sampling Flashcards
Define population
The group of individuals a researcher is interested in and about whom generalisations can be made.
Define sample
A smaller group of the population; representative so that generalisations about the population can be made.
Name the sampling methods
Volunteer sample
Opportunity sample
Random sample
Stratified sample
Systematic sample
Opportunity sampling
A sample produced by selecting people who are most easily available at the time of the study.
Strength of opportunity sampling
The easiest method; you use first suitable participants you can find. Therefore, is less time consuming.
Limitation of opportunity sampling
Inevitably biased; sample is drawn from a small part of the population.
Random sampling
A sample produced by using a random technique such that every member of the target population being tested has an equal chance of being selected.
Name random techniques
Random number generators
The lottery method
The lottery method
Drawing numbers or names out of a hat.
- Obtain a list of all the people in the population.
- Put all the names in a lottery barrel or hat.
- Select the number of names required.
Strength of random sampling
Unbiased; all members of the target population have an equal chance of selection.
Limitation of random sampling
Time consuming; need to have a list of all the members of the population and then contact all of those selected.
Stratified sampling
A sample produced by identifying strata (subgroups) according to their frequency in the population. Participants are then selected randomly from the strata.
Strength of stratified sampling
More representative; a proportional and randomly selected representation of strata.
Weakness of stratified sampling
Very time consuming to identify subgroups then randomly select participants and contact them.
Systematic sampling
A sample produced by using a predetermined system to select participants; obtained by selecting every nth person.