Adaptive Cluster Sampling
- Selects representative samples by dividing a population into smaller clusters and drawing samples from randomly chosen clusters.
- Often more efficient and cost-effective than other sampling methods for surveys and research.
- Helps obtain a more diverse sample and allows inclusion of additional variables (for example, geographic location or demographic characteristics).
Definition
Section titled “Definition”Adaptive cluster sampling is a sampling method used to select a sample from a population by dividing the population into smaller clusters or units, randomly selecting clusters (with the number chosen based on population size and desired sample size), and drawing a sample from each selected cluster to represent the entire population.
Explanation
Section titled “Explanation”- The population is partitioned into multiple smaller clusters or units.
- Clusters are selected at random; the number of clusters selected depends on the size of the population and the desired sample size.
- From each selected cluster, a sample of individuals is drawn.
- The samples from the selected clusters are used to represent the entire population.
- Compared to other sampling methods, adaptive cluster sampling is presented as more efficient and cost-effective, can produce a more diverse and representative sample across geographic and demographic groups, and permits inclusion of additional variables (such as geographic location or demographic characteristics) in the analysis.
Examples
Section titled “Examples”Prevalence of obesity in a city
Section titled “Prevalence of obesity in a city”The population is divided into smaller units based on geographic location, such as neighborhoods or districts. A random sample of these clusters is selected, and a sample of individuals is drawn from each cluster. This sample is used to represent the entire population of the city, allowing determination of the prevalence of obesity.
Effects of a new medication on blood pressure
Section titled “Effects of a new medication on blood pressure”The population is divided into smaller units based on age and gender, with separate clusters for males and females in different age ranges. A random sample of these clusters is selected, and a sample of individuals is drawn from each cluster. This sample is used to represent the entire population, allowing determination of the effects of the medication on blood pressure.
Use cases
Section titled “Use cases”- Surveys and research studies where representative, efficient, and cost-effective sampling is needed.
Related terms
Section titled “Related terms”- Sampling
- Cluster sampling
- Sampling methods