Target population
The group who researchers are studying and want to generalise their results to
Sample
Should be representative of the population from which it is drawn and should therefore have the same characteristics as the population
Too expensive to study entire populations so samples are used
Random sampling
When every member of the target population has the same chance of getting selected
Put names in hat and draw from them
Advantages of random sampling
If target pop is large and a large sample is drawn then it’s likely the sample will be representative, so results can be generalised to target pop
No researcher bias when selecting the sample cause it has been chosen by chance without any conscious choice. Everyone has an equal choice of being selected
Disadvantages of random sampling
Sometimes hard to get full details of a target population from which to select a sample. Eg- it is not possible to get a full list of all of the women aged 20-30 as some women might not appear on the list due to being in prison, not being registered etc.
Not all members of the target population who are selected to take part will be available or willing to take part, making the sample unrepresentative. Some people might refuse to take part in a study. This could reduce the sample size too.
Systematic sampling
When pps are selective by taking every Nth person from a list
They become your sample
Advantages of systematic sampling
Systematic sampling is far more simple than random sampling as it only requires a list of the target population, and then the researcher decides to select every nth person. Random sampling requires a lot more time and effort
Disadvantages of systematic sampling
1) The process of selection can interact with a hidden periodic trait within the population. If the sampling technique coincides with the periodicity of the trait, the sampling technique will no longer be representative
Not all members of the target population who are selected to take part will be available or willing to take part, making the sample unrepresentative. Some people might refuse to take part in a study. This could reduce your sample size dramatically too.
Stratified sampling
Classifying the population into characteristics and then randomly choosing a sample which consists of pps from each category in the same proportion as the total population
Population divided into strata based on characteristics
Advantage of stratified sampling
1) The strength of stratified sampling is that all groups within a population are included, therefore the sample should be representative of the population
Disadvantage of stratified sampling
1) Stratified sampling can be very time consuming as the categories have to be identified and calculated. If you do not have details of all the people in your target population or the relevant strata, you would struggle to conduct a stratified sample.
Opportunity sampling
Selecting pps who are readily available and willing to take part
Aka convenience sampling
Advantage of opportunity sampling
1) This is the easiest and most practical method of ensuring large samples especially when compared to stratified sampling which might be very time consuming and expensive to carry out.
Disadvantage of opportunity sampling
1) There is a high chance that the sample will not be representative of the target population. Sometimes people feel obliged to take part in research (especially if someone they know is conducting the research, they might find it hard to say no) even when they do not really want to, this is unethical
Volunteer sampling
Involves ppl volunteering to participate in a study
Advantage of volunteer sampling
1) This method saves the researcher time and effort. The researcher needs to construct some kind of advertisement for the study and then just needs to wait for the participants to come to them to volunteer their time and involvement. This is better than other sampling methods where the researcher needs to ask people to take part and needs their full commitment.
Disadvantage of volunteer sampling
1) A certain type of person tends to volunteer (enthusiastic, interested in your topic) and this means that there is a very high chance that the sample obtained will be unrepresentative and will not accurately reflect the target population (volunteer bias).
What is a floor effect
When a task is too hard and participants score very low or cannot complete it at all.
What is a ceiling effect
When a task is too easy and participants achieve full or near-full marks
What should be checked in a pilot study when using self-report measures?
Whether participants understand the questions and are willing to answer them.
Why must closed questions be checked in a pilot study?
To ensure the response options are suitable and cover possible answers.
Why might open questions be needed in self-report measures?
To allow participants to give unpredictable or detailed responses.
Why is the reporting method checked in a pilot study?
To see if it is appropriate (e.g. changing a face-to-face interview to a questionnaire if it is intimidating).
What must observers agree on in an observational pilot study?
Clear operational definitions of behavioural categories.