Types of Observations

Naturalistic observation

Observing behaviour where it would naturally occur, with little or no interference from the researcher.

Controlled observation

Observation in a structured, often lab-based environment, where variables can be controlled.

Covert observation

Participants are watched and recorded without their knowledge or consent.

Overt observation

Participants are aware they are being observed; the researcher gains their knowledge and consent.

Participant observation

The researcher becomes part of the group being studied to observe behaviour from within.

Non-participant observation

The researcher remains separate from the group being studied and observes behaviour from the outside.

Naturalistic observation – Strength

High external validity: behaviour is studied in a real environment, so findings can be generalised to everyday life.

Naturalistic observation – Limitation

Lack of control over extraneous variables, making it harder to establish cause and effect.

Controlled observation – Strength

High control over extraneous variables makes the study replicable and reliable.

Controlled observation – Limitation

Artificial setting means behaviour may not be generalisable to real life (low ecological validity).

Covert observation – Strength

Low demand characteristics because participants do not know they are being observed; produces more natural behaviour and higher validity.

Covert observation – Limitation

Raises strong ethical issues because participants cannot give informed consent.

Overt observation – Strength

Ethically acceptable because participants know they are being observed and can give consent.

Overt observation – Limitation

High demand characteristics — participants may alter their behaviour due to awareness of being observed (reducing validity).

Participant observation – Strength

Provides deeper insight into participants’ experiences and meanings behind behaviour; high ecological validity.

Participant observation – Limitation

Risk of losing objectivity — the researcher may become too involved (“going native”).

Non-participant observation – Strength

Allows the researcher to maintain objectivity and avoid bias.

Non-participant observation – Limitation

Less insight into participants’ thoughts and feelings, which may reduce the richness of data.