Sampling Methods Review

These flashcards cover various sampling methods used in research, explaining their definitions and key characteristics.

Consecutive Sampling

A method similar to convenience sampling where the researcher picks a single person or group for analysis, then moves to another group if needed.

Quota Sampling

A sampling method where researchers form a sample that represents a population based on specific traits.

Purposive Sampling

A method of sampling where selections are made based on the researcher's judgment, often leading to highly accurate results.

Snowball Sampling

A chain-referral sampling technique where existing subjects help recruit additional subjects from the targeted population.

Probability Sampling

A sampling technique in which samples are chosen based on probability theory, allowing all members of the population a chance to participate.

Non-Probability Sampling

A sampling technique where samples are chosen based on subjective judgment rather than random selection.

Convenience Sampling

A method where samples are selected from the population directly because they are conveniently available to the researcher.

Systematic Sampling

A method of sampling where selection is made based on a fixed interval from a randomly selected starting point.

Stratified Sampling

A method where the population is divided into smaller groups based on characteristics, and samples are randomly selected from these groups.

Clustered Sampling

A method where clusters or groups within the population are formed for sampling, ensuring that each group has a chance of inclusion.