Level of measurement is an important concept in quantitative research. Explain the relationship...

Question

Level of measurement is an important concept in quantitative  research. Explain the relationship between a variable's level of  measurement and the resulting descriptive and inferential statistics  that might be used for analysis. Use Tables 2.3 and 2.4 in the IBM  handout to answer this question. Provide an example of variables and  tests that you might perform for your study if you were to choose  quantitative methodology.    ­300 words minimum    ­At least two scholarly citations and a reference list

David · Accepted Answer

Analysis 
There are four levels of measurement nemali nominal ordinal ratio and interval scale of 
measurement. For a particular data the best measure of Central tendency is mode and the 
measure of dispersion does not exist. For a variable measured on ratio or ordinal interval scale of 
measurement the best measure of Central tendency is based on the shape of the distribution of 
the variable. 
If the shape of histogram is bell shaped I can say that variable is approximately normally 
distributed. For a variable which is normally distributed mean is considered as the best measure 
of Central tendency. The standard deviation is considered as a best measure of dispersion. In this 
scenario a low value of standard deviation indicates that the mean is reliable. 
When data of a variable is skewed or has outliers then median is considered as the best 
measure of Central tendency.

TRAINING Introduction to Statistical Analysis Using IBM SPSS Statistics Student Guide Course Code: 0G517 ERC 1.0 Introduction to Statistical Analysis Using IBM SPSS Statistics Licensed Materials -...

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