Lesson 6 Sampling Techniques and Pilot Study Flashcards
Target Population
This describes the group who researchers are studying and want to generalise their results to. For example the target population might be all females aged 20-30 that shop online.
Sampling techniques are used to obtain a sample of the target population and are essential to avoid studying entire populations, which would take too long and be too expensive.
Sample
A sample should be representative of the population from which it is drawn and should therefore have the same characteristics as the population. E.g. if the female target population aged 20-30 consists of different social classes and ethnicities, then the sample should reflect this too.
Random Sampling
Random sampling is when every member of the target population has the same chance of being selected. The easiest way to do this is to place all names from the target population in a hat e.g. 100 possible participants from the sixth form that study psychology and Maths. We then select our sample, e.g. the first 20 participants’ names that are drawn from the hat.
Advantages of Random Sampling
1) If the target population is large and a large sample is drawn, then it is likely the sample will be representative and therefore results can be generalised from the sample to the target population.
2) There is no researcher bias when selecting the sample, this is because the sample have been chosen by chance without any conscious choice from the researcher. Everyone has an equal chance of being selected.
Disadvantages of Random Sampling
1) It is sometimes difficult to get full details of a target population from which to select a sample. An example might be that it is not possible to get a full list of all of the women aged 20-30 in the UK as some women might not appear on the list due to being in prison, not being registered etc.
2) Not all members of the target population who are selected to take part will be available or willing to take part, making the sample unreliable Some people might refuse to take part in a study. This could reduce your sample size dramatically too.
Systematic Sampling
Systematic sampling is a sampling strategy where participants are selected by taking every Nth person from a list. So for example, make a list of the total population of the sixth form that you wish to study, and then select every 6th person on the list. These people 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 (gain the list of the target population, put all of the individual names on bits of paper, and then randomly select a number of people to form the sample)
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 random
2) 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
Stratified sampling involves classifying the population into categories and then randomly choosing a sample which consists of participants from each category in the same proportions as they are in the population.
The population are divided into strata in terms of characteristics e.g. age, gender etc. A sample is then selected that reflects these characteristics, e.g. 51% female and 49% male. Data about the sample in the UK can be gained from the Census. Stratified samples can ensure that the sample is representative.
Advantages of Stratified Sampling
The strength of stratified sampling is that all groups within a population are included, therefore the sample should be representative of the population.
Disadvantages of Stratified Sampling
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
Opportunity sampling involves selecting participants who are readily available and willing to take part.
This is sometimes known as convenience sampling. This involves selecting participants simply because it is convenient to do so. Psychologists might have easy access to a group of people that they know well or have regular contact with. It might therefore be convenient to approach these people to ask them to take part in their research
Advantages of Opportunity Sampling
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.
Disadvantages of Opportunity Sampling
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
Volunteer sampling involves people volunteering to participate in a study. The researcher will usually ask for people to take part in their research. Researchers can advertise by using leaflets, posters, radio or TV broadcasts. These forms of communication means that people take notice of the information and can then decide if they would like to take part in the research and volunteer their time.