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research methods
observations
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Cards (26)
observations
-involve
watching
&
recording
behaviour
-no
IV
or
DV
(would make it an
experiment
)
types
-naturalistic
-controlled
-covert
-overt
naturalistic
-observation of behaviour in its
natural
setting
-researcher makes
no
attempt to
interfere
with /
influence
behaviour
controlled
-some
variables
in
environment
are
controlled
-reduces
naturalness
of
environment
-may be in
lab
overt
-aware
of being observed
-researches try to be
unobtrusive
covert
-not
aware of being
observed
(before & during)
-may be
informed
after
non-participant
-no
interaction
with Ps
-watching/listening to
behaviour
of others
participant
-observer
part of group being observed
-some
interaction
with Ps
naturalistic strength
high
realism
(high
ecological
validity)
naturalistic weakness
lack
of
control
over variables
(conclusions can't be made about
patterns
of behaviour, can't
inter
cause &
effect
)
controlled strength
lack
of
realism
(variables
controlled
)
controlled weakness
high
control
over
variables
(can infer
cause
&
effect
)
covert strength
high
internal
validity (Ps
unaware
of observation)
covert weakness
ethical
issues (no informed
consent
)
overt weakness
lack
internal
validity (
demand
characteristics)
overt strength
lack of
ethical
issues (informed
consent
)
participant strength
greater
insights
into behaviour (as
observer
part of group)
participant weakness
-difficult to be objective
observer
if in group
-observer
may effect
behaviour
of
group
(impact
internal
validity)
non-participant strength
lack
of direct
involvement
ensures greater
objectivity
(increased
internal validity
)
non-participant weakness
data
lacks
richness
as may not be possible to understand
feelings
of
group
(lowering
internal
validity)
recording observations -
sampling
-event
-time
-point
event
sampling
record
how many
times
certain
behaviour
occurs in
set
amount of
time
time
sampling
record what
behaviours
are occurring at different
time intervals
point
sampling
record what
behaviours
just
one P
in
group
is doing
observer
checklist
-clearly
operationalise
-specific
categories
to tick off
-produce
quantitative
data
-clear
descriptions
of
behaviours
pilot
study
-small-scale
trial
run of
study
before
main
-checks there's
no problems
-check
behaviours
in list are
appropriate
-see if any
behavioural categories
are
missing
-ensure
observers
clear about
behaviours
they're
identifying