Types Of Sampling

Types Of Sampling

1. Systematic Sample

   • Participants are selected using a st pattern Eg: Every nth participant
   • :)- a complete list of the population is required which takes time and effort
   • :)- Unbiased as the first person is selected at random and the rest is objective.

2. Opportunity Sample

   • Participants who are the most available. Eg: Nearest to the researcher . This can be done by asking people who are nearby
   • :)- It is a quick method and convenient as you make use of those nearest. This makes it one of the most popular sampling methods of all time
   • :(- The sample is biased and unrepresentative of the entire population as it is drawn from one specific area meaning the results cannot be generalised.

3. Stratified Sample

   • Participants are selected depending on their frequency in the target population
   • :)- The characteristics of the target population are represented therefore generalisability is more likely than other methods.
   • :(- It cannot reflect all the ways in which people are different as complete representation is not possible.

4. Random Sample

   • Every person in the target population has an equal chance of being chosen. Eg: Name in a hat
   • :)- Potentially unbiased as researcher has no influence over who is selected
   • :(- Representation is not guaranteed and this limits ability to generalise

5. Population

   • The large group of people that the researcher is interested in studying

6. Volunteer Sample

   • :(- The sample is likely to be biased due to the participants sharing certain traits such as being keen and curious. As a result the sample does not generalise to the whole population
   • Participants volunteer themselves. This can be through the researcher advertising their experiment.
   • :)- Participants have chose themselves so are wiling to take part. They understand the time and effort involved. More likely to be engaged than people stopped on the streets.

7. Sample

   • A smaller group representing the population

8. Generalisations

   • The sample chosen must be representative of the entire population so you can generalise the results