Sampling Methods Project Trimester-SS-2006/08

Convenience Sampling Population elements are selected based on the judgement of the researcher. Chooses the elements to be included because he/she believes they are representative of the population

Cluster Random Sampling The target population is divided into mutually exclusive and collectively exhaustive clusters or sub-populations. Then a random sample of clusters is selected For each selected cluster, either all the elements are selected or a sample of elements is drawn probabilistically.

Cluster Random Sampling 1.Take the population map. 2.Divide it into equal clusters 3.Assign each cluster a random number. 4.Select the cluster/s on the basis of a pre- decided rule. 5.Divide the selected cluster into sub-clusters. 6.Repeat steps 2-4 until you get a manageable sub-cluster.

Example

Divide Map/Population into clusters

Assign Random numbers n2.cfmhttp:// n2.cfm Select Random numbers on basis of pre-decided rules. E.g. only even numbers Select 1 or more clusters on basis of pre-decided rules e.g. Divisible by 4 Repeat till you get desired number of clusters/sub-clusters

Rule: Numbers ending with 8 Row # A B C D E F G H I J

Rule 2: Select cluster exactly divisible by 8