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Experimental Design
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Cards (10)
how you
allocate
your participants to the
varying conditions
of your experiment
independent
groups
participant only takes part in
1
level of the IV
-IV
naturally
occurring(gender/age), must use
design
-randomly
allocated to one
level
of IV (
equal
chance)
strengths of independent groups
-only take part in
one
condition, less likely to guess
aim
of study, reducing effects of
demand characteristics
-no
order
effects that can reduce
validity
of findings
weakness of independent groups
-problem with
participant
variables affecting
DV
rather
IV
(
personality
)
-more participants required for type of design compared to
repeated
measures
repeated
measures
-participant takes part in
all levels
of the
IV
-cannot be used if IV is
naturally
occurring
-must be
counterbalancing
(ABBA design)
strengths of repeated measures
-design
eliminates
any
effect
of
participant
variables, as all participants take part in
all
conditions (
controlled
)
-fewer
participants required than independent groups
weakness of repeated measures
-take part in
all
conditions, chance of
demand characteristics
affecting the study (work out
aim
behave in way to
fulfill
rather than
true behavior
)
-other effects affect
findings
and reduce
validity
practice
effect: get
better
at task completed similar one
fatigue
effect: more taskes do more
tired
become
boredom
effect:
repeating
similar tasks bore participants
matched
pairs
-participants are
matched
on a
variable
researches wish to
control
(
gender
,
age
,
ethnicity
)
strengths of matched pairs
-participant
variables
controlled
and
eliminated
, as participants have been
matched
psych can be more
confident
IV is
affecting
Dv
rather than participant variables
weakness of matched pairs
-find participants who are
matched
on
all
variables (
time
consuming)
-may be one or two participant variables that are
overlooked
with initial matched (could affect
DV
rather than IV)
-cannot control
every
participant variable
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