research meths
TRANSCRIPT
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AIMS && HYPOTHESES
The aim of a study is what you want to find out. When
writing a project it is important that this is very specific
A hypothesis states what your prediction is. There are
two types of hypotheses. A null hypothesis where you
state there will be no change. It is what you assume to
be true until you can prove otherwise. The alternativehypothesis is the prediction you (usually) are trying to
prove
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This type of hypothesis is one which
predicts the direction of the difference or in
terms of correlational analysis predicts
either a positive or negative correlation
A directional hypothesis is also called a one
tailed hypothesis
A non directional hypothesis on the other
hand predicts a difference between twovariables but not the direction or in terms of
correlational analysis it does not predict
either a positive or negative correlation.
A non directional hypothesis is also called a
two tailed hypothesis
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One-tailed hypothesis: a directional
hypothesis
Two-tailed hypothesis: One in which no
direction is predicted
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LAB EXPERIMENTS
This type of experiment is conducted ina well-controlled environment not
necessarily a laboratory and therefore
accurate measurements are possible
The researcher decides where theexperiment will take place, at what
time, with which participants, in what
circumstances and using a standardised
procedure
Advantages
It is easier to replicate (i.e. copy) a laboratory
experiment
They allow for precise control of extraneous
and independent variables
They allow cause and effect relationships to
be established
Disadvantages
The artificiality of the setting may produce
unnatural behaviour that does not reflect real
life, and results cannot be generalised to the
population
Demand characteristics may bias the results
and become confounding variables
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FIELD EXPERIMENTS
These are conducted in the everyday
(i.e. natural) environment of the
participants but the situations are still
artificially set up
The experimenter still manipulates
the IV, but in a real-life setting (so
cannot really control extraneous
variables)
Advantages
Behaviour in a field experiment is more likely
to reflect life real because of it natural setting,
i.e. higher ecological validity than a lab
experiment
There is less likelihood of demand
characteristics affecting the results, asparticipants may not know they are being
Disadvantages
There is less control over extraneous variables
that might bias the results. This in turn makes
the experiment harder to replicate
They may be more expensive and time
consuming than lab experiments
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NATURAL EXPERIMENTS
Natural experiments are conducted in the
everyday (i.e. natural) environment of the
participants but here the experimenter has no
control over the IV as it occurs naturally in real
life, e.g. Hodges and Tizard's research (1989)which compared the long term development of
children who have been adopted, fostered or
returned to their mothers with a control group
of children who had spent all their lives in their
biological families
Advantages
Behaviour in a natural experiment is more likely
to reflect life real because of it 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 beethically unacceptable to manipulate the
independent variable
Disadvantages
There is less control over extraneous variables
that might bias the results. This in turn makes
the experiment harder to replicate
They may be more expensive and time
consuming than lab experiments
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Experiment: An investigation in which the independent
variable is manipulated (or changed) in order to cause a
change in the dependent variable. There are three types:
1. Lab study: This type of experiment is conducted in awell-controlled environment
2. Field study: Field experiments are done in the everyday
(i.e. natural) environment of the participants but the
situations are still artificially set && IV still manipulated
3. Natural study: Natural experiments are conducted in the
everyday (i.e. natural) environment of the participants but
here the experimenter has no control over the IV
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Disadvantages
It lacks generalisability to the rest of the population due t
a very small and unrepresentative sample.
No cause and effect can be legitimately established. Very difficult to replicate. Low reliability
Time Consuming and Expensive
Problems with a participants memory distortions when re
past events. Validity problems
More potential for observer bias due to the subjective nat
the method.
Can lead to subject attrition (Loss of Participants)
CASE STUDY
This method involves studying one individual or
one social group in detail
Case studies are often used when looking at
people who have gone through an unusual
experience or they are used when looking at
exceptional cases e.g. looking at an individual
with a rare mental disorder
It can be used to look at a broad range of traits
as opposed to a small number of traits that can
easily be looked at in a laboratory
Advantages
Highly detailed data is collected.
The data is high in Ecological Validity
It is often the only suitable method. E.g. Teaching a
Chimpanzee to speak. (Gardner and Gardner 1969)
It is the only suitable method when researching very
rare cases. E.g. a Case of Multiple Personality.
Thigpen and Cleckley (1954)
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Correlation measures the relationship between 2 varia
Disadvantages
No cause and effect can be established. E.g. there
may be a positive correlation between caffeine
intake and stress scores, but the correlation does
not indicate that caffeine is causing the stress.
CORRELATION
Correlation measures the relationship between 2variables to see if there is a trend or a systematic
pattern
In Psychology the pairing of two variables would
usually be a particular individuals score in 2
variables
E.g Stress Score and Caffeine intake. Stress is not
determined by caffeine intake so there can be no
cause and effect from a correlation
Correlation can be plotted out on scatter grams
Advantages
Precise information about the degree of the
relationship can be established by the correlatio
coefficient
No manipulation of behaviour is required
Establishing a relationship between the 2 variabl
may imply that there could be a cause and effect
relationship. Further experimental research canconducted to establish cause and effect
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QUESTIONAIRES
Often used to find out peoples opinions orbehaviours
They can be highly structured enabling
results to be easily analysed using
descriptive statistics
Questionnaires can be less structured
allowing the respondent to give further
details
Advantages
Questionnaires can be highly structured
enabling results to be easily analysed us
descriptive statistics.
