observational design
- Created by: Humanur
- Created on: 09-06-21 10:57
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- observational design
- issues in observational design
- ways of recording data
- unstructred observation: researcher writes down everthing they see, tends to produce accounts of behaviour that are very detailed
- appropriate for when observations are small scale and invovle few participants
- structured observation: if there is too much happening, its necessary for the study using behavioural categories
- evaluation
- structured invloves use of behavioural categories are clear and unambigiousa as possible
- data produced more likely to be quantative data- comparing data more straightforward
- unstructred produce more qualitative data- difficult to record and analyse
- but, more richness and depth in dtat, theres a risk or observer bias, may only recored behaviours that "catch their eyes" as theres no behavioural categories to refer to
- unstructred observation: researcher writes down everthing they see, tends to produce accounts of behaviour that are very detailed
- behavioural categories
- a very similar idea to opertionalisation
- target behaviours should be precisely defined and made observable/ measurable
- target behaviour may be 'broken' down to observational categories
- evaluation
- its important that categories are as clear as possible
- must be observable, measurable and self evident, no further interpretation needed
- no 'dustbin category'- which many behaviours are deposited
- categories should be xclusive and not overlap
- sampling methods
- continuous recording of behaviour is key feature of unstructred observations
- all instances of target behaviour is recorder
- event sampling: involves counting number of times a particular behaviour occurs in target individual/ group
- time sample: recording behaviour within pre-establsihed time frame, like noting what target is doing every 30 seconds
- evaluation
- event sampling useful when target behaviour happens infequently and could be missed if time sampling was used
- but if specified event is too complex, observer may over look important ddetails
- time sampling effective is reducing number of observations that have to be made
- but those instances when behaviour sampled might be unrepresentative of observation as whole
- ways of recording data
- issues in observational design
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