Types of Observation (College Board AP® Psychology): Revision Note
Naturalistic & controlled observations
An observation is a non-experimental methodology in which the researcher observes and records behavior in either naturalistic or controlled settings
Observers can only record observable behavior — what they can directly see and measure, e.g.
A child hits a Bobo doll with a mallet
A doctor ignores a patient asking them a question
Observers cannot infer motive, intention, feeling, or thought from an observation, e.g.
A child hits a Bobo doll because they are naturally violent — this cannot be concluded from observation alone
All that can be recorded is the behavior itself
The behavior is then linked to the topic of the investigation with no assumption of cause and effect
Naturalistic observation
A naturalistic observation is one in which the researcher observes and records behavior in a natural, real-world setting with no manipulation of variables and no IV, e.g.
Children interacting in a school playground
Shoppers choosing items in a superstore
Crowds at a sporting event
Naturalistic observations are used when it would be inappropriate or impractical to run a controlled experiment to investigate the topic
Participants in a naturalistic observation may be unaware that they are being observed as they are going about their regular, everyday activities
Evaluation of naturalistic observations
Strengths
Naturalistic observations are high in ecological validity
This is because behavior is observed in a real-world setting as participants are going about their daily activities
This means that their behavior is natural and unforced
If the naturalistic observation is covert, participants are unaware they are being observed and are therefore unlikely to experience the Hawthorne effect
This is the tendency to change behavior simply because one knows they are being studied
Therefore data collect has high validity
Limitations
Naturalistic observations cannot be easily replicated due to the uncontrolled nature of the setting
No variables are controlled, which makes it difficult to apply scientific rigor
This reduces the reliability of the findings
If the naturalistic observation is covert, serious ethical concerns arise
Participants cannot give informed consent, cannot exercise their right to withdraw, and it may not be possible to debrief them afterward
If the observation is overt, these ethical concerns are reduced but the risk of the Hawthorne effect increases
Controlled observation
A controlled observation is one in which the researcher implements a level of control, using replicable procedures and sometimes an IV
Participants are aware they are taking part in a study and are given a specific task to complete
The procedures and behavioral categories to be measured are carefully predetermined by the researcher, e.g.
Bandura's (1961) Bobo doll study used a standardized procedure across three distinct phases to observe imitative aggression in children
Ainsworth's (1970) Strange Situation used seven predetermined phases with specific behavioral categories (e.g. separation anxiety, stranger anxiety, reunion behaviors) to assess attachment style in infants
Evaluation of controlled observations
Strengths
Replicable procedures mean the study can be repeated under the same conditions
This increases reliability, particularly when more than one observer is used
Greater control over the procedure allows the researcher to be more confident that observed differences in behavior are linked to the variables being studied,
This increases internal validity
Limitations
The use of controlled conditions and artificial tasks reduces ecological validity
Participants may not behave as they would in real-life settings
This limits the generalizability of the findings
Demand characteristics may act as a confounding variable
Participants who are aware they are being observed may alter their behavior based on what they think is expected of them
This reduces the validity of the findings
Examiner Tips and Tricks
Is a controlled observation experimental or non-experimental? This depends on whether an IV is manipulated:
In Bandura's study, the IV (exposure to an aggressive or non-aggressive model) was manipulated
This makes it experimental
In Ainsworth's Strange Situation, no IV was manipulated
This makes it non-experimental
When identifying a controlled observation in a research scenario, always check whether an IV is present and manipulated before classifying it as experimental or non-experimental
Covert & overt observations
Covert observations
In a covert observation:
participants are not aware that they are being observed and will not have been informed of this in advance
participants may not be able to see the researcher observing them
The only ethically justifiable way to conduct a covert observation is to observe behavior in a public context that would be occurring regardless of the observation, e.g.
shoppers in a mall
crowds at a public event
workers in an open-plan office
Covert observations are most commonly used in naturalistic observations, where the researcher aims to preserve the natural quality of the behavior being observed
Evaluation of covert observation
Strengths
Because participants are unaware they are being observed, their behavior is more likely to be genuine and unforced
Covert observations are therefore high in ecological validity
Participants cannot experience demand characteristics or the Hawthorne effect, which increases the validity of the findings
Limitations
Covert observations raise serious ethical concerns
Participants cannot give informed consent, exercise their right to withdraw and debriefing may not be possible
If the observation involves staged events, participants may be exposed to distress or harm without their knowledge
Covert observations are difficult to replicate due to their intrusive and often ethically problematic nature, which reduces reliability
Overt observation
In an overt observation, participants
are aware that they are being observed and may have been informed of this in advance
might be able to see the researcher observing them
Overt observations are most commonly used in controlled observations, where the researcher needs to set up specific conditions and tasks, e.g.
