Question

Discuss Multiple sampling methodologies and why it is important

Answer 1

Multiple sampling methods / Techniques in data collection in social science are

1. Simple random
2. Cluster
3. Stage
4. Purposive
5. Quota
6. Volunteer
7. Accidental

Multiple sampling is an extension of double sampling, which involves the inspection of 1 to k successive samples.

There is also what is called, the multi-stage sample, which is one in which sampling is done sequentially across two or more hierarchical levels.

Example:

Importance of Using Multiple Sampling Methodologies for Estimating of Fish Community Composition in Offshore Wind Power Construction Areas of the Baltic Sea:

It is standard procedure that an Environmental Impact Assessment (EIA) is conducted before larger constructions are built. To adequately describe the impact, methods used in an EIA should be carefully adapted considering both the character of the constructions under development and the environment that will be affected. Various sampling techniques are applied to estimate fish abundances and species composition. Methods used, including trawling, seine and gill netting, angling, echo-sound sampling, fishery data, video recordings, dredging, and visual counts using SCUBA, will all give different estimates of fish community composition.