Observations Flashcards

(36 cards)

1
Q

What’s an observation?

A
  • when researchers observe participants, and record their behaviour
  • non-experimental method
  • allows them to observe behaviour in a natural or controlled setting
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2
Q

What are the different types of observations?

A
  • naturalistic or controlled
  • participant or non-participant
  • covert or overt
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3
Q

What’s a controlled observation?

A
  • observing behaviour in a controlled environment
  • standardised procedure
  • control over extraneous variables
  • e.g. lab observation
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4
Q

Strengths of controlled observations

A
  • easy to replicate so more reliable
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5
Q

Weaknesses of controlled observations

A
  • behaviour is less natural
  • artificial setting
  • lack ecological validity
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6
Q

What’s a naturalistic observation?

A
  • an observation conducted in a natural, everyday life setting
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7
Q

Strengths of naturalistic observations

A
  • high ecological validity
  • behaviour is natural
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8
Q

Weaknesses of naturalistic observations

A
  • lack of control over extraneous variables
  • harder to replicate so less reliable
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9
Q

What’s a covert observation?

A
  • participants are unaware that they’re being observed
  • researcher is hidden
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10
Q

Strengths of covert observations

A
  • behaviour is natural
  • increased validity
  • no investigator effects or social desirability bias
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11
Q

Weaknesses of covert observations

A
  • ethical issues regarding informed consent
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12
Q

What’s an overt observation?

A
  • participants are aware that they’re being watched
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13
Q

Strengths of overt observations

A
  • no ethical issues regarding informed consent
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14
Q

Weaknesses of overt observations

A
  • unnatural behaviour
  • demand characteristics
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15
Q

What’s a participant observation?

A
  • the researcher is involved in/part of the group of participants
  • researcher’s role may be hidden
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15
Q

Strengths of participant observations

A
  • researcher has better insight and understanding of participants
16
Q

Weaknesses of participant observations

A
  • may interfere with group behaviour
  • hard to replicate data
  • may affect researcher’s objectivity
  • researcher has to rely on memory (no time to make notes)
17
Q

What’s a non-participant observation?

A
  • researcher doesn’t take part in the investigation
  • remains outside of the group
18
Q

Strengths of non-participant observations

A
  • researcher can’t interfere with behaviour
  • researcher can be more objective
19
Q

Weaknesses of non-participant observations

A
  • investigator effects
  • lack of insight
20
Q

What are behavioural categories?

A
  • when researchers break down the behaviour they want to measure into smaller behaviours
  • operationalises the dependent variable
  • e.g. happiness can be broken down into smiling and laughing
21
Q

What’s event sampling

A
  • when a researcher focuses on one or more specific behaviours, and records every time the behaviour occurs throughout the investigation
22
Q

What’s time sampling?

A
  • when researchers categorise/record behaviours at regular intervals
23
Q

What’s observer bias?

A
  • the tendency for the researcher to see what they expect to see when conducting observations, making them less accurate and objective
  • behavioural categories help to reduce observer bias
24
Weaknesses of observational techniques
- observer bias - doesn't tell us much about people's thoughts and feelings
25
What's inter-observer reliability?
- measure of how similar the data collected by different observers is - assesses the external reliability of observations - have at least two observers - observers familiarise with behavioural categories - observe same behaviour at same time - observers compare data to assess similarity and discuss differences - revisit behavioural categories and amend if necessary
26
What's an unstructured observation?
- researcher writes down everything they see - produces data that's rich in detail - appropriate for small scale studies
27
What's a structured observation?
- create behavioural checklist - list of observable and measurable behavioural categories - involves event and time sampling
28
Strengths of structured observations
- easier and more systematic - data collection is more structured and objective - easier to analyse and compare quantitative data
29
Weaknesses of structured observations
- might not be enough categories to include all behaviours - categories might overlap
30
Strengths of unstructured observations
- more detailed
31
Weaknesses of unstructured observations
- qualitative data is harder to analyse - risk of observer bias - difficult to record everything
32
Strengths of event sampling
- useful when behaviour is infrequent
33
Weaknesses of event sampling
- behaviour might be too complex to record everything
34
Strengths of time sampling
- reduces number of observations that have to be made
35
Weaknesses of time sampling
- behaviour may be missed if it occurs between chosen time frame - unrepresentative of observation as a whole