Observation (1) Flashcards

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1
Q

Observation I carried out

A

.counting number of students texting vs on the phone (visual vs auditory communication)
.29 visual vs 1 auditory

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2
Q

5 key questions

A
who
what
where
when
how
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3
Q

the 7 coding frames

A
focus
utility
operational definition
objectivity
context independence
exhaustive
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4
Q

coding frame: focus

A

concentrate on behaviours that are relevant

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5
Q

coding frame: utility

A

is it possible to use the information recorded?

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6
Q

coding frame: operational definition

A

ensure you can identify which behaviours do and do not fall into the category

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7
Q

coding frame: objectivity

A

your definition should not require observer to make inferences about participant

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8
Q

coding frame: context independence

A

behavioural codes should be consistent over different contexts

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9
Q

coding frame: exhaustive

A

.codes should cover all possible behaviours

.may need a ‘waste basket’ category

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10
Q

coding frame: mutually exclusive

A

recording one code should preclude needing to record another simultaneously

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11
Q

naturalistic observation

A

natural setting e.g Piliavin

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12
Q

2 naturalistic observation pros

A

increased ecological validity
no demand characteristics
can record unexpected behaviours

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13
Q

2 naturalistic observation cons

A

more uncontrollable variables
harder to observe
harder to be ethical e.g consent/debrief etc

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14
Q

controlled observation and e.g

A

controlled environment e.g Milgram

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15
Q

2 controlled observation pros

A

controls more variables
easier to observe
easier to be ethical

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16
Q

2 controlled observation cons

A

decreased ecological validity

demand characteristics risk

17
Q

participant observation and e.g

A

observer goes undercover e.g Piliavin

18
Q

2 participant observation pros

A

may see behaviours not visible to public

deeper insight into reasoning

19
Q

2 participant observation cons

A

difficult to record data while youre part of a group

unethical

20
Q

non participant observation and e.g

A

observed by someone outside the group e.g Milgram

21
Q

2 non participant observation pros

A

more ethical - not impacting on participants

easier to physically record the data

22
Q

2 non participant observation cons

A

lacks deeper insight so could make incorrect assumptions

still not quite ethical

23
Q

covert (undisclosed) observation and e.g

A

participants unaware of being recorded e.g Piliavin, Bandura

24
Q

2 covert observation pros

A

no demand characteristics

can easily observe in a range of places

25
Q

2 covert observation cons

A

less ethical - no i.consent

difficult not to draw attention still

26
Q

overt (disclosed) observation and e.g

A

participants aware of being recorded e.g Kohlberg

27
Q

2 overt observation pros

A

ethical

easy to physically record - not worried about getting caught

28
Q

2 overt observation cons

A

demand characteristics

harder to gain sample

29
Q

event sampling def

A

tally recorded every time a pre-determined behaviour occurs

30
Q

3 time sampling methods

A

one-zero sampling
instantaneous scan sampling
predominant activity sampling

31
Q

one-zero sampling

A

during each time interval, a record is made of does behaviour happen or not

32
Q

instantaneous scan sampling

A

at the end of an interval , a record is made of what behaviour is occurring

33
Q

predominant activity sampling

A

continuous observation. record made of what behaviour occurred most in that time interval (estimation)

34
Q

2 event sampling pros

A

.records amounts, not just if it happens or not
.more accurate
.better for non frequent behaviours

35
Q

2 event sampling cons

A

.may miss behaviours if recording/watching at same time
.time consuming
.no info on when

36
Q

3 time sampling pros

A
.different ways
.easy to analyse
.can see how it changes over time
.see when behaviour occurs
.less effort/concentration required
37
Q

2 time sampling cons

A

.miss out some behaviours

.not fully representative

38
Q

presenting event sampling

A

pie chart

39
Q

presenting time sampling

A

line graph
time along x axis
category along y axis