Research Methods: L1-5 Flashcards
Independent variable
The variable the researcher manipulates to determine its effect on the DV. Can be divided into levels - experimental conditions
Control condition
Provides a standard which experimental conditions are measured
Dependent variable
The variable being measured
Extraneous variables
Any variables other than IV that could affect the DV
Confounding variables
Any variables (other than IV) that have affected the DV eg light or noise
Operationalisation
The variables must be defined and stated how it was measured. Eg ‘aggression means how angry or irritated a person is and this can be measured by displays of verbal or physical acts of aggression in a 10 minute period’
Laboratory experiments
Experiments are carried out in a controlled environment, allowing a high level of control over the IV and eliminate any EV.
Participants are randomly allocated.
The setting is artificial.
Observations
When a researcher watches or listens to participants engaging in the behaviour being studied
Design of observations
- Recording data - Make written notes or audio/visual recordings for a permanent record
- Categorising data - Define variables into categories and operationalise
Advantages of laboratory experiments
- High level of control over the IV and conditions (easy to control extraneous variables)
- The researcher can manipulate the IV to establish a cause and effect relationship between the IV & DV
- The experiment can be easily repeated to test reliability
Disadvantages of laboratory experiments
- Demand characteristics might occur within the study. Some participants may display social desirability bias (behaving in a more positive light than normal)
- A high level of control over the IV and EV may lead to a lack in mundane realism (the extent the experiments reflect real life) this can lead to a lack in ecological validity
Field experiments
When the experiment is carried out in the real world or a natural setting, rather than a lab setting
Advantages of field experiments
- More mundane realism and ecological validity than in a lab (better reflects life)
- Researcher can manipulate the IV to establish a cause and effect relationship between the IV and DV
- Lower chance of demand characteristics as people may behave more naturally
Disadvantages of field experiments
- Less control over EV, therefore validity may come into question
- Less control over the subject (may not be representative of the population)
- Difficult to replicate (unreliable)
Natural experiments
The researcher takes advantage of naturally occurring IV (not manipulated by by the experimenter) to see its affect on the DV
Advantages of natural experiment
- High level of ecological validity and mundane realism when compared to lab experiments
- Useful when impossible/unethical to manipulate the IV
Disadvantages of natural experiments
- Low control over EV
- Difficult to replicate (reliability)
- Difficult to determine cause and effect
Quasi experiments
Contain a naturally occurring IV (the difference between people that already exists eg age) the researcher examines the defect this has on the DV
Advantages of quasi experiments
- High level of control
- Replication is very likely
Disadvantages of quasi experiments
- Lack of ecological validity
- Demand characteristics may occur
Observations
When a researcher watches/listens to participants engaging in the behaviour they are studying
Design of observations
Recording data - Make written/audio recording for a permanent record
Categorising data - Define observable data into categories
Non-participant observations
When the researcher is not directly involved in the activity/interactions of participants
Advantage of non-participant observation
Prevents the researcher from developing bias as they are an objective observer
Disadvantage of non-participant observation
People may feel they are being watched and act differently, preventing accurate results