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Approach of getting a sample in research methods ???
Anonymous
Feb 14
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Feb 14
There are several approaches to obtaining a sample in research methods, depending on the specific research question and the population being studied. Here are some common approaches:
1. Probability sampling: This approach involves randomly selecting participants from the target population, ensuring that each individual has an equal chance of being included in the sample. Probability sampling methods include simple random sampling, stratified random sampling, and cluster sampling.
2. Non-probability sampling: This approach involves selecting participants based on criteria other than random selection. Non-probability sampling methods include convenience sampling, purposive sampling, snowball sampling, and quota sampling. Non-probability sampling is often used when it is difficult or impractical to obtain a random sample.
3. Quasi-experimental sampling: This approach is used in quasi-experimental research designs, where participants are assigned to different groups based on pre-existing characteristics or conditions. Quasi-experimental sampling methods include matched-pairs sampling and pretest-posttest sampling.
4. Sampling from existing databases: Researchers may also obtain a sample by accessing existing databases or records, such as medical records, census data, or administrative records. This approach can be useful when studying large populations or when longitudinal data is needed.
5. Sampling in qualitative research: In qualitative research, sampling is often purposeful and based on the principle of saturation, where data collection continues until no new information or themes emerge. Qualitative sampling methods include maximum variation sampling, purposive sampling, and theoretical sampling.
It is important for researchers to carefully consider the strengths and limitations of each sampling approach and select the most appropriate method for their research question and available resources.
1. Probability sampling: This approach involves randomly selecting participants from the target population, ensuring that each individual has an equal chance of being included in the sample. Probability sampling methods include simple random sampling, stratified random sampling, and cluster sampling.
2. Non-probability sampling: This approach involves selecting participants based on criteria other than random selection. Non-probability sampling methods include convenience sampling, purposive sampling, snowball sampling, and quota sampling. Non-probability sampling is often used when it is difficult or impractical to obtain a random sample.
3. Quasi-experimental sampling: This approach is used in quasi-experimental research designs, where participants are assigned to different groups based on pre-existing characteristics or conditions. Quasi-experimental sampling methods include matched-pairs sampling and pretest-posttest sampling.
4. Sampling from existing databases: Researchers may also obtain a sample by accessing existing databases or records, such as medical records, census data, or administrative records. This approach can be useful when studying large populations or when longitudinal data is needed.
5. Sampling in qualitative research: In qualitative research, sampling is often purposeful and based on the principle of saturation, where data collection continues until no new information or themes emerge. Qualitative sampling methods include maximum variation sampling, purposive sampling, and theoretical sampling.
It is important for researchers to carefully consider the strengths and limitations of each sampling approach and select the most appropriate method for their research question and available resources.
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