Research Methods - Sampling Flashcards
Bias
Certain groups being over/under represented within a sample
Generalisation
Application to the wider population
Volunteer sampling
Participants self-select themselves for a research study
Opportunity sampling
Choosing people who are around/available at the time
Stratified sampling
Number in group/number in population x sample size
Systematic sampling
Selecting the sample based off an nth term in the target population
Random sampling
Equal chance of being selected from the population
Strengths of random sample
- Laws of probability makes it representative
- Free from researcher bias
Limitations of random sample
- Difficult & time consuming
- Unrepresentative of population
- Participants may refuse to take part
Strengths of systematic sampling
- Objective system makes it free from bias
- Fairly representative
Limitations of systematic sampling
- Time consuming
- Not an equal chance of being selected
- May refuse to take part
Strengths of stratified sampling
- Mathematic method makes it representative & generalisable
- Avoids bias
Limitations of stratified sampling
- Time consuming
- Not reflecting how people are different
Strengths of opportunity sampling
- Easy & minimal input
- Cost efficient
Limitations of opportunity sampling
- Researcher bias
- Unrepresentative