designing observations Flashcards
what to observe
- Observations can be divided into two categories, differing in how focused they are on specific behaviours.
- Unstructured Observations are relatively non-focused, generating descriptions (qualitative data) of the range of behaviours going on.
- However, if a researcher wishes to try and generate numerical (quantitative) data, then this will require a Structured Observation where the observation of behaviour is guided by the use of specific behavioural categories, defined prior to the observation through the development of what is known as a ‘coding scheme’.
- These coding schemes allow the observer to focus on specific behavioural events and the frequency with which they occur.
coding schemes
in order to record systematically, behaviours to be observed must be operationally defined and measurable; that is, the observers must be able to recognise the behaviours from the definitions and it must be possible for them to accurately record the behaviours exhibited.
guidelines for developing coding scheme
- Focus: Concentrate on behaviours that are relevant to your hypothesis.
- Utility: Consider whether, having recorded the information, it will be possible to use it. If not, either change your scheme if the item is essential or leave it out if not.
- Operational definition: Ensure that it is possible from your definition to decide which behaviours do, and do not, fall into the category.
- Objectivity: Your definition should not require the observer to make inferences about the participant, the behaviour should be explicit; code actions rather than states.
- Context independence: Where possible, behavioural codes should be consistent over different contexts.
- Exhaustive: Codes should cover all possible behaviours, this may necessitate a ‘not recorded’ or ‘waste basket’ category.
- Mutually exclusive: At any time the recording of one code should preclude the need to record another simultaneously. This may however be impractical or inappropriate in some situations.
types of observations
- naturalistic observation
- controlled observation
advantage of naturalistic observation
- Participants in their normal environment – realistic.
- Less likely to be aware of the observation.
- Useful for obtaining observations in situations where intervention would be unethical.
disadvantage of naturalistic observation
- Extraneous variables rarely controlled.
- Difficult to ensure the reliability as recording equipment may be obvious, as would overt note-taking by observers.
study example of a naturalistic observation
Piliavin
advantage of a controlled observation
- Data recording is likely to be reliable.
- Extraneous variables are controlled – high validity.
- Compared to experiments, a greater range of behaviours may be explored.
disadvantages of a controlled observation
- Unfamiliar environment causes unrealistic behaviour.
- Artificial situation increases awareness and demand characteristics.
- Cannot represent the reality of a setting.
study example of a controlled observation
bandura
how to observe
- participant observation
- non-participant observation
- covert
- overt
advantages of participant observations
- Being involved in the sample can allow insight.
- If participants are unaware of the observer’s dual role, they behave more normally which increases the validity and reveals more than they would otherwise.
disadvantages of participant observations
- Participants will be aware that they are being observed, so their responses may not reflect reliability.
- Being involved can make the researcher subjective.
- Hiding the observer raises practical and ethical issues.
example study of participant observations
Piliavin
levine
advantage of non-participant observation
- If the study is covert, data recording can use equipment to make accurate and detailed records.
- Observers can remain objective about the situation as they are not involved.