L6 - Sampling Techniques & Pilot Studies Flashcards
Target population
- group researchers are studying and want to generalise results to
E.g. all females aged 20-30 who shop online - sampling techniques are used to obtain sample of target population - can avoid studying whole population as would take too long and be too expensive
Sample
Should be representative of population from which it’s drawn and should have the same characteristics as population
E.g. reflect social classes/ethnicities etc…
Random sampling
- every member of target population has same chance of being selected
- place population names in had then select sample
e.g. first 20 names chosen out of 100
Advantages of random sampling
- if target population is large and large sample is chosen then it’s likely sample will be representing so results can be generalised from sample to target population
- no researcher bias when selecting sample, as it’s been chosen by chance without any conscious choice from researcher - equal chance of being chosen
Disadvantages of random sampling
- can be difficult to get full details of a target population from which to select a sample
E.g. getting women aged 20-30 may be hard as some not registered/in prison
Systematic sampling
- Participants selected by taking every Nth person from a list
E.g. make list of total population then choose every 6th person to be part of sample
Systematic sampling advantages
- simpler then random sampling as it only needs a list of target population then the researcher chooses every nth person - random sampling needs more time/effort (writing names on slips etc..)
Systematic sampling disadvantages
- selection process can interact with hidden periodic trait within population, if selection coincides with periodicity of trait then it would no longer be random
- not all members of target population who are selected will be available/willing to take part - could make sample unrepresentative, some may refuse to take part, reduces size dramatically
Stratified sampling
- classifying population into categories and then randomly choosing sample consisting of participants from each category in same proportions as in population
- population divided into strata in terms of characteristics e.g. age, gender etc…
Stratified sampling advantages
- all groups in population included so it should be representative of population
Stratified sampling disadvantages
- Can be very time consuming as categories have to be identified/calculated, if you don’t have details of all people in target population/relevent strata it would be harder to conduct sample
Opportunity sampling
- select participants who are readily available and willing to take part
- known as convenience sampling - select participants as it’s convient to do so
- may have easy access to a group of people they know well/have regular contact with
Opportunity sampling advantages
- Easiest and most practical method
- especially compared to stratified sampling which may be expensive and time consuming
Opportunity sampling disadvantages
- High chance it won’t be representative of target population
- sometimes people feel obligated to take part in research (esp. if they know person) even if they don’t want to - this is unethical
Volunteer sampling
- people volunteer to participate in study - researcher usually advertises for people to take part through leaflets, posters, radio or TV broadcasts
- means people take notice of info and then can decide if they would like to take part in research and volunteer time
Volunteer sampling advantages
- saves researcher time and effort
- just need to construct some type of advertisement and then wait out for the participants to come to them and volunteer time and involvement
- better then other methods where researcher needs to ask people to take part and ask for full commitment
Volunteer sampling disadvantages
- a certain type of person tends to volunteer (enthusiastic, interested about topic) and this means there’s a high chance that sample obtained will be unrepresentative and won’t accurately represent target population - (volunteer bias)
Pilot study
- A pilot study is an initial run-through of the procedures to be used in an investigation; it involves selecting a few people and trying out the study on them.
- It is possible to save time, and in some cases, money, by identifying any flaws in the procedures designed by the researcher.
- can help the researcher spot any ambiguities (i.e. unusual things) or confusion in the info given to participants or problems with the task devised.
- Sometimes the task is too hard, and the researcher may get a floor effect, because none of the participants can score at all or can complete the task - all performances are low.
- The opposite effect is a ceiling effect, when the task is so easy that all achieve virtually full marks or top performances and are “hitting the ceiling”.
Pilot study - self-report
- When using self-report measures it is important to check as part of the pilot study:
• The participants understand the questions and are prepared to answer them
• That closed questions offer suitable options
• Whether open questions are also needed to elicit unpredictable responses
• Whether the reporting method is appropriate, e.g. if a face-to-face interview is too intimidating should it be changed to a questionnaire?
Pilot study - observations
In observations it is important to check:
• Observers agree on operational definitions of behavioral categories
• Inter-observer reliability - do the researchers need practice observing the behaviours?
• The behavioural categories include all the important behaviours
• The behavioural categories do not overlap
• Whether the participants are affected by the observers - should they be covert?
Pilot study disadvantage
- can be misleading due to small sample size, may not show problem that would be visible in a large sample size
Pilot study advantage
- it can identify problems in the study beforehand, saving time and money