Identify types of sampling methods?

1. Simple random sampling
2. Systematic sampling
3. Stratified sampling
4. Cluster sampling
5. Convenience sampling
6. Snowball sampling
7. Quota sampling
8. Purposive sampling
9. Volunteer sampling
10. Judgmental sampling

Probability Sampling Methods:

- Simple Random Sampling: Each individual in the population has an equal chance of being selected.
- Systematic Random Sampling: Individuals are selected at regular intervals from a list or database.
- Stratified Random Sampling: The population is divided into strata (groups with similar characteristics), and random samples are taken from each stratum.
- Cluster Random Sampling: The population is divided into clusters (groups of individuals), and a few clusters are randomly selected.

Non-Probability Sampling Methods:

- Convenience Sampling: Individuals who are easily accessible are selected.
- Quota Sampling: Individuals are selected based on specific quotas for different demographics or characteristics.
- Purposive Sampling: Individuals are selected because they possess specific knowledge or expertise relevant to the research.
- Snowball Sampling: Individuals are recruited through referrals from other individuals already in the sample.
- Accidental Sampling: Individuals are selected based on their availability at a particular time and place.

Hybrid Sampling Methods:

- Two-Stage Sampling: Combines systematic random sampling and stratified random sampling.
- Multi-Stage Sampling: Involves multiple stages of random and non-random sampling.

Other Sampling Methods:

- Respondent-Driven Sampling: Individuals recruit other individuals who are similar to them.
- Adaptive Sampling: Adjusts the sampling strategy based on the data collected during the study.
- Digital Targeted Sampling: Uses online platforms or digital devices to recruit specific individuals.