Inclusion criteria and exclusion criteria in sample selection are mutually exclusive and mutually exhaustive. A researcher has a list of all of the study's inclusion and exclusion criteria
These then must be sorted into an inclusion list and an exclusion list. The method of sorting may be considered
a. Nominal
b. Categorical
c. Interval
d. Ratio
ANS: A
Nominal level of measurement is the lowest of the four measurement levels or categories. It is used when data can be organized into categories of a defined property but the categories cannot be ordered. A study might have inclusion or exclusion sampling criteria (or both). Inclusion sampling criteria are those characteristics that a subject or element must possess to be part of the target population. Exclusion sampling criteria are those characteristics that can cause a person or element to be excluded from the target population. For age, for instance, "excluded if under the age of 18" and "included if over the age of 18" are not acceptable exclusion/inclusion criteria because they are not mutually exhaustive: what should the researcher do with someone 18—include, or exclude? Similarly, "excluded if 65 or younger" and "included if 65 or older" are not mutually exclusive—again, what does the researcher do with the 65-year-old?
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