Event sampling involves...

Event sampling involves...

• A. Recording the time a particular behaviour occurs.
• B. Counting each occurrence of a behaviour in a group/individual.
• C. Recording continuous behaviour across intervals.
• D. Selecting random moments to observe.

Answer: (B)

In event sampling you record each time the target behaviour occurs and tally every instance. You define what counts as a single event and then note it whenever it happens, giving a total frequency of occurrences during the observation period. This approach is ideal when you want to know how often something happens, not how long it lasts. For example, if you’re studying interruptions in a classroom, you’d mark and count every interruption as it occurs. Time sampling, by contrast, looks at whether the behaviour is present within predefined time intervals, which tells you about the amount of time the behaviour is seen rather than the number of separate events. Recording continuous behaviour across intervals would focus on how long the behaviour lasts or persists, not just how many times it occurs. Random moments observed aligns more with spot checks or random sampling, not capturing every instance as it happens.

In event sampling you record each time the target behaviour occurs and tally every instance. You define what counts as a single event and then note it whenever it happens, giving a total frequency of occurrences during the observation period. This approach is ideal when you want to know how often something happens, not how long it lasts. For example, if you’re studying interruptions in a classroom, you’d mark and count every interruption as it occurs.

Time sampling, by contrast, looks at whether the behaviour is present within predefined time intervals, which tells you about the amount of time the behaviour is seen rather than the number of separate events. Recording continuous behaviour across intervals would focus on how long the behaviour lasts or persists, not just how many times it occurs. Random moments observed aligns more with spot checks or random sampling, not capturing every instance as it happens.