Term
|
Definition
| A method of sampling that involves drawing a sample from a population so that every possible sample has an equal probability of being selected. |
|
|
Term
| Stratified Random Sampling |
|
Definition
| also sometimes called proportional or quota random sampling, involves dividing your population into homogeneous subgroups and then taking a simple random sample in each subgroup. |
|
|
Term
| Systematic Random Sampling |
|
Definition
| is a sampling method where you determine randomly where you want to start selecting in the sampling frame and then follow a rule to select every xth element in the sampling frame list (where the ordering of the list is assumed to be random). |
|
|
Term
| Cluster (Area) Random Sampling |
|
Definition
| A sampling method that involves dividing the population into groups called clusters, randomly selecting clusters, and then sampling each elemint in the selected clusters. This method is useful when sampling a population that is spread across a wide geographic area. |
|
|
Term
|
Definition
| The combining of several sampling techniques to create a more efficient or effective sample than the use of any one sampling type can achieve on its own. |
|
|
