enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  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. Guttman scale - Wikipedia

    en.wikipedia.org/wiki/Guttman_scale

    Definition: Guttman scale is a data set for which there exists an ordinal variable, X, with a finite number m of categories, say, 1,...,m with m≥ max j (k j) and a permutation of subjects' profiles such that each variable in the data set is a simple function of X.

  5. Kendall rank correlation coefficient - Wikipedia

    en.wikipedia.org/wiki/Kendall_rank_correlation...

    In statistics, the Kendall rank correlation coefficient, commonly referred to as Kendall's τ coefficient (after the Greek letter τ, tau), is a statistic used to measure the ordinal association between two measured quantities.

  6. 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.

  7. Exploratory factor analysis - Wikipedia

    en.wikipedia.org/wiki/Exploratory_factor_analysis

    Recent simulation studies in the field of psychometrics suggest that the parallel analysis, minimum average partial, and comparative data techniques can be improved for different data situations. For example, in simulation studies, the performance of the minimum average partial test, when ordinal data is concerned, can be improved by utilizing ...

  8. Big Tech earnings are coming, and Trump will be top of mind ...

    www.aol.com/finance/big-tech-earnings-coming...

    Big Tech’s earnings season kicks off this week with a flurry of announcements from some of the industry’s most important players including Apple (), Meta (), and Microsoft ().With the new year ...

  9. Stanley Smith Stevens - Wikipedia

    en.wikipedia.org/wiki/Stanley_Smith_Stevens

    After two years of graduate study, he received his Ph.D. in psychology from Harvard University, where he served under Edwin Boring as assistant in psychology, from 1932 to 1934. The following year he spent studying physiology under Hallowell Davis at Harvard Medical School , and in 1935 served as a research fellow in physics at Harvard for a year.