Observations Flashcards

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1
Q

Observational design: unstructured observation

A

Researcher writes down everything they see.
Tends to produce accounts of behaviour that are rich in detail.
Appropriate for small-scale investigations that only involve a few participants.
Does not use any categories.
Qualitative (worded description).

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2
Q

Observational design: Structured observation

A

These allow the researcher to quantify their observations using a pre-determined list of behaviours (behavioural categories) and sampling techniques.
Target behaviours become the main focus.
Quantitive (tally’s per categories).

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3
Q

Observational design: Behavioural categories

A

Breaking target behaviours up into a set of categories. Target behaviours to be studied should be precisely defined and made observable and measurable.
No interpretation is needed.
No overlap between categories.
No ‘dustbin’ option (other).

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4
Q

Observational design: event sampling

A

Counting the number of times a particular behaviour occurs in a target individual or group.
This catches more infrequent behaviours. However, it is more time and effort for the researcher.

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5
Q

Observational design: time sampling

A

Recording behaviour within a pre-established time frame.

This is less time and effort for the researcher. However, you may miss infrequent behaviours.

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6
Q

Strengths of quantitative/structured observation

A

Easy to interpret/analyse (less time to analyse).

Less affected by observer bias (behavioural categories - no interpretation).

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7
Q

Limitations of quantitative/structured

A

May miss something that you didn’t expect to see.

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8
Q

Strengths of qualitative/unstructured

A

Much more detailed.

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9
Q

Limitations of qualitative/unstructured

A

Not as easy to analyse (time-consuming).

More likely to be affected by observer bias as it is in their own words, so it may be subjective.

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10
Q

Types of observation: naturalistic

A

It takes place in the setting or context the target behaviour would usually occur.

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11
Q

Types of observation: controlled

A

There is some control over variables to observe effects and also control of extraneous variables.

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12
Q

Types of observation: Participant

A

The observer takes part in the behaviour observed.

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13
Q

Types of observation: non-participant

A

The observer doesn’t take part in the behaviour observed.

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14
Q

Types of observation: covert

A

The participants do not know they are being observed.

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15
Q

Types of observation: overt

A

The participants do know that they are being observed.

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16
Q

Strengths of naturalistic observation

A

Validity.
Naturalistic is in the setting that participants would normally be in.
This means high ecological validity.
Therefore, we can generalise findings to the real world.

17
Q

Limitations of naturalistic observation

A

Extraneous variables.
No control over extraneous variables.
Extraneous variables could affect the observations results and make the findings invalid.

18
Q

Strengths of controlled observation

A

Replication.
Can be replicated more easily than an unstructured observation due to control.
Therefore, the data is more reliable.

19
Q

Strengths of covert observation

A
Participant reactivity.
They don't know they are being watched.
Can't change their behaviour.
No demand characteristics.
Make the results more accurate.
20
Q

Limitations of covert observation

A

Ethics.
Consent is not gained.
This goes against the participants rights.
It is therefore unethical.

21
Q

Strengths of participant observation

A

More insight.

Greater understanding of the thoughts and feelings of the participants reasoning behind behaviours.

22
Q

Limitations of participant observation

A

Could lose objectivity.
Could create bias from the researcher with emotional connections/personal opinions.
Less scientific.