Glossary
Glossary | |
These is glossary of research key terms. This glossary is intended as an aid to
professionals and non-professionals who find the world of research
somewhat intimidating. While it is impossible to cover all the terms
that can be confusing, this document briefly defines some of the more
common terms and concepts. | |
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| Cluster Sampling | 1. A multi-stage sampling scheme in which the population is first divided into clusters, then a sample of these clusters is chosen via simple random sampling, and then a simple random sample of population elements is selected within the chosen clusters. This differs from stratified sampling in that in stratified sampling, all strata are sampled, whereas in cluster sampling we take a sample of clusters, not all clusters. Cluster sampling is used when it is difficult to construct a sampling frame for the entire population, or when it is too costly to visit randomly chosen population elements. 2. a probability sampling strategy involving successive sampling of units (or clusters); the units sampled progress from larger ones to smaller ones (e.g. health authority/health board, trust, senior managers). |
| Glossary V2.0 | |
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