Yr 1 research methods - Types of experiment, sampling, ethical issues and ways of dealing with them. Flashcards
To review research methods from year 1 (45 cards)
Laboratory experiment
An experiment that takes place in a controlled setting where the experimenter manipulates the IV, measures the DV and tries to control extraneous variables.
Field experiment
An experiment that takes place in a natural setting where the experimenter manipulates the IV, measures the DV and tries to control extraneous variables.
Natural experiment
Experiment in which the experimenter hasn’t changed the IV but this has already occurred naturally. The experimenter measures the effect on the DV
Quasi experiment
Experiment in which the IV is based on a difference between groups that already simply exists. The experimenter just measures the effect of this on the DV. For example, whether having a phobia or not having a phobia affects anxiety levels.
2 strengths of laboratory experiments
- More extraneous variables can be controlled
2. Replication is more possible
2 weaknesses of laboratory experiments
- They can lack external validity as they may not reflect real life behaviours (lack generalisability)
- Demand characteristics can affect behaviour as participants may pick up clues about what the experiment is testing
2 strengths of field experiments
- Higher mundane realism because the setting is natural
2. Tend to produce more authentic behaviour, especially because sometimes particpants don’t know they’re being studied.
2 weaknesses of field experiments
- Less control is possible over extraneous variables so cause and effect more difficult to establish
- Ethical issues can be more of an issue as if they don’t know they’re being studied, consent can’t be gained
2 strengths of natural experiments
- Allows study of behaviours and issues that couldn’t normally be studied for ethical or practical reasons (e.g. institutionalisation in attachment)
- Often have high external validity because they’re naturally occurring changes
2 weaknesses of natural experiments
- Happen very rarely so reduce the opportunities for research
- Participants can’t be randomly allocated to conditions in independent groups designs so affects confidence in the IV causing changes in the DV.
2 strengths of quasi experiments
- Often carried out under controlled conditions so extraneous variables can be minimised
- Replication is possible to a certain extent
2 weaknesses of quasi experiments
- Participant variables are more difficult to control
2. Participants can not be randomly allocated to conditions so confounding variables may affect the DV
Target population
The group of people that the researchers are interested in finding out about. They are a subset of the general population
Sample
The group of participants that take part in a study. This is a smaller group of the target population as you can’t normally include them all!
Representative
Used to describe how a sample used is as similar as possible to the target population
Generalisation
The extent to which the results gained can be applied more broadly to the target or general population
Sampling technique
The method used by psychologists to get their sample of participants. There are 5 you need to know.
Random sampling
All members of the target population have an equal chance of being selected
Systematic sampling
Where every ‘nth’ member of the target population is selected until you have the number required for your sample
Stratified sampling
The composition of the sample reflects the proportions of people as they exist in the target population. e.g. % of males, ages, ethnicity.
Opportunity sampling
Where the researchers simply ask a group of people who are willing and available to take part in the study
Volunteer sampling
Where a group of participants select themselves to take part in the study by volunteering to take part. e.g. respond to an advertisement
Strengths of random sample
- This reduces researcher bias
2. More likely to result in a more representative sample
Weaknesses of random sample
- You still may, randomly, end up with an unrepresentative sample
- Difficult and more time consuming to conduct