Define a controlled observation.
Conditions are manipulated by the researcher, usually in a laboratory/artificial environment. E.g. Ainsworth. (AO1)
Strengths of controlled observation.
High reliability → controlled and standardised environment → can be easily repeated → ↑ respect from professionals/public. (AO3)
Limitations of controlled observation.
Low ecological validity → artificial setting → difficult to generalise → ↓ external validity. (AO3)
Define a naturalistic observation.
Watching behaviour in the participant’s natural environment with no manipulation. E.g. playground aggression. (AO1)
Strengths of naturalistic observation.
Less prone to demand characteristics → participants behave naturally → ↑ internal validity. High ecological validity → easier to generalise → ↑ external validity. (AO3)
Limitations of naturalistic observation.
Low reliability → hard to replicate in same conditions. Potential ethical issues → lack of informed consent. (AO3)
Define an overt observation.
Participants are aware they are being observed; observer is clearly visible. (AO1)
Strengths of overt observation.
Ethically appropriate → participants know they are observed → can give consent. (AO3)
Limitations of overt observation.
More prone to demand characteristics → participants may help/hinder → ↓ internal validity. (AO3)
Define a covert observation.
Observations conducted without participants’ awareness, e.g., hidden observer, secret cameras, two-way mirror. (AO1)
Strengths of covert observation.
Less prone to demand characteristics → participants behave naturally → ↑ internal validity. (AO3)
Limitations of covert observation.
Ethical issues → participants unaware → lack of consent/invasion of privacy. (AO3)
Define participant observation.
Researcher is involved in the group. Data collected whilst part of the group. E.g. joining a cult or football hooligans. (AO1)
Strengths of participant observation.
Gains in-depth understanding of group behaviour → captures feelings and motivations → ↑ internal validity. (AO3)
Define non-participant observation.
Researcher is not involved with the group. Data collected from a distance, e.g., video camera. (AO1)
Strengths of non-participant observation.
Reduces researcher bias → increases objectivity → ↑ internal validity. (AO3)
Limitations of participant observation.
Researcher may influence the group → ↓ internal validity. (AO3)
Limitations of non-participant observation.
Observer may miss important aspects of behaviour → ↓ internal validity. (AO3)
What are the four key questions to identify observation type?
1) Type of environment: controlled or naturalistic. 2) Are participants aware: covert or overt. 3) Is the researcher part of the group: participant or non-participant. 4) Behaviour categories are specific and measurable. (AO1)
Why use behaviour categories in observations?
Provides clear focus, allows objective data recording, enables tallying for reliability, produces quantitative data for analysis → ↑ internal validity. (AO3)
Example of ambiguous vs clear behaviour categories.
Ambiguous: aggressive behaviour. Clear: kicking, punching, swearing. Ambiguous: helping. Clear: holding door, tidying toy, picking litter. (AO1)