Which two sampling methods require that the researcher know something about the salient characteristics of the population (such as race, ethnicity, or gender) before selecting samples?
A) Simple random and stratified random
B) Stratified random and quota
C) Quota and multi-stage cluster
D) Multi-stage cluster and purposive
E) Purposive and simple random

Question

Quizplus · Accepted Answer

Both stratified random and quota sampling require the researcher to have some knowledge of the salient characteristics of the population being studied. Stratified random sampling involves dividing the population into subgroups based on these characteristics and then randomly selecting participants from each subgroup. Quota sampling involves pre-determining the proportions of individuals with certain characteristics that will be included in the sample. Simple random sampling does not require any prior knowledge of the population's characteristics, while multi-stage cluster and purposive sampling involve different selection criteria altogether.

Which Two Sampling Methods Require That the Researcher Know Something