Independent variable
This is the variable that the researcher manipulates in order to determine its effect on the dependent variable. The independent variable may be divided into levels, sometimes referred to as experimental conditions.
Control condition
To provide a standard against which experimental conditions can be compared, there may be a control condition where the IV is not manipulated at all e.g. no chocolate and the effect on mood
Dependent variable
This is the variable that is being measured (mood)
Extraneous variable
These are any variables other than the IV that COULD affect the DV.
Confounding variable
These are any variables (other than the IV) that HAVE affected the DV. Examples include light and noise
Operationalisation
For an experiment to be successful, the dependent and independent variables must be operationalised, therefore the variables need to be defined and stated how it will be measured. For example, if measuring aggression in children this must be defined and measured, e.g. ”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
This is when an experiment is carried out in a controlled environment, such as a laboratory, allowing the researcher to exert a high level of control over the IV and eliminate any EV. The researcher can then observe and measure the change in the DV caused by their manipulation of the IV.
Participants (people who take part in psychological research) are randomly allocated to a condition. This means neither the experimenter nor the participants decides which condition the participant is placed in, an unpredictable method (such as flipping a coin) is used to decide.
The other variables than an experimenter wants to hold constant are called extraneous variables. The aim of controlling EVs is to minimize their possible impact on the results of the investigation. An example of extraneous variables may be the participant’s personality or personal experiences
Laboratory experiments are conducted in an artificial setting
Advantages of Laboratory Experiments
Disadvantages of Laboratory Experiments
Field Experiment
This is an experiment carried out in the real world or in a natural setting rather than in the artificial setting of a laboratory. The independent variable is still manipulated or controlled by the researcher to see the effect on the dependent variable. An example might be to observe people in the street.
Advantages of Field Experiment
Disadvantages of Field Experiments
Natural Experiments
For this type of experiment the researcher takes advantage of a naturally occurring independent variable to see its effect on the dependent variable
A natural experiment is a study that measures variables that aren’t directly manipulated (caused) by the experimenter, for example comparing behaviour in a single-sex and mixed school. This then means that the independent variable is naturally occurring. Effectively the experimenter is finding participants who already meet the conditions of the experiment, rather than allocating participants to conditions themselves.
Advantages of Natural Experiment
Disadvantages of Natural Experiments
Quasi Experiments
Quasi-experiments contain a naturally occurring independent variable. However, in a quasi-experiment the naturally occurring independent variable is a difference between people that already exists (i.e. gender, age). The researcher examines the effect of this variable on the dependent variable (DV).
An example might be that males have higher levels of testosterone than females in a sample of 50 men and 50 women aged 40-70. The psychologists might want to study this natural difference between the two genders and see what effect it might have on the dependent variable (aggression levels)
Quasi experiments usually take place in a laboratory setting.
Advantages of Quasi Experiments
Disadvantages of Quasi Experiments