Estimating and generalizing with clustered sampling in general practice
Related Experiment Video
Updated: Oct 25, 2026

Sampling Soils in a Heterogeneous Research Plot
Published on: January 7, 2019
1Department of General Practice, University of Sydney.
Abstract:
General practice research focusing on patients may involve risk factors, morbidity, medication use or patient satisfaction. When collecting information about patients it is often easier, cheaper and more appropriate to enlist the support of a number of general practitioners (GPs) who provide access to a number of patients. Such studies utilise a 'cluster sampling' (CS) design, as clusters or groups of patients around a GP are used for the investigation. In analysing data from these studies it is necessary to consider the impact that the study design will have on the variance structure of data collected.
Related Concept Videos
Cluster Sampling Method
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
Sampling Plans
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Stratified Sampling Method
To choose a stratified sample, divide the population into groups called strata and then take a...
Systematic Sampling Method
Systematic sampling is one of the simplest methods...
Distributions to Estimate Population Parameter
Convenience Sampling Method
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
