Observation Flashcards

(47 cards)

1
Q

Overt Observation

A

Takes place where participant knows behaviour is being observed

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2
Q

Covert Observation

A

Participants observed without knowledge

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3
Q

Overt Strengths?

A
  • More ethical/ participants are aware of behaviour (can consent and withdraw)
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4
Q

Overt Weaknesses?

A
  • Observer effects (change behaviour
  • Biased samples
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5
Q

Covert Strengths?

A

-Natural behaviour

  • Reduces demand characteristics/ observer effects
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6
Q

Covert Weaknesses?

A
  • Difficult to record behaviour without suspicion
  • Ethical issues / lack of consent/ cannot withdraw unaware behaviour is being recorded
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7
Q

Structured Observations?

A

Predefined categories that observers look for and record for

  • Uses coding frames allows quantitative data
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8
Q

Unstructured Observations?

A
  • Observers record any behaviour/ interests
  • Qualitative descriptions of data
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9
Q

Structured Strengths?

A
  • Quantitative data- easy to analyse / compare
  • More consistency in recording behaviours
  • Easy to focus on relevant behaviours
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10
Q

Structured Weaknesses?

A
  • Only quantitative data lacks detail
  • Behaviours in pre determined categories are not recorded
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11
Q

Unstructured Strengths?

A

Provides rich, qualitative data, offering detailed insights into a wide range of behaviours in natural settings.

It allows researchers to capture unexpected behaviours that may not have been anticipated in a structured setup.

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12
Q

Unstructured Weaknesses?

A

Data may be hard to analyse or replicate due to its qualitative and subjective nature.

There is a greater risk of observer bias, as recording relies heavily on interpretation and judgment.

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13
Q

Behavioural Categories

A

Predefined actions to observe and tally.

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14
Q

Coding Frame

A

A grid or table used to tally behaviours.

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15
Q

Naturalistic Observation

A

Occurs in a real-world setting without interference.

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16
Q

Controlled Observation

A

Takes place in a structured environment with set variables.

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17
Q

Participant Observation

A

Observer takes part in the situation being studied.

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18
Q

Non-participant Observation

A

Observer remains separate from those being observed.

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19
Q

Event Sampling

A

Count of each time a specific behaviour occurs.

20
Q

Time Sampling

A

Recording behaviours at fixed time intervals.

21
Q

Observer Bias

A

Observer’s expectations affect what is recorded.

22
Q

Observer Effect

A

Participants alter behaviour when they know they’re being observed.

23
Q

Inter-rater Reliability

A

Agreement between multiple observers.

24
Q

Pie Charts:

A

Best for frequency/event sampling.

25
Line Graphs
Best for time sampling across intervals
26
Event Sampling Advantages:
Useful for infrequent behaviours. Provides rich, specific data.
27
Event Sampling Disadvantages:
May miss other relevant behaviours. Difficult with too many behaviours occurring at once.
28
Time sampling Advantages:
Easier to manage than continuous observation. Good for estimating time spent on behaviours.
29
Time Sampling Disadvantage:
May miss important behaviours that occur outside the interval. Less detail than continuous recording.
30
One-Zero Sampling:
Note if behaviour occurs during interval (regardless of frequency).
31
Instantaneous Scan Sampling:
Note behaviour occurring at a specific instant.
32
Predominant Activity Sampling:
Estimate the most frequent behaviour in an interval.
33
Participant Observation Advantages?
Provides deeper insight into participants' behaviours; researchers may understand context better.
34
Participant observation Disadvantages?
Risk of researcher bias; may lose objectivity.
35
Non-Participant Observation Advantage?
More objective; less chance of researcher influencing behaviour.
36
Non-Participant Observation Disadvantages?
May miss out on deeper understanding of context.
37
Validity in Observations Covert Improves
Reduces demand characteristics
38
Validity in Observations Natural Setting Improves
Increases ecological validity
39
Validity in Observations Covert Problem
Ethical issues
40
Validity in Observations Natural Setting Problem
Less control over variables
41
Validity in Observations independent observer Improves
Reduces bias
42
Validity in Observations independent observer Problems
Observer may still make mistakes
43
Reliability in Observations Observer training
Improves inter-rater agreement Needs time and resources
44
Reliability in Observations Clear coding frame
Ensures consistency Time-consuming to create
45
Reliability in Observations Pilot study
Tests consistency before main study Requires extra time
46
Reliability in Observations Check inter-rater reliability
Confirms consistent scoring Observers may still disagree
47
Reliability in Observations Large sample
Ensures generalisability Harder to manage data