observations

Cards (12)

  • observations
    = non-experimental method which allows a researcher to study observable behaviour in a natural controlled setting.
    • allows the researcher more flexibility to study more complex interactions between variables in a more natural way.
  • Naturalistic observations
    =takes place in a natural setting
    • have high external validity
    • lack control of extraneous variables which makes replication difficult.
  • controlled observations
    = usually an artificial setting with a degree of control over variables.
    • high internal validity, replication is possible because of standard procedures.
    • poor external validity
  • Participant observations
    = researcher becomes part of the group they are studying.
    • increase validity because they have a greater insight.
    • might become too involved and lose objectivity
  • non-participant observations
    = researcher remains separate from those they are studying and records their behaviour objectively
    • maintain an objective distance
    • may lose valuable insight into participants behaviour.
  • covert observations
    = participants not aware they are being studied.
    • removes participant reactivity
    • ethics, people might not consent or want to be observed
  • overt observations
    = a participant knows they are being observed and have given their informed consent.
    • more ethically acceptable
    • if participants know they are being watched it may have influence on their behaviour.
  • structured observations
    = target behaviours are identified and clearly defined in categories.
    • easier and more systematic with less chance of bias.
  • unstructured observations
    = produce large amounts of data, appropriate when observations involve a small group.
    • can be difficult to record and analyse, greater risk of observer bias.
  • behavioural categories
    = in order to produce a record of what a researcher sees it's necessary to break up behaviour into categories or a checklist.
    • data collection more structured and objective
    • all possible forms of behaviour should be included
    • categories should be exclusive and not overlap.
  • event sampling
    = counting the number of times a particular behaviour occurs.
    • useful when the target behaviour happens infrequently.
  • time sampling
    = recording behaviour within pre-established time frame
    • effective in reducing the number of observations that have to be made.