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Sampling And Sampling Techniques
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Cards (19)
Population
refers to an entire group that is under the study or investigation
Parameters
- measurement that describe the population
Sample
- A subset taken from a population
Sample
- A representation of the population with which one hopes to draw a valid conclusion
Statistics
- measurement that describe the sample
Sampling
- Process or technique of selecting a representative sample from the entire population to achieve biased results
Probability sampling
- A sampling technique in which the subjects of the population gets an equal opportunity to be selected as representative sample
Non probability sampling
- A method of sampling where the sample is not a proportion of the population and there is no system for selecting a sample
Types of probability sampling
Simple
random sampling
Systematic
Sampling
Stratified
sampling
Cluster
sampling
Multistage
sampling
Types of non-probability sampling
Accidental
Sampling
Convenience
Sampling
Snowball
Sampling
Quota
Sampling
Purposive
Sampling
Simple Random Sampling
- A sampling technique that involves selecting a sample from a population by randomly selecting members of the population.
Systematic
Sampling - Every kth element of the population is selected until the desired number of the elements in the sample is obtained
Stratified
Sampling - The population is divided into groups called strata, which is based on similar chareacteristics
Cluster Sampling
- Elements of the population is divided into groups called cluster
Multistage Sampling
- A combination of different sampling techniques is done in selecting respondents
Accidental
Sampling - Only those whom the researchers meet by chance are included in the sample
Convenience Sampling
- People are selected by simply because theyu are convenient sources of data for researchers
Quota Sampling
- Where you take a very tailored that's in proportion to some characteristics or trait of a population
Purposive Sampling
- The sample is defined for a purpose that is relevant to a specific study or research