observation is a way of seeing or listening to what people do without having to ask them. Observation is often uses within an experiment as a way of assessing the dependent variable
strength and limitation of observation:
capture what people do- people often act differently from how they say they will in self-report methods. Observations are useful as they give insight onto spontaneous behaviour
risk of observer bias- researchers interpretation of the situation may be affected by expectations. Bias can be reduced using more than one observer
naturalistic observation takes place where the target behaviour would normally occur
strength and limitation of naturalistic observation:
high external validity- in a natural context, behaviour is likely to be more spontaneous. More generalisable to everyday life
low control- there may be uncontrolled extraneous and confounding variables. This makes it more difficult to detect patters
controlled observations are when some control/manipulation of variables including control of extraneous and confounding variables takes place
strength and limitation of controlled observation:
can be replicated- more easily repeated due to standardised procedures. Findings can be checked to see if occur again
low external validity- behaviour may be contrived as a result of the setting. Findings cannot be applied to everyday life
covert observation is when participants are unaware they are being studied
strength and limitation of covert observation:
demand characteristics reduced- participants don't know they are being watched so their behaviour will be more natural. This increases the internal validity of the findings
ethically questionable- people may not want behaviour recorded, even in public. Participants’ right to privacy may be affected
overt observation is when participants are aware of being studied
strength and limitation of overt observation:
more ethically acceptable- participants have given their consent to be studied. They have the right to withdraw if they wish
demand characteristics- knowledge of being studied influences behaviour. Reduces the internal validity of the findings
participant observation is when the researcher becomes part of the group they are studying
strength and limitation of participant observation:
can lead to greater insight- researcher experiences the situation as the participants do. This enhances the external validity of the findings
possible loss of objectivity- the researcher may identify too strongly with those they are studying. This threatens the objectivity and internal validity of the findings
non participant observation is when the researcher remains separate from the group they are studying
strength and limitation of non participant observation:
more objective- researcher maintains an objective distance so less chance of bias. increase the internal validity of the findings
loss of insight- research may be too far removed from those they are studying. May reduce the external validity of the findings
behavioural categories of observational design is when the target behaviour to be observed should be broken up unto a set of observable categories. This is similar to operationalisation
limitations of behavioural categories of observational design:
difficult to make clear and unambiguous- categories should be self-evident and not overlap, not always possible to achieve. Smiling and grinning would be poor categories
dustbin categories- all forms of behaviour should be in the list and not one dustbin. Dumped behaviours go unrecorded
event sampling of observational design is when a target behaviour/event is recorded every time it occurs
strength and limitation of event sampling of observational design:
useful for infrequent behaviour- the researcher will still pick up behaviours that don't occur at regular intervals
complex behaviour oversimplified- if the event is too complex, important details may go unrecorded. This may affect the validity of the findings
time sampling of observational design is when observations are made at regular intervals like once every 15 seconds
strength and limitation of time sampling of observational design:
reduces the number of observations- rather than recording everything that is seen data (continuous) is recorded at certain intervals. The observation is more structured and systematic
may be unrepresentative- the researcher may miss important details outside of the timescale. May not reflect the whole behaviour