Certainly! Non-probability sampling techniques are those where not all members of the population have a chance of being selected. Here are four common non-probability sampling techniques used in research:
1. **Convenience Sampling**: This method involves selecting samples that are easiest to access. Researchers choose participants who are readily available and convenient to reach.
2. **Purposive (Judgmental) Sampling**: In this technique, researchers use their judgment to select participants that they believe are most representative of the population. It is often used when a researcher is looking for specific characteristics in participants.
3. **Snowball Sampling**: This approach is often used when it is difficult to locate participants. Existing study subjects recruit future subjects from among their acquaintances. Thus, the sample group appears to grow like a rolling snowball.
4. **Quota Sampling**: In this method, researchers segment the population into mutually exclusive sub-groups and then choose participants from each subgroup to meet a predefined quota. The selection within each subgroup, however, is non-random.
These non-probability sampling techniques are often employed in qualitative research and exploratory studies where the goal is to gain insights rather than to generalize findings to the entire population.
List four non probability sampling techniques used in research.
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