Sampling Methods in Sociology
This page focuses on different sampling methods used in sociological research, including random sampling, quota sampling, systematic sampling, and snowball sampling.
Random sampling involves selecting participants by chance, similar to picking names out of a hat or using a computer randomizer. This method ensures no researcher bias and gives everyone an equal chance of being selected. However, it might result in an unrepresentative sample if by chance all selected participants are similar.
Quota sampling allows researchers to pick participants until they have the number they need from specific categories. This method is quick and easy but may introduce bias as the researcher chooses the participants.
Example: In quota sampling, a researcher might decide to interview 50 men and 50 women for their study.
Systematic sampling uses a system to pick participants, such as selecting every 10th name on a register. This method provides a cross-section of the population but limits selection to those on the list.
Snowball sampling starts with one participant who then helps the researcher connect with others. This method is useful for researching hard-to-contact groups but can be time-consuming and may result in small, non-generalizable samples.
Highlight: Understanding the strengths and weaknesses of different sampling methods is crucial for GCSE Sociology research methods Knowledge Organiser preparation.
The page also introduces main ethical issues that researchers must consider, including privacy, confidentiality, deception, right to withdraw, informed consent, protection from harm, and anonymity.
Quote: "Main ethical issues researchers have to take into consideration: Privacy, Confidentiality, Deception, Right to withdraw, Informed consent, Protection from harm, Anonymity"