pop loose on a clear — well, clear-ish — slick path snow-blown clean of a wintry mix. The ball rolled ...

  9. Ordinal data type - Wikipedia

    en.wikipedia.org/wiki/Ordinal_data_type

    In computer programming, an ordinal data type is a data type with the property that its values can be counted. That is, the values can be put in a one-to-one correspondence with the positive integers .