Research Methods 2 Flashcards
Define a Controlled Observation
The conditions are manipulated by the researcher. This type of observation may be carried out in a laboratory type situation
Controlled Observation AO3
:) High in reliability as the environment is controlled and standardised (contextualise e.g., what has been controlled?) so the observation can be easily repeated to check for consistent results, Therefore, the controlled observation will gain more respect from other professionals and members of the public.
:( Low in ecological validity as the observation takes place in a controlled/artificial setting (context) which does not reflect real life. Therefore, it is more difficult to generalise the results beyond the setting of the observation which lowers the external validity of the research.
Define a Naturalistic Observation
Watching natural behaviour in a natural environment for the participant where the target behaviour would normally occur. No manipulation of variables e.g. CONTEXT - aggression in playground
Naturalistic Observation AO3
:) High ecological validity as the observation takes place in a natural setting (contextualise e.g., what is the natural setting) therefore it is easier to generalise the results (contextualise e.g., what are they researching?) beyond the setting of the observation to other similar settings increasing the external validity of the research.
:( Low in reliability as they are being observed in a natural environment (contextualise e.g., be specific about what natural setting they are in and what is not being controlled) therefore very difficult to replicate the observation in the exact same conditions to achieve consistent results
Define a overt observation
Participants are aware their behaviour (CONTEXT) is being observed, so will be aware of the purpose of the research.
Observer is clearly visible to participant
Overt Observation AO3
:) More ethically appropriate than a covert observation as participants know they are being observed (contextualise e.g., how do you know the observation is overt? Refer to scenario), so the ppts can give consent for their data to be used.
:( ONLY USE THE TERM DEMAND CHARACTERISTICS & HELP/HINDER IF PPTS ARE OVER 10 YEARS OLD: IF NOT THEY WILL JUST CHANGE THEIR NATURAL BEHAVIOUR
More prone to demand characteristics as ppts are more likely to know they are being watched (contextualise e.g., how do you know the research is overt? Refer to scenario) therefore ppts are likely to change their natural behaviour and may help or hinder the research based on clues given off by the observer or environment. Therefore, this could lower the internal validity.
Define a covert observation
These are observations that are conducted without the knowledge or awareness of the participants. This can be done through an observer being hidden, use of secret cameras or from behind a two-way mirror.
-The observer may become part of a group to observe behaviour, but hide the fact they are doing research
Covert Observation AO3
:) Less prone to demand characteristics as people are less likely to know they are being watched (contextualise e.g., how do you know the research is covert? Refer to scenario)
therefore, they are unlikely to change their natural behaviour, and are less likely to help or hinder the research increasing the internal validity of the observation
:( Participants are unaware they are being studied (contextualise e.g., how do you know the research is covert?) raising ethical issues such as lack of informed consent and invasion of privacy that would need to be resolved. When ppts are informed they may become upset and choose to withdraw their data.
Define a participant observation
The researcher is involved with the group (CONTEXT)
Data collected whilst being part of a group or situation e.g. (CONTEXT) joining a cult or football hooligans
participant observation AO3
:) The observer can gain an in-depth understanding of the group’s behaviour as they are part of the group (contextualise e.g., how do you know? Refer to the scenario) and so will not miss important aspects e.g., feelings and motivations (contextualise here too if you can to what specific behaviour they are observing). Therefore, this increases the overall internal validity of the observation
:( There is increased chance of researcher bias as the observer is part of the group (contextualise how you know by referring to the scenario). This decreases the objectivity of the observation as the researcher’s own thoughts and behaviours may impact the observation and therefore lower the internal validity research.
Define a non-participant observation
The researcher is not involved with the group (CONTEXT). Data collected from distance e.g. video camera
non-participant observation AO3
:) There is reduced chance of researcher bias as the observer is not part of the group (contextualise how you know by referring to the scenario). This increases the objectivity of
the observation as the researcher’s own thoughts and behaviours are less likely to impact the observation and therefore the overall internal validity research.
:( The observer is less likely to gain an in-depth understanding of the group’s behaviour as they are not part of the group (contextualise e.g., how do you know? Refer to the scenario)
and so may miss important aspects e.g., feelings and motivations (contextualise here too if you can to what specific behaviour they are observing). Therefore, this lowers the overall internal validity of the observation
Behaviour categories - designing a study
When you have decided which type of observation to use you also need to create operationalised behaviour categories which basically means being SPECIFIC about what you are observing to make the behaviour more MEASURABLE
How can behaviour categories improve observations
- Provides a clear focus for the observation – observers know exactly what behaviours they are looking for.
- Allows for more objective research/ data recording as the behaviour observed is clearly measurable and therefore less prone to bias.
- Allows observers to tally the behaviour in groups, therefore the results can be compared to check for consistency to see if the observation is reliable.
- Using behaviour categories provides data that is easier to analyse as it provides quantitative/numerical data through tallies.
- Therefore it is important that behaviour categories are specific and measurable to avoid AMBIGUITY when observing behaviour which would lower the internal validity of the observation
Behaviour Sampling in Observations- Event Sampling
The observer decides on specific events (behaviour categories) relevant to the investigation. These relevant events (behaviour categories) are recorded every time they happen within a set period of time. For example, when observing aggression at a football match, recording a tally every single time they see an aggressive act occur within the full time period (90 minutes).
Event Sampling AO3
:) One strength of event sampling is that it is useful when behaviour happens infrequently as the ppts are watched over a period of time and the behaviour category (context) is recorded every time it occurs, so researchers are less likely to miss behaviours, unlike time sampling, in which if the behaviour happens infrequently, it may be missed.
:( However, a limitation of event sampling is that if the behaviour being observed is complex/happens very often the observer may miss some behaviours (context) as they cannot tally in time, unlike time sampling, in which the researcher only tallies at set time intervals and is therefore less likely to miss these behaviours.
Behaviour Sampling in Observations- Time Sampling
Tallying behaviours in a set time interval e.g. every two minutes.
To explain in more detail, recording what behaviour is shown at every two minute time interval, over a one hour period e.g. this would mean the researcher would tally 30 behaviours within the hour.
Time Sampling AO3
:) A strength of time sampling is that it reduces the amount of time the observers must observe behaviours for (contextualise - what behaviours and how long), as they only observe in set time intervals. However, as the researchers are only observing at set time intervals the behaviours tallied (context) may not be representative of the observation.
Ways to assess reliability of observations
Inter-OBSERVER reliability:
1. The reliability of the observation can be checked by using TWO OBSERVERS
2. The two observers would create and be trained on how to use the behaviour categories. (for example… (CONTEXT))
3. Two observers would then conduct the observation separately - watch exactly the same behaviour (contextualise – what behaviour are they measuring in the scenario?) for the same amount of time (contextualise – does the scenario give a time length?) but independently record their observations.
4. The tallies from the two observers should be compared and correlated using an appropriate stats test.
5. A strong positive correlation of +0.8 shows high reliability
Improving reliability of observations
As well as operationalising there are other ways reliability of observation can be improved:
* Having two observers can improve reliability as consistency of the observation can be checked between observers.
* Provide training to observers on how to use the categories appropriately
* Filming the observation so observers can practise categorising behaviours accurately and consistently