A sample technique is a method used to select a subset of the population that represents the larger group in a research study. Some common sample techniques include:
1. Random sampling: Participants are chosen at random from the population, giving each individual an equal chance of being selected.
2. Stratified sampling: The population is divided into subgroups based on certain characteristics (e.g. age, gender, income level), and participants are then randomly selected from each subgroup.
3. Convenience sampling: Participants are selected based on their availability and willingness to participate in the study, rather than through random selection.
4. Snowball sampling: Participants are recruited through referrals from existing participants, with the sample size growing like a snowball as more people are referred.
5. Purposive sampling: Participants are selected based on certain criteria or characteristics that are relevant to the research study.
6. Quota sampling: Participants are selected in predetermined proportions to ensure that the sample reflects the diversity of the population.
It is important to carefully consider the sample technique used in a research study to ensure that the sample is both representative of the population and appropriate for the research objectives.
what is sample technique for the research method
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