observational design Flashcards

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1
Q

what are two ways of recording data

A

unstructured observation, structured observation

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2
Q

unstructured observation

A

when the researcher writes down everything that they see.

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3
Q

what type of data does unstructured observation create

A

accounts of behaviour which are rich in detail

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4
Q

when is unstructured observation appropriate

A

when observations are small scale and do not involve lots of participants

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5
Q

structured observation

A

simplifying target behaviours using behaviour categories

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6
Q

when is structured observation used

A

when there is to much going on in a single observation for researchers to record it all

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7
Q

behavioural categories

A

when a target behaviour is broken up into components that are observable and measurable (operalisational)

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8
Q

what should behavioural categories include

A

all ways the researcher should ensure that they have as possible, included all the ways in which the target behaviour may occur within their behavioural checklist. there should be no need for infereneces to be made

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9
Q

types of sampling method

A

event sampling, time sampling

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10
Q

when would sampling (event and time) methods be used

A

in structured observations, when it is impractical to write down all observations of target behaviour

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11
Q

event sampling

A

counting the number of times a particular behaviour occurs in a target individual or group

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12
Q

time sampling

A

involves recording behaviour within a pre-established time frame.

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13
Q

event sampling example

A

event sampling of dissent at a football match would mean counting the number of times players disagree with the referee

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14
Q

time sampling example

A

in a particular football match we may only be interested in one specific player so we may take note (using a behavioural checklist) of what our target individual is doing every 30 seconds

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15
Q

inter-observer reliability

A

to make data recording more objective and unbiased, observations should be carried out by at least two researchers. the data from different observers is then compared to check for consistency

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16
Q

why is inter-observer reliability used

A

single observers may miss important details or may only notice events that confirm their opinions or hypothesis, introducing bias into the process

17
Q

how is inter-observer reliability carried out

A

-observers should familiarise themselves with behavioural categories to be used
-they then observe the same behaviour at the same time, perhaps as part of a pilot study
-observers compare data and discuss differences in interpretations
-observers should analyse the data and inter-observer reliability is calculated by correlating each pair of observations made and an overall figure is produced

18
Q

structured observation strengths

A

-behavioural categories used make it easier to record data and more systematic
-data produced is likely to be numerical so analysing and comparing behaviour observed is more straight forward

19
Q

structured observation limitation

A

less richness in detail and depth of observations

20
Q

unstructured observation strengths

A

more richness and depth of detail in the data collected

21
Q

unstructured observation limitations

A

-produce qualitative data which may be more difficult to record and analyse
-greater risk of observer bias as researcher may only record those behaviours that catch their eye which may not be the most important or useful

22
Q

behavioual categories evaluation

A

-can make data more collection more structures and objective, it is important that they are as clear unambiguous as possible so they do not require further interpretation
-all forms of target behaviour must be included in the checklist and there should not be a ‘dustbin’ category in which may different behaviours are deposited
-categories should be exclusive and not overlap

23
Q

event sampling strengths

A

useful when target behaviour or event happens infrequently and could be missed if time sampling was used

24
Q

event sampling limitation

A

if event is too complex, the observer may overlook important details

25
Q

time sampling strengths

A

effective in reducing the number of observations made

26
Q

time sampling limitations

A

instances when behaviour is sampled might be unrepersentative of the observation as a whole