OBSERVATIONAL TECHNIQUES

Cards (19)

  • Definition of an observation – a type of correlation/ nonexperimental research in which a researcher observes human behaviour. 
  • Strengths of observational methods
    S: what people say and do is different, so observations allow us to observe this behaviour. 
    S: researchers can capture spontaneous and unexpected behaviours  
    S: provides information of what people do 
  • Weaknesses of observational methods
    W: observer bias – often affected by what people want to see (solution: train the observers or having multiple observers 
    W: allows us to see what people do but not how they think or feel. 
  • Naturalistic observation – takes place in the environment where the behaviour would normally occur, and the researcher does not interfere in any way with what is happening e.g. observing animals in a zoo or children in a playground. 
    S: high external validity and able to generalise to real life 
    W: hard to replicate due to uncontrolled environment. 
    W: high levels of extraneous variables. 
  • Controlled observation – researcher has some control over the variables and may change but this observation may reduce the naturalness of the environment and participants aware of observation. 
    S: can focus on specific aspects of behaviour 
    S: less extraneous variables 
    W: low external validity so less able to be generalised 
    W: artificial environment means artificial, less natural behaviours. 
  • Covert observation – participants not aware they are being studied but likely to be informed after to ensure ethics. 
    S: natural behaviours – less demand characteristics and increased internal validity 
    W: ethical issues to be considered such as informed consent and privacy 
  • Overt observation – participants are aware they are being observed and have given informed consent – observers try to be as unobtrusive as possible. 
    S: more ethically acceptable  
    W: Knowledge of observation may lead to demand characteristics 
  • Participant observation – observer may become a part of the group they are observing  
    S: provide more insight into the behaviour of the group  
    W: lose objectivity if the observer begins to identify with the group (‘going native’
  • Non-participant observation – observer is purely watching or listening to the behaviour – keeps a distance and does not interact at all  
    S: more likely to be objective 
    W: more likely to be far removed from their participants and not gain as much insight. 
  • ISSUES IN THE DESIGN OF OBSERVATIONS: 
    Things the researcher would have to plan when doing an observational study 
    12 markercase scenario – designing own observational research 
  • Structured vs unstructured
    STRUCTURED: 
    • Involves pre-determined behaviours and sampling methods 
    • Appropriate for larger observations with more people  
    • Makes use of behavioural categories  
  • Structured vs unstructured

    Strengths of structured interviews:
    • Recording of data is easier and more systematic 
    • Produces quantitative data – easier to analyse 
    Weaknesses of structured interviews:
    • Data lacks detail 
  • Structured vs unstructured
    UNSTRUCTURED
    • Researcher writes down everything they see 
    • Produces rich data 
    • Appropriate for smaller observations 
  • Structured vs unstructured

    Strengths of unstructured interviews
    • More detailed and rich data 
    Weaknesses of unstructured interviews
    • Produces qualitative data - more difficult to record and analyse 
    • Greater risk of observer bias – only recording certain behaviours if no behaviour categories. 
  • Behavioural categories
    Breaking down behaviours into smaller components that are observable and measurable (operationalisation of behaviour) also known as a behaviour checklist. 
    MAKE SPECIFIC EXAMPLES!! 
    For example, aggression in the playground can be broken down into kicks, punches, swears etc 
  • Evaluation of behavioural categories
    S: makes data collection more structured and objective 
    W: problematic if categories are ambiguous or unclear 
    W: all target behaviours should be included or may result in ‘dustbin categories’ where many behaviours are deposited 
  • Sampling methods
    Event sampling – a target behaviour is established (in a behaviour checklist) and then is recorded (tally marks) every time it occurs 
    S: when the target behaviour is infrequent and may be missed if time sampling is used 
    W: if the target behaviour is too complex, the observer may overlook details 
  • Sampling methods
    Time sampling – a target individual (or group) is identified and then the researcher records their behaviour in a fixed time e.g. every 5 minutes. 
    S: effective in reducing no. of observations that must be made 
    W: the times when behaviour is sampled may be unrepresentative of the observation as a whole 
  • Inter-observer reliability
    A single observer may miss important details or may only notice events confirming hypothesis – researcher bias 
    Can be reduced by either multiple observers or making a video recording to watch back later.