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. 
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