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LESSON
7
RESEARCH
DESIGNS
Variable
is a noun not an adjective it
represents a class of outcomes
and it can take more
than one value.
Hair
color is a variable red, black,
white, grey etc.
Types
of Variables
Dependent
variable (outcome,
result, effect, and criterion) is a
variable that indicates that whether
the
manipulation
of the independent variable had an effect.
Independent
variable (treatment,
factor, and predictor) is a variable
that is manipulated to examine
its
impact
on a dependent variable.
Confounding
variable (extraneous,
threatening) is a variable that is related to
independent or dependent
but
not an intended part of study.
Example:
vitamin A influences vision of
subjects.
Vitamin
A
independent
variable
Vision
dependent
variable
Food
confounding
variable
Rich
in Vitamin A
Hypothesis
Hypothesis
is an educated guess, a research
idea:
Hypothesis
tells us how two or more
variables are related to
each other. Research process
begins by
generating
hypothesis.
Hypothesis
Generation
d.
By observation Keen observation
e.
By studying previous researches.
f.
By refuting an old existing theory
related to a phenomenon or develops your
own theory.
Characteristics
of hypotheses
e.
Make it testable.
f.
Make it supportable.
g.
Be sure to have a rational-
how theory can help.
h.
Demonstrate its relevance
how it can solve a
practical problem.
When
you decide how you want to
test your hypothesis you
have a research design /
plan
d.
What will be your sample?
How the sample will be
selected? What will be the
sample size?
e.
Instruments / tools / questionnaires to be
used
f.
Statistical tests to apply
Research
design includes aspects that
you want to measure in the people ( you
are studying that is
dependent
variable) and its influence on people's
behavior (i.e. independent
variable).
Example
Vitamin
A influences
(or effects) the eye sight
of subject.
Vitamin
A is independent
variable.
Eye
Sight is
dependent variable.
Research
Design
Two
groups with equal number of
subjects which are equally
matched on all characteristics
are randomly
selected.
One
is experimental group
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The
other is control
group
The
only difference between experimented and
the control group is that of treatment.
The experimental
group
is exposed or given vitamin A, while the
control group does not
get any Vitamin A. so if the
eye sight
or
vision of the experimental group improves or is better
than control group then it
is attributed to what? It
is
because of Vitamin A.
Internal
validity is the extent to which a
researcher can be confident
that the independent variable is
influencing
or is causing the dependent
variable.
Confounding
variables or extraneous
It
is any factor occurring in a study
that makes the results
uninterruptible that pollute or
contaminate the
results.
If the experimental group was eating
diet rich in Vitamin A, or a
lot of carrots, that
improved their
vision
---. So all these are
confounding variables for
our research because then
independent variable will not
be
responsible for bringing
changes in dependent variable i.e. The
Vitamin A dosage administered to
the
experimental
group subjects in laboratory
will not be the only aspect
which will change or influence
the
vision
or eye sight of the
subjects.
Dependent
variable / Independent
variable
Variables
are factors that are
connected together in form of hypothesis.
The first variable is
dependent
variable.
Dependent variables are factors or
aspects of the study that
are influenced by independent variable
and
they are expected to change.
Independent variable is that aspect
that is being manipulated or
controlled
and
thought to change the dependent
variable. In the above mentioned study,
Vitamin A is the independent
variable
which is varied or given to experimental group
but not to the control group.
While dependent
variable
is eye sight of the subject. So it is
Vitamin A which is the independent variable
responsible for
bringing
change in the dependent variable i.e.
eye sight of the
subject.
Internal
Validity / External
Validity
Internal
validity is the extent to which results
can be attributed to independent
variable. A study that is
not
open
to alternative explanations of the results is set to
be internally valid and it is
free of confounding
factors
or variables. A confounding factor is
that, which might have
affected the dependent or independent
variable.
When a confounding variable is present,
the researcher or the investigator cannot know,
whether it
is
the independent variable or any other
confounding variable responsible for the
results.
External
Validity of a study
In
internal validity of the study, we focus
only on the results of the study
that can be attributed to
the
independent
variable. While in external validity we want the
results to apply to people / samples
other than
the
subjects of the study or we want to
generalize the results to the other
settings. That is, if one
group of
subjects
suffers from depression due
to death of a loved one, we want the
same results to be applied to
other
samples of the population as well. So
internal validity and external
validity are working in
opposition
to
one another.
