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Abnormal
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LESSON
8
EXPERIMENTAL
REASEARCH DESIGNS
An experiment
involves manipulation of an independent variable
and the observation of its effects.
We
manipulate
an independent variable to answer the question of
causality. If we observe a correlation
between
social
supports and psychological
disorders, which are two
variables, we can change the extent of
social
supports
and see its effect on prevalence of
psychological disorders. So, we
are carrying out an
experiment
or
a test. What will this experiment
tell us about the relationship between
these two variables? If we
increase
social
supports and find no change
in the frequency of psychological
disorders, it can mean that
lack of
social
support does not cause
psychological problems. If we find
that psychological disorders
decrease or
diminish
with increase social
supports, we can be sure
that non-support does
contribute to them.
Experiment
Experiment
is a deliberate manipulation of a variable to see if
corresponding changes in behavior
result,
allowing
the determination of cause-and-effect
relationships.
Independent
variable (IV) is variable in an experiment that is
manipulated by the experimenter. Dependent
variable
(DV) is variable in an experiment that
represents the measurable response or
behavior of the
subjects
in the experiment.
An
experiment is a research procedure in which a
situation or a behavior or both are
manipulated and the
effect
of the manipulation is observed. Most of
us perform experiments throughout
our lives without
knowing
that we are actually behaving in a
scientific manner of conducting an experiment.
(Manipulation is
introducing
and withdrawing a variable that
would not have occurred
naturally).
Research
by Experiment
An
experiment involves manipulation of an independent
variable and the observation of its
effects. We
manipulate
an independent variable to answer the question of
causality.
If
we observe a correlation between
social supports and
psychological disorders, which
are two variables, we
can
change the extent of social supports
(independent variable) and see its effect on
prevalence of
psychological
disorders (dependent
variable).
So,
we are carrying out an experiment or a
test. What will this experiment
tell us about the relationship
between
these two variables? If we
increase social supports
there is decrease in prevalence of
psychological
disorders
(negative correlation) or decrease in
social supports increase in
prevalence of psychological
disorders(
negative correlation). Take another
example exposure to violent television
develops aggression in
children
.
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Following
are the Experimental Designs to be
studied
1-
Group Experimental
Designs
2-
Single Experimental
Designs
Group
Experimental Designs
In
group experimental designs, an independent variable is
changed to see how the behavior of the
people in
the
group is affected.
Example:
Suppose
we design a treatment to help reduce
insomnia in older adults,
(Mellinger, Balter, 1985).
The
experimenters treated twenty
individuals and followed them
for ten years to see whether their
sleep
patterns
improved. So the treatment is independent variable and
the sleep pattern is dependent
variable.
The
researchers found that the
adults, who were treated
for sleep problems still
sleep less than eight
hours
per
night. Is the treatment a failure? May be
not. The question that cannot be
answered is what would
have
happened
to group members if they had
not been treated. May be
their sleep patterns would
have been
worst.
We do not know. We cannot go back in
time.
The
goal of every experiment is to isolate
and identify the true or primary cause
from host of other
possible
causes.
The major obstacle to isolating the true
cause is the confounding variables. We
can control the
confounding
variable effect by using following
methods.
Control
Groups
One
answer to this problem is that we
can use control groups. In
the same experiment on study of sleep
a
control
group consists of people who
are similar to experimental group in
every way except that they
are
not
exposed to the independent variable. This
group of people can be assessed ten
years later and their
sleep
patterns can be observed
over time. The researchers
may observe that control
group people sleep
few
hours
less as they get older as
compared to experimental group. The
control allows the researchers to
see
that
the treatment did help the experimental
group subjects.
Control
group subjects match with
experimental group in age, gender,
socio-economic background and
problems
they are reporting. The only
difference between both the groups is of
treatment variable
(independent
variable).
·
Experimental
group are subjects in an experiment
who are subjected to the independent
variable.
·
Control
group are subjects in an experiment
who are not subjected to the
independent variable and
who
may receive a placebo
treatment.
Placebo
Control Groups
People
in the experimental group often expect to
get better. So when behavior
changes, as a result of
people's
expectations rather than due to
independent variable we label the phenomenon as placebo
affect.
The
word placebo means "I Shall
Please" in other words
placebo means inactive medications
such as sugar
coated
empty pills. The placebo is given to the
members of control group to
make them believe that
they
are
getting treatment. (Parloff,
1986).
A
placebo control in a medication study
can be carried out because
people in the control group
receive
something
that "looks like" medicine
that the experimental group is getting. If the
therapists want their
clients
to expect improvement, this placebo affect
helps strengthen the
treatment.
·
Placebo
effect is the phenomenon in which the expectations of
the participants in a study can
influence
their behavior.
·
Experimenter
effect is the tendency of the experimenter's
expectations for a study
to
unintentionally
influence the results of the study.
