sampling Flashcards
what is a sample?
the people the researcher actively uses in the research
group of people who take part in your research investigation. the sample is drawn from a target population and is presumed to be representative of that population
what is a population?
the population is the group of people from whom the sample is drawn
we use a target population if we want to investigate specific individual differences
what is a sampling frame?
a list of people in a target population organised into a certain order e.g: alphabetical order
what are the 5 sampling types?
random
systematic
stratified
volunteer
opportunity
what is random sampling?
each person has an equal chance of being selected
outline how to carry out a random sample
- obtaining a complete list of all the names of the members in the target population.
- all of the members are assigned a number
- the actual sample is chosen by lottery method or something similar like using a computer, or picking numbers from a hat
advantages of random sampling
- no researcher bias - no influence
- a random sample is potentially unbiased, any confounding or extraneous variables are equally divided between different groups. (increased internal validity)
- more likely to have a representative sample
disadvantages of random sampling
- time consuming
- a complete list of the whole target population can be very difficult in large studies.
- still potentials for a sample that is less representative
- volunteer bias - selected participants may be unwilling to take part
what is systematic sampling?
sample where every nth member of the target population is chosen. e.g: ever 3rd student in a register.
- then a sampling frame is chosen
outline how to carry out a systematic sample
advantages of systematic sampling
- it is objective
- no researcher bias - no influence
- fair representation of population
disadvantages of systematic sampling
- time consuming
- participants could refuse to participate (results in a Volunteer sample)
what is stratified sampling?
form of sampling where the make up of the sample reflects the proportions of people in certain subgroups within the target population
outline how to carry out a stratified sample
- identify the strata
- calculate the required proportion for each stratum based on the size of the target population
- select the sample at random for each stratum
- to do this, you can use a random selection method e.g. using a computer
advantages of stratified sampling
- no researcher bias - no influence
- produces a representative sample because its designed to reflect the make up of the target population
- generalisation of results is possible