Statistical
Significance / Clinical
Significance
Statistics
is part of psychology, in psychological
results; statistical significance
means that the probability
of
obtaining
the observed effects by chance is
small. But it is important to
understand the difference between
statistical
and clinical significance.
Example:
Consider a group of adults,
who are mentally retarded
and they are involved in
self injurious
behavior
of hitting or slapping themselves.
Suppose we are to try a new
drug treatment for the self
injurious
behavior
of adults with mental retardation. We
examined one group that
receive medication and a
second
group
that received a placebo (an
empty sugar coated pill). To
learn whether the new drug diminished
or
decreased
self injury, we use a rating
scale to assess how
frequently subjects hit
themselves. At the beginning
of
the study, all the subjects hit
themselves an average of ten times
per day. At the end of the study,
we
found
through the scores on the rating
scale that the group on the medication
received lower scores or
hit
themselves
less number of times then the untreated
group. So we can conclude that the
results are
statistically
significant. Statistical significance
depends on size of the effect, when you
look at the people
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who
were rated as improved. You
find that they still hit
themselves about six times
per day. Although the
frequency
is lower. But some of the
subjects hit themselves in
such a manner that they
produce serious cuts
and
bruises. This may suggest
that your statistically significant
results may not be clinically significant
i.e.
important
to the people who hurt themselves.
The effect size that is the
actual statistical impact on
treated
and
un-treated persons in a research can be
known by looking at the results of the
group as a whole. The
behavioral
scientist Wolf (1978)
advocated the assessment technique
labeled as social validity this
technique
involves
obtaining information from the
person being treated as well as by
significant others about the
importance
of changes that have
occurred. In the example, we might
ask the employer, the family
members,
friends
and others. If they think
that the medication has truly
reduced the self injurious
behavior in the
mentally
retarded adults. If the effect of the treatment is
large enough to impress those
who are directly
involved,
the treatment effect is clinically significant. So statistical
technique measures the effect size and
the
subjective
clinical significance measures the social
impact on individual or people around
him.
The
Average Client
Very
often we look at results
from studies and make
generalizations about the group and we
ignore
individual
differences. The tendency to
see all participants as one
homogeneous group is labeled as
the
patient
uniformity myth. Comparing groups
according to their mean
scores (Group A improved by
50%
over
group B). This hides
important differences in individual
reactions to our interventions
and treatments.
The
patient uniformity myth
leads researchers to make
inaccurate generalization about
disorders and their
treatment.
It
would not be surprising if a
researcher studying the example of the treatment of
self injurious
behavior
concluded
that a drug was a good treatment.
Although some participants did
improve with treatment
while
others
actually got worse. These
fine differences would be
averaged out in the analysis of the
group as a
whole,
the person whose head
hitting increased with the
new drug, it would make a
little difference that this
client
and its effect on him will
be averaged out. While
majority of the people of the same age,
gender,
cognitive
ability and history of treatment
improved, so practitioners who deal
with all types of
disorders
would
consider, that all
treatments on a homogeneous group
will be the same. The whole
sample is treated
as
an averaged client.
Studying
individual case
The
science of abnormal psychology began
with careful descriptions of
symptoms and arrangement of
these
symptoms
in to categories.
Descriptive
Studies or descriptive approaches
are procedures used to
summarize an organized sample
of
data.
They include
1-
Observation
2-
Case study which focuses on
single individual and
3-
Survey, which seek to
describe a population.
1-
Observation includes -----------naturalistic
observation
controlled
observation
Naturalistic
observation is watching animals and
humans behave in their natural
environment. It gives a
realistic
picture of the behavior.
In
Participant Observation the observer becomes a
participant in the group being observed
(to reduce
observer
effect).
Observer
effect is tendency of animals and
humans to behave differently
from normal behavior pattern
when
they know that they are being
observed.
Controlled
or laboratory observation is watching animals or
humans behavior in laboratory.
The advantage
of
this observation is that the experimenter has
complete control over the situation
and specialized
equipment
can be used.
2-Case
Study
Case
study examines and describes
in depth an individual's current feeling, thoughts
and behaviors.
