Samplingtechniquesforthesiswriting
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The document discusses the concept of sampling in research, highlighting the importance of selecting a representative sample from the entire population. It outlines various techniques for sampling, including probability methods like simple random and stratified sampling, as well as non-probability methods such as convenience sampling. The document emphasizes that careful consideration of sample size and demographics is crucial for conducting effective research.
Samplingtechniquesforthesiswriting
- 1. Presented by Shenam Ashfaq Shah AbdulAzeem
- 2. 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.
- 3. It 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.
- 4. 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 like Age Gender Income Occupation Residence Education Religion Believes
- 5. A- Probability Sampling 1- Simple Random Sampling 2- Stratified Random Sampling 3- Systematic Random Sampling 4- Cluster Random Sampling B- Non probability Sampling: 1- Convenience Sampling
- 6. Probability sampling is the random sampling in which every individual of the sample has an equal opportunity to be selected for the research.
- 7. Simple 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.
- 8. In 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.
- 9. 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.
- 10. 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.
- 11. 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.
- 12. Convenience sampling is the non probability sampling technique in which the sample population is selected at the ease and convenience of the researcher.
- 13. 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
- 14. Thank you for listing