Describe the four different levels of measurement. Give an example of each.
There are dour levels of measurement in social statistics. The first level is the nominal scale (Lewis, 2013). This level is also known as the dummy coding which involves the placing of people, perceptions, events and many other aspects into categories which are based on traits regarded common. There are data which are naturally fit for nominal scale African American vs. Asian and males vs. females. Nominal scale is the basis for the analyses such as variance through ANOVA as it requires a category to be compared to one or more other category. Nominal scale represents the lowest level of measurement.
The other level of measurement is the ordinal scale. This level has   an advantage over the nominal scale in that it contains all information within the nominal scale (Wallace, 1971). Nevertheless, this scale ranks data starting from the lowest to the highest. Ordinal scale gives an idea about the relation of data with respect to the other. Thus ordinal scale rank orders objects. The other level of measurement is the interval scale. The interval scale demonstrates the relationship between an object with another in terms of distance. The fourth level of measurement is the ratio scale. This scale contains the most information relating to an object especially on ratio scaling. Ratio scaling encompasses the information on the three previous levels of measurement and an absolute point zero.

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