Levels of Measurement

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  • Levels of Measurement
    • Ratio
      • There is a true zero, as in most measures of physical quantities.
      • e.g. The number of people who's favorite colour is blue.
      • It is possible for ratio data to be 1.5. But not interval
        • It is possible for interval data to be -2. But not ratio.
      • Advantage: You can calculate mean, medium, mode, and range.
        • Interval
          • Ratio
            • There is a true zero, as in most measures of physical quantities.
            • e.g. The number of people who's favorite colour is blue.
            • It is possible for ratio data to be 1.5. But not interval
              • It is possible for interval data to be -2. But not ratio.
            • Advantage: You can calculate mean, medium, mode, and range.
              • Interval
                • Data measured using units of equal intervals.
          • Data measured using units of equal intervals.
    • Ordinal
      • The data is ordered.
      • e.g.Horse Peanut: 1st place,       Butterscotch: 2nd place,      Daisy: 3rd place
        • Their may be a larger difference between 1st place horse and 2nd place, compared to the diffrence between 2nd and 3rd.
      • Disadvantage:Does not measure the distance between the orders.
        • Their may be a larger difference between 1st place horse and 2nd place, compared to the diffrence between 2nd and 3rd.
    • Nominal
      • Do we have categories in which there are frequencies     of people where we can't seperate the people within each category because we know no more about them?
      • Sometimes putting things into categories takes a lot of operationalization.
        • e.g. writing a list of  "agressive behavior"s before observational study of a tv show.
      • Data is in seperate categories.
      • e.g.  Grouping people according to their grades.

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