1. Sampling Methods Project Trimester-SS-2006/08

2. 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

3. 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.

4. 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.

5. Example

6. Divide Map/Population into clusters

7. Assign Random numbers http://www.graphpad.com/quickcalcs/random n2.cfmhttp://www.graphpad.com/quickcalcs/random 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

9. Rule: Numbers ending with 8 Row # A B C D E F G H I J 1 8009687199351651264317065813536849598405035202928937752895 2 61366324316418070092375243646199149516687920625325846470734 3 97831717139332279751750122510422734122798754093283993921479 4 3719685005132777324799958855670277557081152066770869921971 5 46409289151620466925862666890290278138386520616445604770251 6 5340177679335823052054832314951765347145393647693121656049 7 40342788757448950185553856150231825628139213772655607484145 8 30744272631844030850954524451999877050527239722760307399514 9 85374140877064193638251387739914644187605276939289898141229 10 841581779451519153641204642931763089617017804927314951428

10. Rule 2: Select cluster exactly divisible by 8