Probability Sampling

1. Rely on random selection, ensuring that each member of the population has a known, non-zero chance of being selected. This reduces selection bias and helps in making generalizable conclusions.

Non-Probability Sampling

1. Not rely on random selection. These are often easier and cheaper to implement but can introduce bias, making it harder to generalize findings to the entire population.

Define research population

1. The video starts by explaining the importance of clearly defining your research population, which is the entire group of individuals or elements you are interested in studying.

Precisely specify the group you want to study to make data collection easier and more representative.

Choose cases based on clear rationale to deeply understand specific contexts, not for generalization.

A representative sample is important for drawing accurate conclusions about the population. Ensure that your sampling method minimizes bias and reflects the diversity of the population.

Population Specification in Research

Sampling Techniques Choice

Qualitative Research Considerations