Experiments allow us to study cause and effect (causation). They have an IV, and DV and attempt to control other extraneous variables.
4 types of experiment:
Laboratory experiments
Field experiments
Natural experiments
Quasi experiments
Laboratory experiments are conducted under controlled conditions in which the researcher changes the IV to see the effect on the DV.
Field experiments are carried out in a natural setting, in which the researcher manipulates the IV to see the effect on the DV
Natural experiments are where the change in the IV is not bought about by the researcher but would have happened even if the researcher wasn’t there.
Quasi experiments are where people are compared on an existing difference (IV) that simply exists (has not been determined by anyone) e.g. age or gender
lab experiments -
strengths
High level of control over the environment and extraneous variables – increases validity
Easy to replicate and check results
limitations
Lacks ecological validity – due to researcher control, findings can’t be easily generalised to real life
field experiments -
strengths
There is some degree of control but in a natural environment so have good internal and external validity
limitations
Less control than lab experimenters so extraneous variables are more likely to distort data, lowering internal validity
natural experiments -
strengths
Provide opportunity to research things which may not be practical/ ethical if they hadn’t occurred naturally
limitations
A naturally occurring event may happen rarely, reducing research opportunities.
You may not be able to randomly allocate pps to conditions
quasi experiments -
strengths
Often carried our under controlled conditions so have high internal validity
limitations
Cannot randomly allocate pps to conditions so there may be confounding variables