Observational design Flashcards

1
Q

Unstructured observation

A

Everything recorded which can be quite difficult if a lot is going on.

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2
Q

Structured observation

A

Includes behavioural categories and sampling methods. A naturalistic method often uses structured design.

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3
Q

Behavioural categories

A

The target behaviour to be observed should be broken up into a set of observable categories. This is similar to operationalisation.

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4
Q

What is one limitation of using behavioural categories?

A

Difficult to make clear an unambiguous.
Categories should be self evident and not overlap, which is not always possible to achieve.
Smiling and grinning would be poor categories.

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5
Q

What is a second limitation of using behavioural categories?

A

Dustbin categories.
All forms of behaviour should be in one list and not in one dustbin.
Dumped behaviours go unrecorded.

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6
Q

Event sampling

A

A target behaviour/event is recorded every time it occurs.

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7
Q

What is a strength of event sampling?

A

Useful for infrequent behaviour.
The researcher will still pick up behaviours that do not occur at regular intervals.
Such behaviours could easily be missed using time sampling.

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8
Q

What is a limitation of event sampling?

A

Complex behaviour oversimplified.
If the event is too complex, important details may go unrecorded.
This may affect the validity of the findings.

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9
Q

Time sampling

A

Observations are made at regular intervals e.g. once every 15 seconds.

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10
Q

What is a strength of time sampling?

A

Reduces the number of observations.
Rather than recording everything that is seen (continuous) data is recorded at certain intervals.
The observation is more structured and systematic.

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11
Q

What is a limitation of time sampling?

A

May be unrepresentative.
The researcher may miss important details outside of the time scale.
May not reflect the whole behaviour.

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12
Q

What is one strength of structured observations?

A

Involves the use of behavioural categories making it easier to record data and more systematic.

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13
Q

What is a second strength of structured observations?

A

Data produced is likely to be numerical.
This means that analysing and comparing data between participants is more straightforward.

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14
Q

What is one limitation of unstructured observations?

A

Tend to produce qualitative data.
May be more difficult to record and analyse.

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15
Q

What is a second limitation of unstructured observations?

A

Greater risk of observer bias.
This is because there is no objective behavioural categories.
Researcher may only record behaviours that catch their eye.

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16
Q

What is a strength of unstructured observations?

A

Benefit from more richness and depth in detail in the data collected.

17
Q

What is a limitation of structured observations?

A

Less in depth and detailed data is being collected.

18
Q

Inter-observer reliability

A

When data from at least two observers is compared to check for consistency (reliability).

19
Q

How do you check for inter-observer reliability?

A
  • Observers should familiarise themselves with the behavioural categories to be used.
  • Then they observe the same behaviour at the same time, perhaps as a pilot study.
  • Observers should compare the data they have recorded and discuss any differences in interpretations.
  • Finally observers should analyse the data from the study. It is calculated by correlating each pair of observations made and an overall figure is produced.