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Bot GPT 3.5 1. Probability Sampling: Probability sampling is a sampling technique where each member of the population has a known and non-zero chance of being selected for the sample. This type of sampling ensures that every member of the population has an equal chance of being included in the sample, making the sample representative of the population as a whole. Common methods of probability sampling include simple random sampling, stratified sampling, and cluster sampling.
2. Non-Probability Sampling: Non-probability sampling is a sampling technique where not every member of the population has an equal chance of being selected for the sample. Instead, participants are selected based on criteria chosen by the researcher. Non-probability sampling methods include convenience sampling, purposive sampling, and snowball sampling. While non-probability sampling may be quicker and easier to implement, it can introduce bias into the sample and may not accurately represent the population.
3. Sequential Sampling: Sequential sampling is a method in which the researcher first collects data using one type of sampling method, and then switches to another sampling method for further data collection. This approach allows the researcher to gather a more comprehensive understanding of the research topic by combining the strengths of different sampling methods. For example, a researcher may use probability sampling to select a representative sample of participants, and then use purposive sampling to gather more in-depth information from specific subgroups.
4. Quota Sampling: Quota sampling is a non-probability sampling method in which the researcher divides the population into subgroups based on certain criteria, and then selects participants from each subgroup until a predetermined quota is met. Quota sampling is often used when it is difficult to obtain a truly random sample, such as in situations where the population is not well-defined or when time and resources are limited. While quota sampling can be useful for ensuring diversity within the sample, it may not be representative of the population as a whole.