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Extraneous variable
any variable other than the IV that could influence the DV
Demand characteristic
Any cue that may inform the participant as to the purpose of an experiment
Participant reactivity
Participants reacting to unnatural behaviour from the investigator
Investigator effect
Any way the investigator themselves may affect the outcome/DV. This could be due to their behaviour or the design of their experiment
Internal validity
Whether the design and conduct of a study can support that a causal relationship exists between the independent and dependent variables.
Control group
The group of participants who receive no treatment. Their behaviour acts as a baseline against which the effect of the IV may be measured
Randomisation
The use of chance methods to control for the effects of bias when designing materials and deciding the order of experimental conditions
Standardisation
Using exactly the same formalised procedures and instructions for all participants in a research study
Order effects
Changes in a participant's performance or behaviour caused by the sequence in which they experience conditions in a repeated measures design
Lab experiment
The researcher manipulates the IV in a controlled environment
Field experiment
The researcher manipulates the IV in an everyday setting
Natural experiment
The researcher has no control over the IV, someone or something else does
Quasi experiment
The researcher cannot manipulate the IV, as it is an existing difference between people, such as age
social desirability bias
To conform to social norms or expectations often to avoid embarrassment or gain approval
Laboratory experiment - Strengths
Extraneous variables can be controlled
Randomisation can be done to improve internal validity
Samples sizes can be selected
Easily replicated
Standardisation can be done
Laboratory experiment - Limitations
Participants may be uncomfortable in new scenario affecting performance
Hawthorne effect as they need to go into a new place
Field experiment - Strengths
High ecological validity
Demand characteristics are less likely to occur as participant may not know they are being studied
Field experiment - Limitations
Less control of extraneous variables
Randomisation is not always done
Natural experiment - Strengths
More mundane realism
Can investigate IVs that would be unethical or impractical to do in an experiment
As investigator doesn’t affect IV, investigator effects less likely to occur
Natural experiment - Limitations
People are not randomly allocated
Less standardisation
Extraneous variables likely to impact investigation
Quasi experiment - Strengths
Can be done when there are practical or ethical reasons why participants can't be randomised
Can be used in real world settings
Quasi experiment - Limitations
People are not randomly allocated
Lower internal validity due to no random assignment
Population validity
The extent to which findings can be generalised to a wider population
Researcher bias
An unintentional influence a researcher has on a study/procedure that affects the results/outcome