Sampling Techniques

Presented byShenam Ashfaq Shah Abdul Azeem

SAMPLE

Sample is the number of people that are selected form the entire population for the

purpose of research by the researcher.

A sample is the true representative of the entire population and the values driven out

form that sample are held to true for the entire population.

Choosing The Right SampleIt is deemed essentially important that the

right sample is selected for the purpose of research.

Not everybody in the population can be selected for research. Only a certain number

of people could be selected that actually depict the true picture for the entire

population.

Essentials for Choosing a Sample

For choosing the right sample, the researcher must first determine:

Sample Size:The number of people to be researched

Sample Demographics:It includes the basic demographics of sample likeAgeGenderIncomeOccupationResidenceEducationReligionBelieves

Sampling Techniques

A- Probability Sampling

1- Simple Random Sampling2- Stratified Random Sampling3- Systematic Random Sampling4- Cluster Random Sampling

B- Non probability Sampling:1- Convenience Sampling

A- Probability Sampling

Probability sampling is the random sampling in which every individual of the sample has an equal opportunity

to be selected for the research.

1- Simple Random SamplingSimple random sampling involves

choosing a sample according to the requirement of the thesis and out of that sample, choosing the people on random. Just anyone in the sample

could be selected.

2- Stratified Random SamplingIn stratified sampling, the population to be researched is divided into layers or groups. From within these different groups, people are selected randomly.

But all of the groups have to be included in the research.

3- Systematic Random Sampling

In this technique, the sample population or the groups are chosen at

random. Once they are selected, the individuals in the sample are chosen at a regular fixed interval. Like every fifth

or tenth person in the sample is selected.

4- Cluster Random Sampling

For researching a large portion of the population, the population is divided into separate groups or clusters and

each cluster could be treated separately for the purpose of research.

B- Non probability Sampling

Non random sampling involves selecting the sample population on non random basis. It means that not

everyone in the population has a equal chance of being selected.

1- Convenience SamplingConvenience sampling is the non

probability sampling technique in which the sample population is

selected at the ease and convenience of the researcher.

sumary Sample Choosing the right sample Essentials for Choosing a Sample Sampling techniques Probability Sampling Simple Random Sampling Stratified Random Sampling Systematic Random Sampling Cluster Random Sampling Non probability Sampling Convenience Sampling

The end Thank you for listing