Observational Techniques And Research Flashcards
What is a naturalistic observation?
Behaviour is studied in a natural situation
Evaluation of a naturalistic observation
+High ecological validity
+Ppts unaware: demand characteristics, social desirability bias
- lack of control
- ethical issues: no consent, right to withdraw
Controlled observation
Some variables controlled by researcher
Reduce ‘naturalness’ of the behaviour being studied
Ppts likely to know they are being studied and may be laboratory conducted
Bobo doll study of Bandura + Ainsworth and Bell’s strange situation
Unstructured observations
Record all relevant behaviour with no system
Behaviour to be studied largely unpredictable
- record most visible/ eye catching behaviours
Structured observations
Use ‘systems’ to organise observations
Research aims decided an area to study
Use operationalised variables to study
What is operationalisation?
Breaking behaviour into a set of measurable components
Create behavioural categories eg infant behaviour:
Behavioural categories should:
1) be objective: observer shouldn’t have to make inferences- record explicit behaviours
2) cover all possible component behaviours
3) each category should be mutually exclusive
Continuous observation as a sampling procedure
Every instance of behaviour that you see is recorded in detail- useful for when behaviour isn’t regularly occurring
Event sampling
Records everything it happens
- difficult to record all
Time sampling
Records at regular intervals
- may miss info
Participant observation
Researcher engages in studied behaviour
Non participant observation
Researcher remains separate
Covert observation
More valid, real behaviour, occurs in public places, issues of deceit and lack of fully informed consent as ppts unaware
Overt observation
Ppts aware they are being studied
-demand characteristics and social desirability bias
+ more ethical
Analysing observational data- what data do unstructured or structured/ systematic observations produce?
Unstructured: qualitative
Structured:’numerical data in categories (quantitative)