Observational Design Flashcards

1
Q

What is an unstructured observation?

A
  • Where the reseacher just writes down everything they see
  • Method may be appopriate when observations are small in scale & involve few ppts
  • But often there may be too much going on in a single observation for researcher to record it all
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2
Q

What is a structure observation?

A
  • Simplifying of the target behaviours that will become main focus of investigation using behavioural categories
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3
Q

How do psychologists attempt to overcome ambiguity of observing their chosen behaviours?

A
  • By clearly defining (operationalising) these
  • Usually involves producing a behaviour checklist or behaviour categories, so researcher knows exactly what to look out for.
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4
Q
A
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4
Q

What are the sampling methods in observational design?

A
  • Continuous recording
  • Time sampling
  • Event sampling
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5
Q
A
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5
Q

What is continuous recording?

A
  • Key feature of unstructured observations
  • All instances of a target behaviour are recorded

May be used for complex behaviours

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6
Q
A
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6
Q

What is event sampling?

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

e.g. event sampling of a dissent at a football match would mean counting the number of times a player disagreed w the referee

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7
Q

What is time sampling?

A
  • Involves recording behaviour within a pre established time frame

e.g. In a football match we may only be interested in one specific player, so we may make a note (using behavioural checklist) of what our target individual is doing every 30 seconds

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7
Q

Structured vs unstrucuted interviews?

A
  • Sturcutred observations that involve use of behavioural categories make recording of data easier & more systematic- data produced is likely to be numerical
  • Unstructured observations benefit from more richness & depth of detail
  • Though may be greater risk of observer bias
  • Researcher may only record what catches their eye & those behaviours may not be important or useful
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7
Q

Advantages of behavioural categories & how they should be correctly made.

A

ADV:
- Can make data more strucutred & objective
*
- Should make sure categories are clear & require no further interpretation
- Categories shld be exclusive & not overlap, e.g. difference between smiling & grinning wld be v difficult to discern

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8
Q

Advanatges & disadvantages of sampling methods?

A

ADV:
- ES in useful when target behaviour or event happens quite infreuquently & cld be missed if time sampling was used
- TS is effective in reducing amount of observations that need to be made

Dis:
- If specified event is too complex observer may overlook important details if using event sampling

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