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AQA Psychology
1: Research methods
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Created by
Olivia Harrison
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Cards (57)
Quantitative data
Involves
numbers
, such as scores or number of times something is
observed
in an observation.
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Qualitative data
Non
numerical
, involves answers such as in an
interview
.
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Primary data
Data that has been collected by the
researcher
for purposes of the study
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Secondary data
Data collected by someone else (data that already
exists
)
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Meta analysis
Process of combining the findings from a number of
studies
and produce an overall
statistical
conclusion.
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Lab experiment
Measures the effects of one
variable
(
manipulated
by the E) in highly controlled
conditions
.
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Strength of lab experiment
-High control of
confounding
and extraneous variables
-
replication
is more possible
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Disadvantage of lab experiment
-Lack
generalisability
-may be
artificial behaviour
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Field experiment
Conducted in a more
everyday
setting (not controlled)
IV
still
controlled
by the E
-Participants are often aware they are taking part
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Strength of field experiment
-Higher
mundane realism
-more
authentic
and valid
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Disadvantage of field experiment
Loss of control of
EV
and
CV
Unaware of being studied
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Naturalistic experiment
IV
not manipulated by E
E has no control over
extraneous
variables
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Strength of naturalistic experiment
High
external validity
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Disadvantage of naturalistic experiment
Lacks
realism
and
demand characteristics
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Quasi experiment
-
IV
is an
innate
characteristic of P
-P has to go into a group with same
characteristics
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Strength of quasi experiment
Can be performed under
controlled conditions
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Disadvantage of quasi experiment
Confounding variables
,
cannot advocate participant
randomly
to conditioning
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Cross cultural research
Comparing
behaviour
between different cultures
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Cross sectional research
Differences between
groups
in society
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longitudinal research
Behaviour
change over a period of time
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extraneous variable
undesirable
variables
that influence the relationship between the variables that an experimenter is examining
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pro of primary data
Straight from the
source
Specific
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Con
of
primary data
Time consuming
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Pro of secondary data
Easily accessible
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con of secondary data
May be
outdated
Variation in
quality
and
accuracy
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strength of meta analysis
Larger more varied
sample
Increases
validity
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weakness of meta analysis
prone to
publication bias
- researcher may not select all relevant studies
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Peer reviewers
may...
-Accept work
unconditionally
-accept as long as improvements are made
-
resubmission
-reject
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Purpose of peer review
To help prevent
flawed
or even fraudulent research
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Problems with peer review
Slow
Expensive
Subjective
Prone to
bias
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pilot study
A small scale trial carried out at the start of an
experiment
to check for any flaws e.g. do the questions in the
questionnaire
make sense before being published on a larger scale.
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Demand charactistics
All the features of the study that tell the
P
how the
E
is expecting them to behave
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Standardised
instructions
Instructions given word for word so that people don't get confused by poor instructions
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Standardised
procedure
Procedure made exactly the same so that they don't become
confounding
variables, which may affect
P's
response
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Confounding variables
Variables not
controlled
and contaminate parts of the study
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Extraneous variables
Undesired variables that influence between
IV
and
DV
Must be controlled before carried out
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Random sample
Equal chance
of being selected
+
enhanced external validity
-
time consuming
and may not work
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Systematic sample
Using a set system eg nth number
+
unbiased
-time and effort
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Stratified sample
Sample reflects proportions of people in certain
subgroups
within a population
+
representative
method
-
stratification
is not perfect in the way which people may act different
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Opportunity sample
Most available who are walking by etc
+quick method
-inevitably
biased
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