What are the true statements about inclusion and exclusion ...

[javeds]

What are the true statements about inclusion and exclusion criteria? (Select all that apply.)
 
  a. Inclusion and exclusion criteria determine the demographics of the sample.
  b. Inclusion and exclusion criteria are the opposites of one another.
  c. Inclusion and exclusion criteria must be mutually exhaustive.
  d. Inclusion and exclusion criteria must be mutually exclusive.
  e. Inclusion and exclusion criteria must address the study purpose.

Question 2

If the population is E, and assuming the researcher selects part of the population as a sample, what could be the sample? (Select all that apply.)
 
  a. A
  b. B
  c. C
  d. D
  e. E

[perkiness]

Answer to Question 1

ANS: A, E
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 18include, or exclude? Similarly, excluded if 65 or younger and included if 65 or older are not mutually exclusiveagain, what does the researcher do with the 65-year-old?

Answer to Question 2

ANS: A, B, C, D
Sampling involves selecting a group of people, events, behaviors, or other elements with which to conduct a study. A sample denotes the selected group of people or elements included in a study sample; it is a subset of the population. Every element of the sample is located within the population. In the diagram, A, B, C, and D are totally contained within E. The sampling criteria determine the target population, and the sample is selected from the accessible population within the target population.