This section describes the research
method known as the experiment. There are several sections on this page:
Purpose
Variables:
independent and dependent
Conditions:
treatment and control
Advantage &
disadvantages
The experiment is the
method to use to demonstrate a cause and effect relationship between two
variables. When researchers want to know about the cause of a behavior or
mental process, they should do an experiment. In an experiment, the
researcher manipulates or changes the environment in a controlled way,
then measures the effect of that manipulation.
For example, it is
through experiments that we know that drinking alcohol causes slower
reaction times. The experimenter can give a set amount of alcohol to a
group of participants, then measure their reaction times. If their time
slows down after drinking the alcohol, we know the alcohol caused that
effect.
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Variables
Independent
variable
In every experiment,
the researcher makes some kind of manipulation to the participants, then
measures their behavior afterward. The independent variable (I.V.) is the
part of the experiment that is manipulated. This is the aspect of the
experiment that the researcher does to the participants. We hold
everything else among the participants constant, then make one change to
them. That change is the independent variable.
Dependent variable
After the researcher
manipulates the participants in some way (the independent variable), the
next step is to measure the participants’ behavior. This behavior is the
dependent variable (D.V.). It is the part of the experiment that we
measure, to see if there has been an effect of the independent variable.
Let’s do some
examples. For each hypothesis listed below, I will label the independent
variable and the dependent variable, then briefly describe the method.
1. Hypothesis:
Drinking alcohol slows reaction times.
I.V.: Alcohol
D.V.: Reaction times
The experimenter
would randomly divide a group of participants into two groups. He or she
would give one group a drink with alcohol and the other group a drink with
no alcohol. After everybody drinks the beverage, the experimenter measures
their reaction time to a task. For example, the time to press a button in
response to a sound. If the participants who drank alcohol had a slower
average time than those who did not drink alcohol, we can say that the
alcohol caused the slower reaction times.
2. Hypothesis: Taking
a test in a hot room causes lower grades
I.V.: Room
temperature
D.V.: Test scores
The experimenter
would randomly divide a group of participants into two groups, and place
them in two separate classrooms. He or she would increase the temperature
in one room (for example to 90 degrees) and would keep the other room at
normal temperature (for example, 72 degrees). The experimenter would give
the same test to every person in both rooms, then grade the tests when the
participants finish. If the people in the hot room had a lower average
score than the people in the normal room, we can say that the hot room
caused the lower scores.
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Every experiment has
to compare groups of participants. The researcher creates groups by
manipulating the I.V. Every participant then does the D.V. task, and the
researcher compares the outcomes across the groups.
Another name for
these groups of participants is conditions. There are always at least two
conditions in an experiment.
One condition is
called the treatment condition (or the
experimental condition). This group of participants is having something
done to them. They are being manipulated by the experimenter. In other
words, they are getting the treatment.
The second condition
is called the control condition. This
group of participants is the comparison group, so they are not having any
manipulation done to them. They are the “normal” group, so the
experimenter can compare the treatment group to them.
An important concept
to understand about these conditions is the method used to divide
participants into the groups. The experimenter must use random
assignment. He or she must randomly put the participants into the
groups. This ensures that the groups start out the same. That way, the
only difference between the groups will be that one receives the treatment
and the other does not.
The experimenter can
randomly assign participants into groups by flipping a coin, drawing
marked slips of paper out of a hat, or using a random number table. The
researcher must use a mechanical, unbiased process—not his or her own
decision about which participants should be in which group. We want the
groups to start out the same (same number of participants, same
proportions of psychological variables such as intelligence or motivation,
etc.).
In the best case experiment, neither the participants
nor the experimenter will know which participants are getting the
treatment. This is known as a double-blind design.
Let’s walk through some examples. For the following
hypotheses, I will list the I.V., D.V., treatment condition, and control
condition; then briefly describe the method.
1. Hypothesis: Drinking alcohol slows reaction times.
I.V.: Alcohol
D.V.: Reaction times
Treatment condition: Alcohol in a beverage
Control condition: No alcohol in a beverage
The experimenter would randomly divide a group of
participants into two groups by a coin flip. Participants with “heads” get
1 ounce of alcohol mixed with orange juice (the treatment). Participants
with “tails” get plain orange juice (the control). However, the
participants will not be told which beverage they are getting. After
everybody drinks the beverage, the experimenter measures their reaction
time to a task. For example, the time to press a button in response to a
sound. If the participants who drank alcohol had a slower average
time than those who did not drink alcohol, we can say that the alcohol
caused the slower reaction times.
2. Hypothesis: Taking
a test in a hot room causes lower grades
I.V.: Room
temperature
D.V.: Test scores
Treatment condition:
Hot room
Control condition:
Normal temperature room
The experimenter
would randomly divide a group of participants into two groups by rolling a
die. People who roll an even number (2, 4, or 6) are placed in one
classroom, and people who roll an odd number (1, 3, or 5) are placed in
another classroom. He or she would increase the temperature in one room
(the treatment) and would keep the other room at normal temperature (the
control). The experimenter would give the same test to every person in
both rooms, then grade the tests when the participants finish. If the
people in the hot room had a lower average score than the people in the
normal room, we can say that the hot room caused the lower scores.
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Advantage
1. The primary advantage
of the experiment is that we can determine the cause of something. None of
the other research methods allows us to know something about the cause of
a behavior. If an experiment is done properly, using random assignment and
participants blind to their condition, then we know that any difference in
their behavior (D.V.) was because of the difference manipulated by the
experimenter (I.V.).
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Disadvantages
1. No method is perfect
for all research questions. There are some situations for which the
experiment cannot work. When we are interested in the effects of variables
that cannot be manipulated, then we can’t do a true experiment. For
example, if we wanted to know the effects of gender differences, or racial
differences, we can’t study them with an experiment. That is because we
can’t randomly assign a person to a gender or a race. A participant
already has a gender and a race.
2. Another feature of
experiments that can be frustrating is that we can only study little bits
of a research question at a time. Because we have to hold everything in
the environment constant, except the IV, we have to break the larger
research question into smaller pieces. We can’t do one experiment to find
out whether watching violent TV shows causes aggression. We would have to
break it into violent cartoons, violent dramas, violent news
broadcasts—and even further, we would break it down into one person being
violent and a group being violent. There are many types of violence on TV,
so we would have to do experiments on them piece by piece.
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Read an experiment sample.