Univariate Measures

Univariate Measures

1. refer to all statistical analyses that include a single dependent variable and can include one or more independent variables. Univariate statistics represent some of the most commonly used statistical analyses in communication research.

   • Like for example, the height of ten students in a class can be recorded and this is univariate data. There is only one variable which is the height and thus it does not have any relationship and cause attached to it.
   • Measures of Dispersion
     • It gives us an idea about the extent to which individual items vary from one another, and from the central value.
       • What are the six measure of dispersion?
         • Standard deviation
         • Range
         • Mean absolute difference
         • Median absolute deviation
         • Interquartile change
         • Average deviation
     • Types of Measures of Dispersion
       • Absolute measures
         • Absolute measures of dispersion are expressed in the unit of variable itself, like kilograms, rupees, centimeters, marks,
       • Relative measures
         • Relative measures of dispersion are obtained as ratios or percentages of the average. These are also known as coefficients of dispersion. These are pure numbers or percentages that are totally independent of the units.
     • Characteristics of a Good Measure of Dispersion
       • It should be easy to calculate and simple to understand
       • It should be based on all the observations of the series. It should be rigidly defined.
       • It should not be affected by extreme values.
       • It should not be unduly affected by sampling fluctuations.
       • It should be capable of further mathematical treatment and statistical analysis.