Lesson 6 - Sampling methods Flashcards
(13 cards)
Strengths of random sampling
There is no researcher bias when selecting the sample because it has been chosen by chance with no conscious choice from the researcher. Equal chance of being picked
Weaknesses of random sampling
Might be impractical with very large groups, like assigning a number to 100s of people
What is systematic sampling?
Taking every 10th person from a list, for example.
Strengths of systematic sampling
Far more simple than random sampling.
Less time consuming than random sampling.
Weaknesses of systematic sampling
Some may refuse to take part, dramatically decreasing the size of the sample
Strengths of stratified sampling
Representative of the population, more generalisable
Weaknesses of stratified sampling
Can be time consuming as the categories need to be identified and then calculated as proportions. You also need details on all the people in the relevant strata.
What is opportunity sampling?
Involves selecting participants who are readily available and willing to take part. Could be people they know quite well, or people they have contact to
Strengths of opportunity sampling
This is the most practical and easy method of getting a sample together.
Weaknesses of opportunity sampling
There is a high chance that the sample is unrepresentative of the target population. Some people may just feel obliged to take part because they know you personally, even if they do not really want to. So this is unethical.
What is volunteer sampling
The investigator will put out an ad or ask for people to participate and people will come forward to participate. Can be done through TV ads, posters, radios etc.
Strengths of volunteer sampling
Saves the researcher themselves time and effort. All they need to do is construct an ad for the study and then wait. This is better than other sampling methods like stratified sampling where the investigator needs to calculate proportions of the strata.
Weaknesses of volunteer sampling
A certain type of person needs to volunteer - enthusiastic, willing, interested in the topic. Therefore there is a very high chance that the sample obtained will be unrepresented as it will not reflect the target population (volunteer bias).