Eventsampling records all the data observed during a certain period.
Timesampling uses intervals of time to record data observed. For example, every minute.
Timesampling is limited, as any data outside the time intervals is notrecorded.
Timesampling can be more efficient as researchers are only recording what they see at the set interval times.
Eventsampling can be more demanding for the researcher as all data observed is recorded.
Observations use behaviouralcategories to record data.
Tallycharts are used to record the number of behaviours observed with each behavioural category.
The two main codingschemes for observations are timesampling and eventsampling.
The purpose of using tallycharts in observational design is to efficiently record and count the frequency of specific behaviours or events.
When conducting naturalisticobservations it may not be possible to create tally charts for rating behaviour in advance. This is because the researcher may not be sure what behaviour will be observed.
In eventsampling records are easy to obtain and analyse as researchers can clearly see the total number of behaviours for each event.
Eventsampling can still miss important behaviours, especially if there are only one or two observers.
Timesampling is likely to miss some important behaviour which occurs in the gap between the time intervals, so is not recorded.
Eventsampling involves recording specific behaviours or events that occur within a specified time period, while timesampling involves recording behaviours at specific timeintervals within a specified time period.
One issue with observationaldesign is if many events occur at once it may lead to behaviours not being recorded, therefore reducing validity.
Timesampling recording behaviour that is observed, using a series of fixedtimeintervals.
To record behaviours we use behaviouralcategories, in a tally chart (numerical data).
Behaviouralcategories contain a list of key behaviours, or collections of behaviour, that the researcher will pay attention to and record.