Easy to analyse and quantify
Easy to replicate Easy to administer
Disadvantages
Lacks flexibility
People may give biased answers to create a
socially desirable response.
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INTERVIEWS
This involves the researcher askingverbal questions to the participant
Interviews range from having no
structure e.g. just a topic area
established to being very structured
e.g. a list of pre-prepared questions
Advantages
Very Detailed
Very Flexible allowing the researcher
to explore interesting things that
may arise
Disadvantages
Very Time Consuming
Difficult to analyse and quantify
Potential for participants to give incorrect
responses
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Psychologists carry out research using experimental and non-experimental
methods:
1. Experiments are more scientific, but they lack ecological validity
2. Questioning people can be a useful way to measure opinions
3. An interview would allow more depth than a questionnaire, but a
questionnaire is easier to administer
4. The observational method allows observations of naturally occurring
behaviour, The presence of an observer can change participants behaviour
5. Case Studies are used when more detail is required or when looking at an
unusual case. They are time consuming and lack generalisability
6. A correlation indicates whether there is a relationship between 2
variables, but it does not establish cause and effect
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Different participants are used in each
condition of the independent variable. This
means that each condition of the experiment
includes a different group of participants.
This should be done by random allocation,
which ensures that each participant has an
equal chance of being assigned to one group
or the other
INDEPENDENT MEASURES Advantage Avoids order effects (such as practice or fatigue)
as people participate in one condition only. If a
person is involved in several conditions they man
become bored, tired and fed up by the time they
come to the second condition, or becoming wise
to the requirements of the experiment
Disadvantages
More people are needed than with the repeatedmeasures design (i.e. more time consuming)
Differences between participants in the groups
may affect results, for example; variations in age,
sex or social background. These differences are
known as participant variables (i.e. a type of
extraneous variable)
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REPEATED MEASURES
The same participants take part in
each condition of the independent
variable. This means that each
condition of the experiment includes
the same group of participants
Disadvantages
There may be order effects. Order effects refer to
the order of the conditions having an effect on
the participants behaviour. Performance in the
second condition may be better because theparticipants know what to do (i.e. practice
effect). Or there performance might be worse in
the second condition because they are tired (i.e.
fatigue effect.
Advantage
Fewer people are needed as they
take part in all conditions (i.e. saves
time)
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MATCHED PAIRS
One pair must be randomly
assigned to the experimental
group and the other to the
control group
Advantage
Reduces participant (i.e. extraneous) variables
because the researcher has tried to pair up the
participants so that each condition has people
with similar abilities and characteristics
Avoids order effects, and so counterbalancing is
not necessary
Disadvantages
Very time-consuming trying to
find closely matched pairs
Impossible to match people
exactly, unless identical twins!
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Experimental design refers to how participants are
allocated to the different conditions (or IV groups) in an
experiment. There are three types:
1. Independent measures / groups: Different
participants are used in each condition of the
independent variable
2. Repeated measures: The same participants take part
in each condition of the independent variable
3. Matched pairs: Each condition uses different
participants, but they are matched in terms of certain
characteristics, e.g. sex, age, intelligence etc
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Sampling
Type
Def inition Advantages
Disadvantages
Opportunity You use the first
people who fit your
criteria.
Easiest sampling method, very
inexpensive.
Doesn't use a variety of people
that represent the population.
Can be biased because only
people from your own social
group are included.
Systematic Take every 2nd
10th
etc.
person
Hopefully more
representatives, simple to do,
have no bias.
Because it is only based on
chance there is no way of
ensuring it is representative.
Random Everyone in the target
population has an
equal chance of being
selected.
Hopefully more representative
and has no bias.
Can be difficult to implement and
therefore expensive.
Stratif ied The proportions of
people in the sample
are equivalent to thepopulation (eg. 50%
female).
Very representative and
therefore the findings of an
experiment using this methodcan be applied to everybody
more easily.
Complicated to make a sample
that represents everybody so
could take a long time and beexpensive.
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Independent variable (IV):
Variable the experimenter
manipulates (i.e. changes)
assumed to have a direct effect
on the dependent variable
A variable is anything that can vary, i.e. changed or be
changed, such as memory, attention, time taken toperform a task etc
Variable are given a special names that only apply to
experimental investigations. One is called the dependant
variable (DV) and the other the independent variable (IV).In an experiment, the researcher is looking for the possible
effect on the dependant variable that might be caused by
changing the independent variable
Dependent variable (DV):
Variable the experimenter
measures, after making
changes to the IV that areassumed to affect the DV
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IV = variable manipulated bythe experimenter
DV = variable measured by
the experimenter
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Extraneous variables These are
all variables, which are not the
independent variable, but could affect
the results (e.g. DV) of the experiment.
Extraneous variables should becontrolled were possible. They might
be important enough to provide
alternative explanations for the effects
Confounding variables
These are variables that do
actually have an affect on the
DV. A confounding variable
could be an extraneous
variable that has not been
controlled