Observational Techniques + Designs Flashcards

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1
Q

naturalistic observation

A

watching and recording behaviour in the setting where it would normally take place

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2
Q

naturalisitc: strength

A

high ecological validity
high external validity

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3
Q

naturalistic: weakness

A

low ecological validity IF pps are aware they’re being watched
difficult to replicate
confounding/extraneous variables are uncontrolled

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4
Q

controlled observation

A

watching and recording behaviour in a structured environment
e.g. lab setting

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5
Q

controlled: strength

A

can focus on one particular behaviour
control over extraneous/confounding variables
easy replication

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6
Q

controlled: weakness

A

unnatural behaviour bc unnatural environment
low mundane realism, therefore low ecological validity
demand characteristics

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7
Q

overt observation

A

pps are aware that their behaviour is being watched and recorded

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8
Q

overt: strength

A

ethically acceptable - informed consent

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9
Q

overt: weakness

A

unnatural behaviour bc pps know they are watched
demand characteristics

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10
Q

covert observation

A

pps are unaware that their behaviour is being watched and recorded

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11
Q

covert: strength

A

natural behaviour - high internal validity
no demand characteristics

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12
Q

covert: weakness

A

ethical issues - no informed consent

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13
Q

participant observation

A

observer is part of the group being observed

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14
Q

participant: strength

A

more insight into pps lives
external validity

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15
Q

participant: weakness

A

the researcher loses objectivity bc identify with pps
inaccurate recording of data bc time difference between observation and writing down

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16
Q

non-participant observation

A

researcher observes from a distance (not part of the group being observed)

17
Q

non-participant: strength

A

researcher more objective bc less likely to identify with pps

18
Q

non-participant: weakness

A

observer bias
lose valuable insight

19
Q

observer bias

A

an observer’s reports are biased by what they expect to see and the stereotypes of the situation

20
Q

observer bias: solution

A

checking the inter observer reliability

21
Q

inter-observer reliability

A

many researchers conduct the observational study, reports are compared and scores calculated to show the correlation coefficient
(total number of agreements / total number of observations) x 100
- high inter observer reliability = any score above 80%
- ‘if it ain’t 0.8 it ain’t great’

22
Q

intra-observer reliability

A

the same researcher repeats the observational study, compares the reports and scores are calculated to show the correlation coefficient

23
Q

unstructured observation

A

continuous recording where the researcher writes everything the see during the observation

24
Q

unstructured: strength

A

more richness and depth of detail

25
Q

unstructured: weakness

A

qualitative data - more difficult to record and analyse
greater risk of observer bias

26
Q

structured observation

A

researcher quantifies what they are observing into a predetermined list of behaviours and sampling methods, then tallies how many times they see this
- two types of sampling methods: time sampling, event sampling

27
Q

structured: strength

A

easier (more systematic)
quantitative data is easier to analyse and compare
less observer bias

28
Q

structured: weakness

A

no depth of detail
harder to have higher inter observer reliability bc predetermined list is subjective

29
Q

behavioural categories

A

target behaviour which is being observed is broken up into more precise components which are observable and measurable
e.g. observing aggressive behaviour = shouting, punching, swearing
- shouldn’t overlap: must be clearly operationalised + unambiguous

30
Q

time sampling

A

recording behaviour within a time frame that is pre-established before the observational study

31
Q

time sampling: strength

A

reduces number of observations, therefore less time consuming

32
Q

time sampling: weakness

A

small amount of data
unrepresentative of the observation as a whole

33
Q

event sampling

A

involves the counting of the number of times a particular behaviour is carried out by the observed group

34
Q

event sampling: strength

A

picks up infrequent behaviours

35
Q

event sampling: weakness

A

important behavioural details are overlooked
counting errors
hard to find the beginning and ending of a behaviour