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Cards (28)
Lab experiments:
Tightly
controlled
environment
Manipulated
IV
Measures
DV
Controls
EV
Lab experiment A03: STRENGTH
I: high
internal
validity
E: Tightly
controlled
conditions with manipulation of IV which means the researcher has
high
control over EVs
C: Certain the only thing
affecting
the DV is the IV - measured what they
intended
to measure.
Lab experiment A03: STRENGTH
I: high
reliability
E: can be
repeated
easily and get the same result
C: shows the findings were
consistent.
Lab experiments A03: WEAKNESS
I: low
ecological
validity
E:
Artificial
environment - participants may not act the same way they would in the real world
C: affects the extent to which we can
generalise
the findings to the real world.
Field experiments:
More
natural
environment
Manipulates
IV
Measures
DV
Controls
some
EVs
Field experiment A03: STRENGTH
I: high
ecological
validity
E: accurately
represents
the real world and results can then be
generalised
C: results can be
generalised
to real world and used to develop practical
applications
or understand
behaviour
in the real world.
Field experiment A03: STRENGTH
I: fewer demand
characteristics
E: behaviour is more likely to be natural as they are less likely to guess the
aim
C: Adds internal validity as we can trust the DV has been
affected
by the IV
Field experiments A03: WEAKNESS
I: lack of
control
E: In a natural environment
extraneous
variables cannot be controlled
C: If there are EVs tit cannot be guaranteed that the DV has been
affected
by the IV.
Quasi experiments:
IV is based on existing
difference
, age or gender
tightly
controlled
environment
experimenter does
not
manipulate the IV
Measures the
DV
Quasi experiment A03: STREGNTH
I: high
reliability
E: Done in a
controlled
environment meaning they can be done in the same way again and again
C: results are
accurate
and can be repeated and be generalised to the real world
Quasi experiment A03: WEAKNESS
I:
cofounding
variables
E: cannot randomly allocate participants to conditions so there may be cofounding variables like gender
C: Low internal validity because we are not confident that the DV is a result of the IV as the cofounding variables may have
affected
the
DV.
Natural experiments:
Conducted in
natural
environment
no control over IV - naturally
occurring
Measures the
DV
has no
control
over EVs
Natural experiment A03: STRENGTH
I: high
ecological
validity
E: Take place in real world so you will get data that is more
generalisable
to the real world
C: Important as it means we can generalise the results to the real world and able to develop practical
applications
or explain real world
behaviour.
Natural experiments A03: STRENGTH
I: fewer demand
characteristics
E: more likely to show
real
behaviours as they are less likely to know they are in a study
C: confident that the DV has been
affected
by the IV.
Natural experiments A03: WEAKNESS
I: lack of
control
E: IV is not being directly
manipulated
which means there is a risk of
extraneous
variables
C: affect internal validity as it could be affected by EVs and be
unreliable.
Independent
measures design:
Involves using different people in each condition
Independent A03: STRENGTH
I: low chance of order
effects
E: In both conditions - better through
practice
or worse through
fatigue
- only complete one condition
C: only thing affecting the
DV
is the
IV
Independent A03: STRENGTH
I: fewer
demand
characteristics
E: take part in one condition so less likely to guess the
aim
C: confident the DV has been affected by the IV
Independent A03: WEAKNESS
I:
individual
differences
E: different people so their performance could be affected by their personality/
intelligence
C: cannot be
confident
the IV is affecting the DV as it could be
extraneous variables
Repeated measures design:
same people part of
both
conditions
Repeated A03: STRENGTH
I:
individual
differences
E: Only change between the conditions is the
IV
C: can determine a
cause
and
effect
relationship because individual
differences
are not affecting the DV.
Repeated A03: WEAKNESS
i: increased
demand
characteristics
E: take part in
both
conditions so more likely to guess the
aim
of the study and then
change
their behaviour accordingly
C: not truly measuring the
behaviour
of the participants meaning there is
low
internal validity
Repeated A03: WEAKNESS
I:
order
effects
E: take part in two conditions - could get
better
in second condition through practice or
worse
through fatigue
C: not confident the only thing affecting the DV is the IV
Counterbalancing:
ABBA
method
Half of participants take part in condition A and then complete condition B later
the other half take part in Condition B and complete condition A later
the ordering of the groups
cancels
out order effects
Matched
pairs design:
different participants in each condition but
matched
with another participant who is
similar
in a number of variables
Give them a pre-test - pair people up with similar scores - randomly allocate to different conditions + then compare
Matched A03: STRENGTH
I: reduced individual
differences
E: e.g. memory study that pairs people with their age in different conditions there will less affected by age
C: only measuring impact of
IV
on DV and not impact of
individual differences
Matched A03: STRENGTH
I: reduced demand
characteristics
and no order effects
E: only taking part in
one
condition so will not get
better
or
worse
and are less likely to guess the
aim
C: only measuring impact of
IV
on the DV and not impact of individual
differences.
Matched A03: WEAKNESS
I:
individual
differences still happen
E: Although they are reduced everyone is
different
and it is impossible to match people perfectly in different conditions
C: researcher cannot control
individual differences
meaning there will be
low
internal validity as cannot be sure the IV is affecting the
DV
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