Question

thanks for the help:)

Answer 1

Simple random sampling is a procedure in which you select a certain sample size, and all sample sizes have the same probability of selection.

Stratified random sampling is when you divide your population into certain groups (called strata). Then, for each stratum (singular form of strata), you select a subset using simple random sampling.


Cluster sampling is similar to stratified sampling, but is not quite the same. In this case, you divide your population into groups again (this time we just call them "clusters"), and then you select a certain number of clusters using simple random sampling. [To make it clear... in Stratified: you divide population into groups, then you select a subset from EACH group. In clustering: you divide the population into groups, but then you select a certain number of groups, but you take ALL subjects in that group)

Systematic sampling: You divide the population into clusters, then you select only 1 cluster from the population using simple random sampling. Then, you select subjects within that cluster by choosing units according to a specified interval (like choose every 3rd person.. you can imagine we could order all the people on a list, then choose every 3rd person).

Convenience sampling: A non-probabilistic sampling method... meaning that you cannot assign probabilities to a certain chosen subject. These are the worst kinds of samples you can get, but sometimes you have no choice. Some examples include:
-self-selection sampling: subjects choose themselves to participate (e.g. like an online poll)
-judgement sampling: The researcher just picks people in a certain area, even they they believe they are choosing people "at random", it is not truly random due to biases in selecting people (Imagine a researcher selecting people passing by in a mall to fill up a survey, and the person selects people thinking certain subjects will be "representative" ... but this is biasing the sample since the researcher is purposefully matching the targeted population to certain attributes of interest)

Answer 2

ty

Answer 3

:) yw