An
experiment is an investigation in which
a hypothesis is scientifically tested. In an experiment, an independent variable (the cause) is
manipulated and the dependent variable
(the effect) is measured; any extraneous variables are controlled.
Experiment
is the prime method of inquiry in science. The key features are control over
variables, careful measurement, and establishing cause and effect
relationships.
Experiments
should be objective. The views and opinions of the researcher should not affect
the results of a study. This makes the data more valid, and less biased.
There are three types of experiments
1.
Laboratory / Controlled Experiments: This type of experiment
is conducted in a well-controlled environment – not necessarily a laboratory –
and therefore accurate measurements are possible. The researcher decides where
the experiment will take place, at what time, with which participants, in what
circumstances and using a standardized procedure. Participants are randomly
allocated to each independent variable group.
Strength:
It is easier to replicate (i.e. copy) a laboratory experiment because a
standardized procedure is used. They allow for precise control of extraneous
and independent variables and helps in establishing a cause and effect
relationship.
Limitation:
The artificiality of the setting may produce unnatural behavior that does not
reflect real life. So it may not be possible to generalize the findings to a
real life setting. Demand characteristics or experimenter effects may bias the
results.
2.
Field Experiments: Field experiments are done in the everyday (i.e. real
life) environment of the participants. The experimenter manipulates the
independent variable (cause), but in a real-life setting (so cannot really
control extraneous variables).
Strength:
Behavior in a field experiment is more likely to reflect real life because of
its natural setting, i.e. higher ecological validity than a lab experiment.
There is less likelihood of demand characteristics affecting the results, as
participants may not know they are being studied. This occurs when the study is
covert (Participant observation by a researcher joining
the group and unknown to the group).
Limitation:
There is less control over extraneous variables that might bias the results.
This makes it difficult for another researcher to replicate the study in
exactly the same way.
3.
Natural Experiments: Natural experiments are conducted in the everyday
(i.e. real life) environment of the participants, but here the experimenter has
no control over the independent variable (cause) as it occurs naturally in real
life.
Strength:
Behavior in a natural experiment is more likely to reflect real life because of
its natural setting, i.e. very high ecological validity. There is less
likelihood of demand characteristics affecting the results, as participants may
not know they are being studied. Can be used in situations in which it would be
ethically unacceptable to manipulate the independent variable, e.g. researching
stress.
Limitation:
They may be more expensive and time consuming than lab experiments. There is no
control over extraneous variables that might bias the results. This makes it
difficult for another researcher to replicate the study in exactly the same
way.
Terminology
Ecological validity:
The degree to which an investigation represents real-life experiences.
Experimenter effects:
These are the ways that the experimenter can accidentally influence the
participant through their appearance or behavior.
Demand characteristics:
The clues in an experiment that lead the participants to think they know what
the researcher is looking for (e.g. experimenter’s body language).
Independent variable
(IV): Variable the experimenter manipulates (cause) – assumed to have a direct
effect on the dependent variable.
Dependent variable
(DV): Variable the experimenter measures.
Extraneous variables
(EV): Variables, which are not the independent variable, but could affect the
results (DV) of the experiment. EVs should be controlled where possible.
(contd..)
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