Single
Blind Control Group Technique
Single
blind control group
technique is a kind of placebo
control group procedure
where the participants in
the
study (are) blind or
un-aware of what group they are in or
what treatment they are given. This type of
control
eliminates participant's bias which
may affect the results.
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Double
Blind Control Group Technique
In
this technique, which is a type of
placebo control group where
the participants in the study (are) blind
or
unaware
of what group they are in or what treatment they
are given and so are the
researchers or therapists
who
are providing the treatment or manipulating the
independent variable. This type of control
eliminates
the
participant's bias and the researcher's
bias as well. So when both the
researchers and participants
blinds,
there
is less chance that bias
will affect the results.
Triple
Blind Control Technique
In
a triple blind control technique study,
suppose we want to study the effects of a
target drug with
placebo
were
being compared the patients, the
administrators and the judges on the
administrators, were unaware
of
the
fact which patients belonged to the
control group and which
patients belonged to the experimental
group
.
Comparative
Treatment Research
In
this type of design, the researcher gives
different treatments to two or
more comparable groups
of
people
with the same disorder and
then measure how the independent variable
helped the people, who
received
it. This is called
comparative treatment research.
In
the example of the study on sleep
with older adults, two
groups of older people can be
selected. One
group
given medication for insomnia and the
other group given cognitive behavioral
therapy and the results
are
compared. In every treatment, the
process
and
outcome
are
two important issues to be
studied.
Process
focuses on the mechanism and
outcome on the result.
There
is an old joke that someone
went to a physician for common cold problem.
The physician
prescribed
the
new drug and said it's a
miracle drug and the cold will be
gone in seven to eight days. As we
all know,
that
cold typically improves in seven to ten
days. So seven to ten days is the
process of testing the
miracle
drug
and cure of the cold is the
result.
Outcomes
can be positive or negative. In a
research by Francis and
Hart, (1992) who worked
with
depressed
in patient in hospital setting and they
used the strategy that the
activity level of the depressed
should
be increased. Francis and
Hart noted improvement and
decrease in their depression
levels of
patients
whose activity level was
increased but this improvement
disappeared outside the hospital
environment.
If you look at their
outcomes in the hospital, you see improvement, if
you follow them home
after
being discharged from the hospital; the treatment
was not affective at all.
Randomization
When
researcher assigned participants to a
condition in an experiment purely by chance
i.e. by flipping a
coin
or using a table random numbers, they
employ randomization to assign subjects to
experimental and
control
groups or to matched
groups.
One
can use the technique of randomization to
assign subjects to experimental or
control groups, to be
sure
that
all the characteristics of the population
are fully represented in the
two groups.
In
all experiments of psychology random
sampling procedures are used
to form the experimental and
control
groups.
Matching
Matching
is an attempt to ensure that the participants in
all conditions are
comparable. First by defining
the
important
ways that people could differ
from one another and then
placing an equal number of persons
of
each
type in each group.
Example
If
we are studying depression among
both the genders then we
would assign people of both
genders and
almost
same characteristics of both the
genders in the two
groups.
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Counter
Balancing
When
ever different aspects of an experiment
are sequentially presented to
participants, it is important to
consider
the order of presentation because the
sequence of events could influence the dependent
variable
and
it needs to be controlled. One way to
control unwanted sequence of events is by
counter balancing.
Example
When
we use medication and supportive therapy
with depression patients
then be sure that sequence
of
experiment
first demands medication and
then supportive therapy.
Quasi-
Experimental Design
In
this design the researchers do not
assign subjects to control or
experimental groups rather they make
use
of
groups which already exists
in world.
Suppose
we want to study the relationship between
child abuse and depression
among children so we
select
children
with history of
abuse.
Natural
experiments
In
this type of experiment it is nature rather then
experimenter who manipulates the independent
variable
and
the experimenter studies its effects.
This design is used in studying the
psychological effects of
unpredictable
events such as earthquakes,
plane crashes and
fires.
On
8th October 2005 earthquake
hit Pakistan and it caused
huge loss to life and
property.
It
leads to the development of Post Traumatic
Stress Disorder (PTSD) in surviving
women, men and
children.
A
Fokker flight in July 2006
from Lahore to Multan crashed
killing all on board created
fear in all people
traveling
in Fokker flights.
Analogue
experiments
Researchers
demand subjects in laboratory to
behave in ways they believe, to be
analogous to real
life
abnormal
behavior.
Example
M.
Seligman has worked on a pattern of
behavior he calls it learned
helplessness that he believes
it
to
be analogue to human depression. He
exposed humans to unpleasant
and unavoidable stimuli (such
as
noise,
failures on cognitive tasks).
The subjects displayed
sadness, passivity, pessimistic,
behavior pattern
similar
to learned helplessness.
The
limitation of this design is that
laboratory phenomenon is superficially similar to
depression.