It
investigates intensively one or more
individuals, who display the behavior
patterns. The case
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study
method relies on a clinician's
observations of differences between
one person and group
with
a
disorder, people with other disorders
and people with no psychological
disorders. The clinician
usually
collects as much information as
possible, to obtain a detailed description of the
person.
Historically,
interviewing the person under study
yielded a great deal of information on
personal,
medical,
family background, education, health and
work history, as well as the
person's own
opinion
about the nature and causes
of the problems being studied. Case
studies are important
in
the
history of abnormal psychology.
It
was S. Freud and E. Kraepelin
who used clinical case study.
Freud's case studies
provided
valuable
descriptions of his theory of the
development of mental disorders.
Kraepelin's
observations of the case studies helped
him to construct the first
system for the
classification
of abnormal behavior.
Wolpe's
book psychotherapy by reciprocal
inhibition, is based on his treatment
procedure called
systematic
desensitization, which he applied on some
200 cases, as our knowledge
has increased, we
rely
less on case study
method.
The
case study method is valuable in
examining rare disorders. Say when a
disorder occurs at a very
low
frequency, such as 1 case in 10,000,
data on such large number of
cases is next to
impossible.
So
we depend on single
case.
Mental
disorder called Multiple Personality, a
rare type of disorder where within
one person would
reside
two or more then two
opposing personalities, a disorder which
receives much attention
on
the
media in films and TV is a
target case for single
case analysis. All of you
have read the famous
fictional
characters of Dr. Jekyll and
Mr. Hyde (first one a
noble character and Mr.
Hyde an evil
character).
Dr. Jekyll a noble and
handsome doctor who had
his private laboratory where
he use to
go
at night and prepare a
secret drink, after taking
that drink he would become
very ugly and
notorious.
Then he would go out and
kill and rob innocent
people. In the morning he would be
noble
and kind again.
The
famous case of Eve White, a young
woman showed Multiple
Personality disorder, under stress
Eve
White would suffer from a
black out period where
she would dress like
her twin sister
Eve
Black,
talk like her, would be
assertive like her and
would not listen to her
mother. Hypnosis and
long
term psychotherapy gave Eve
White the personality of Jane who
was sober and assertive.
Rare
cases
like this one in real life
are few.
Drawbacks
of case study
methods:
i.
Case
study lacks internal
validity (methodological control)
ii.
Case
study lacks external validity (
representative ness)
Advantages
of case study:
The
case study method is a valuable
source for:
i.
Examining
rare disorders
ii.
Evaluating
and assessing innovative treatment or
interventions.
3-Surveys
Surveys
provide information about the
nature and scope of mental
health problems across
large
population
and regions often leading
clues to the causes of disorder. Surveys
are an important tool
in
epidemiological
research which is the study of the
incidence and prevalence of
disorders in a specific or
specified
population.
Incidence
refers to the number of new cases of
disorder during the specified period of
time or incidence
refers
the estimated number of new cases
during a specific period of
time.
Example
Suppose
we would like to know the
incidence of new cases of
college freshmen using drug
like Cocaine is
increasing.
So prevalence means the overall
frequency of the disorder in a specific
population.
So
the epidemiological data help us to
identify the causes of disorder, as in the
case of cholera which
broke
out
in London during the last century. No
one knew that how the
disease was spreading. But
as the data on
incidence
and locations of cases were
gathered and examined,
researcher noticed a pattern and made
a
hypothesis,
correctly, that the source was
contaminated water.
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In
the year 1980, NIMH survey of
nearly twenty thousand
institutionalized and community
residents
revealed that 1 in every 3 US
adults had experienced a
psychological disorder and that 1 in
every 5
was
currently experiencing a disorder. The
incident of serious psychological
disorder is doubly high
among
those
below the poverty line
(Center for Diseases
Control) like so many other
correlations, the poverty
causes
a disorder, raises a chicken and
egg question. Does poverty
cause disorder? Or disorder
cause
poverty?
It's both. In schizophrenia a
psychotic disorder in which persons
looses contact with
reality,
understandably
leads to poverty. Poverty can
also precipitate disorders, especially
depression in women
and
substance
abuse in men.