In Bandura's Bobo doll study children knew they were participating in a study
In Ainsworth's Strange Situation mothers and infants were recruited and aware of the procedure
Evaluation of overt observation
Strengths
Ethical guidelines can be upheld as participants are aware of being observed
Participants can give informed consent, exercise their right to withdraw, and be properly debriefed afterward
Overt observations can be more easily replicated than covert observations
This is because participants are aware of the procedure, the researcher can use standardized instructions and predetermined behavioral categories consistently across participants
This increases the reliability of the findings
Limitations
Participants are aware that they are being observed, which increases the risk of demand characteristics and the Hawthorne effect
This reduces the validity of the findings
Researcher bias may influence the findings as the researcher may set up the observation schedule to align too closely with their hypothesis
This could lead to recording only behaviors that support their predictions rather than maintaining objectivity
This is a form of confirmation bias
Examiner Tips and Tricks
Demand characteristics and the Hawthorne effect are easy to confuse — both involve participants altering their behavior, but for different reasons:
Demand characteristics = "I think I know what this study is testing, so I'll behave accordingly"
Hawthorne effect = "I know I'm being watched, so I'll behave differently"
In the exam, if a research scenario involves participants responding to what they think the study is about, that is demand characteristics. If participants are simply altering their behavior because they are aware of being observed, regardless of what they think is being tested, that is the Hawthorne effect.
The Hawthorne effect is most relevant in overt observational research; demand characteristics are most relevant in experimental research.
Participant & non-participant observation
Participant observation
In a participant observation, the researcher joins the group being observed and becomes part of it
Participants may not be aware that the researcher is an outsider
Participant observations are therefore most commonly covert, e.g.
Rosenhan (1973) and confederates had themselves falsely admitted to psychiatric hospitals and recorded their observations from within
Piliavin (1969) and confederates posed as ordinary passengers on New York subway trains, staging emergency scenarios to observe bystander behavior from within the group
Evaluation of participant observation
Strengths
Participant observations mean that the researcher (and confederates) can get fully involved with the group that they are observing
This is because researcher can gain full access to the group's real thoughts, feelings, and conversations
Therefore the data collected is high in ecological validity
Deep immersion in the group may reveal new topics or behaviors worthy of further investigation
E.g. In Piliavin's New York subway study, the observers noted that many of the female passengers did not help in the emergency
This could give rise to further research on gender in bystander behavior
Limitations
Participant observations could result in the researcher having a restricted view of what they wish to observe, missing important behaviors that occur outside their immediate access
E.g. in Rosenhan's study, the researcher and confederates did not have full access to every part of the hospital and all of the staff
This limits the usefulness of participant observations
Deep immersion increases the risk that the researcher loses objectivity
They may begin to identify with those they are observing, introducing bias into their recording and interpretation of behaviour
This would damage the validity of the findings
Non-participant observation
In a non-participant observation, the researcher remains separate from the group they are observing
Participants may or may not be aware that they are being observed
This type of observation can be overt or covert
The researcher takes no part at all in the procedure, e.g.
Bandura observed children's behavior from an adjacent room via a one-way mirror
Ainsworth observed mother-infant interactions via a one-way mirror
Evaluation of non-participant observation
Strengths
The researcher can keep an objective distance from what is being observed
This reduces the risk of bias and preserves the validity of the findings
The researcher is more likely to have a good vantage point from which to observe behavior as they are not restricted to particular particular locations or interactions
This increases the scope of the observation so that more data can be gathered
Limitations
Being removed from the group means the researcher may miss key detail and insight that would only be accessible through direct participation
This means that data from a non-participant observation may lack explanatory power
The researcher may misinterpret behaviors from a distance
Unlike a participant observer, they cannot seek clarification from participants
This may reduce the validity of their interpretations
Examiner Tips and Tricks
Naturalistic observation is not the same as a field experiment — a field experiment involves the manipulation of an IV; a naturalistic observation does not.
A controlled observation is not automatically an experiment — it depends on whether an IV is manipulated; always check this before classifying the methodology.
Observers cannot infer mental states from behavior — only what is directly observable can be recorded. Attributing motive or intention goes beyond what the data supports.
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