Single
Case Experimental
Designs
Skinner
gave us the concept of single
case experimental design. This method
involves the systematic
study
of
one individual under a variety of experimental
conditions. The experimenter manipulates
the
independent
variable in ways that reduce the
likely hood of confounding the
explanations. Skinner thought,
it
was better to know a lot about the
behavior of one individual
then to make only a few
observations of a
large
group and then average the
response.
Psychopathology
is involved with the suffering of
specific people and its
methodology has greatly helped
in
understanding
factors involved in individual
psychopathology.
Following
are the single case experimental
designs.
1.
Repeated
Measurements.
One
of the most important strategies,
used in single case experimental
design is Repeated
Measurement
in which a behavior is measured
several times instead of
only once before you
change
the independent variable. The researcher
takes the same measurement
over and over to
learn
how variable the behavior is (how
much it changes day to day)
and whether it shows
any
obvious
trend (is it getting better or
worst?)
Example:
A
young woman labeled `A'
comes into her office
complaining about anxiety. Anxiety is a
feeling
of being restless, uncomfortable and
uneasy. When she is asked to
rate her feelings of
anxiety
on a rating scale of 0 to 10.
she gives her anxiety a
score of 9 whereas 10 is the
worst.
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After
several weeks of treatment, client A
rates her anxiety at 6. Can we
say that the treatment
has
reduced her anxiety? Not
necessary. Using the repeated measurement
techniques, we can
measure
client A's anxiety each day
during the week before her
visit to the office and
observe
that
the ratings differ greatly. On a good
day she rated her anxiety 5
and on a bad she rated
her
anxiety
at 8. Repeated measurement techniques
helps to identify how a
person is doing
before
and
after treatment. We can conclude that
client A had good and
bad days both before
and
after
treatment and doesn't seem to have
change much. There are
important parts of
repeated
measurements:
i.
The degree of behavior
change with different
interventions.
ii.
The degree of behavior change
over time.
iii.
The trend and direction of
behavior change.
2.
Withdrawal
Designs. The
withdrawal design or the reversal design
assesses the effects of an
intervention
on problem behavior, the problem
behavior changes systematically
with the
provision
and removal of treatment. So `A' refers
to the baseline conditions and
`B' to the
treatment.
In this design, the baseline and the
treatment conditions are alternated. A
simple
withdrawal
design has three
parts.
i.
A person's condition is evaluated before
the treatment to establish a baseline
`A'.
ii.
Then comes the independent variable
`B'
iii.
And last the treatment is withdrawn
(return to the baseline).
Example:
In
case of client A having anxiety problem,
first we measure the client A's anxiety
level before
the
treatment to establish a baseline, then
in the second step, we give the
independent variable
(treatment)
and in the third step, treatment is
withdrawn and client A
returns to step one
i.e.
baseline
level. Some psychologists support the
use of withdrawal designs
because it means drug
holiday
i.e. a period of time when medication is
withdrawn for two
reasons:
i.
All medications have
negative side effects and
therefore, unnecessary medication
should
be avoided.
ii.
Whether change in behavior is due to the
treatment effect or not.
3.
Multiple
Baseline
Another
single case experimental design,
strategy is multiple base
line designs. Unlike
the
reversal
design, the multiple baseline
design doesn't require removing treatment. In a
multiple
base
line design, two or more
baselines of different durations are
recorded simultaneously
and
the
intervention is applied for one
baseline at a time.
The
multiple baselines can be
different behaviors by a single
person (anxiety and
depression),
the
same behavior by different
persons or (depression among
two persons) or one
behavior
(depression)
in different situations. The logic this
design is that if the treatment is
responsible
for
changes, then these changes
will be evident on the baselines
that are treated and
not evident
on
the untreated baselines.
Example:
A
researcher wants to know whether a
treatment is effective for child
behaviors such as crying
and
fighting with siblings so crying is
one baseline where as
fighting is another baseline.
Treatment
could first focus on crying
and then on fighting with
siblings. This is
multiple
baseline
across behaviors.
The
researcher can start treatment at
different times across
different settings.
The
young woman, who was
experiencing anxiety at office, could get
treatment at office and
when
this treatment is effective at office, same
intervention could be used at home. This
is
multiple
baseline across
settings.
Shortcomings
of single subject
designs
Single
subject designs has
disadvantage such as:
i.
Their
results cannot be generalized.
Research
by experiment takes into
account:
i.
The
concept of experiment.
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ii.
Independent
variable, dependent variable and the
confounding variable.
iii.
It
studies group experimental designs
(Placebo control groups,
single blind control
group,
double
blind control group, comparative
treatment group)
iv.
Single
case experimental design (Reversal
Design, multiple baseline
design).
v.
In
both these designs, a variable or
variables is manipulated and the effects
are observed in
order
to determine the nature of a casual
relationship.
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