In
case of AIDS virus, epidemiological
researchers track the incidence of this
disease among several
population
(among gay men, among drug
users, among spouses and
children of infected individuals),
researchers
have found how the aids
virus is passed from person to
person like other types of
other co-
relational
research, epidemiological research cannot
tell us what cause a particular phenomenon
but the
knowledge
the prevalence and course of disorder
tells us and provide understanding in the
right direction.
A
major concern for survey is external
validity if a survey is based on the
responses of women
from
the
posh section of the society,
then the results cannot be generalized to
the entire population of the city,
because
the participants are not representative
of the whole population. To ensure
representative ness of
the
sample, we use random sampling,
regardless of the size of the sample,
every member of the
population
has
an equal chance of being included or another
method would be to seek participants,
who match on the
predetermined
picture of the demographic characteristics of the
population.
Limitation
of Survey method
One
obstacle is that not all
subjects who agree to participate
provide accurate information.
Participants may
intentionally
distort their answers for a
multitude of reason. For
example, persons ask about
the mental
health
of their family members may
paint a very bright picture than
actually does not exist. A
second
obstacle
is that the wording of survey
questions can influence the answer
and detract from the
internal
validity
of the survey.
Research
by Co-relation
When
two variables relate to each
other, a statistical relationship between
the two variables is called a
co-
relation.
Example
1
People
with depression are more
likely to have negative
attributions?
One
variable is depression and the other
one is negative attribution. In
order to explore the relationship
between
the two, a test or experiment is to be
designed to explore it.
Example
2
Exposure
of violent films on television is
responsible for children's higher level of
aggression.
One
variable is exposure to television and the
other is high level of aggression.
Two things are occurring
together.
Do not imply that one
cause the other i.e. variable
X
Causes
variable Y cannot be incurred from Co-relation.
In
another example allergies and
depression may be related.
Research reveals a surprisingly high
co-relation
between
allergic reactions and
depressive symptoms. But what
causes what. Does depression
make you
have
allergies?
Does
X causes Y or is it that presence of
allergies cause people to become
more depressed that is Y
causes
X?
Or
is it that a third variable Z, some
common underline biological factor
which make people
become
allergic
and depressed. Is it that Z
causes X and Y?
Kinds
of Co-relation
There
are two types of co-relation, Positive
co-relation and negative co-relation.
Increase in one variable is
associated
with increase in same
strength and quantity in the
other variable, it is called
positive correlation.
Decrease
in one variable is related with
decrease in same strength and
quantity of the other is also
labeled as
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positive
co-relation. Perfect positive co-relation is
+1.00. Negative Correlation is when
increase in one
variable
leads to decrease in another variable. It
is negative correlation. Perfect negative
correlation is -1.00.
The
correlation coefficient is represented by
small r. so correlation allows us to
see whether a relationship
exists
between two variables but it
does not conclude either variable
cause the other. So it means X
is
related
with Y but we do not know
whether X causes Y?
Or
Y causes X? Or a third variable Z causes
variable X and Y?
Epidemiological
Research
Epidemiology
is the study of the incidence,
distributions and consequences of a
particular problem or set of
problems
in one or more population.
One strategy is to determine the
incidence of disorder, the
estimated
number
of new cases, during a
specific period of time.
A
related strategy is involved determining
prevalence, the number of people with a disorder at
any one time.
Epidemiologists
study the incidence and
prevalence of disorders among
different groups of people.
The
epidemiology
research aims to determine the
medical problems and
psychological problems. In 1900,
a
number
of Americans displayed symptoms of
strange mental disorder. Its
symptoms were similar to
organic
psychosis,
which is caused by taking
drugs or great quantities of alcohol.
Most of the victims were poor
and
they
were African Americans. Using the method
of epidemiological research Gold Berger
found
correlations
between the diet and the disorder,
and he identified the cause of disorder
as a deficiency of the
Vitamin
B, their diet was improved
and the symptoms were eliminated. A
long term wide spread benefit
of
Gold
Berger findings was
introduction of Vitamin enriched
bread in the 1940.
In
1980, Mount St. Helens
volcano erupted, creating extensive
property damage and loss of
life. When
subjects
of a comparable (control) community that
was similar in demographics
but had not experienced
a
similar
traumatic event, the researchers
found a significant high number of
psychological disorders in
the
people
who live near Mount
St. Helens. This is a co-relational study. There is a
relationship between stress
and
psychological problems.
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