Which scale of measurement is most appropriate for the following variables -nomi
ID: 3298555 • Letter: W
Question
Which scale of measurement is most appropriate for the following variables -nominal, or ordinal? a. Political party affiliation (Democrat, Republican, unaffiliated). b. Highest degree obtained (none, high school, bachelor's, master's, doctorate). c. Patient condition (good, fair, serious, critical). d. Hospital location (London, Boston, Madison, Rochester, Toronto). e. Favorite beverage (beer, juice, milk, soft drink, wine, other). f. How often feel depressed (never, occasionally, often, always).Explanation / Answer
a. The variable political party affiliation is classified into three categories-Democrat, Republic and unaffiliated. The numbers of candidates in each categories can be counted and thus sizes of the categories can be compared. Therefore, the variable is Nominal.
b. The variable highest degree obtained is classified into five categories-None, High school, Bachelor's, Master's and Doctorate. The numbers of candidates in each categories can be counted and thus sizes of the categories can be compared. Therefore, the variable is Nominal.
c. The variable patient condition is classified into categories-good, fair, serious and critical, plus ranking of categories can be done with respect to each other. Thus, apart from counting number in each categories and comparing their sizes, judgements related to greater than or less than can be done on the variable. The variable is ordinal in nature.
d. The variable hospital location is classified into five categories. The numbers of hospitals in each categories can be counted and thus sizes of the categories can be compared. Therefore, the variable is Nominal.
e. Going by the logic of nominal variable, the variable favourite beverage is nominal in nature. [see ans a for the basic characteristics for nominal variable]
f. Going by the logic of ordinal variable, the variable how often feel depressed is ordinal in nature. [see answer c for basic characteristics of ordinal variable]
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