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Observational Methods
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Observational research
Naturalistic observation (field observation)
Systematic observation
Contrived (set-up) observation
Participant observation
Naturalistic observation
Observing behaviors as they naturally occur, often over extended periods
Provides rich, qualitative data and excellent ecological validity—but typically challenging to quantify
Systematic observation
Focuses on specific, pre-defined behaviors using structured coding systems
Makes data quantifiable and hypothesis-driven, but may miss unexpected behaviors
Contrived observation
Behavior is observed in controlled settings—either in a lab or orchestrated field context
Offers control and repeatability but may reduce naturalness
Participant observation
The researcher becomes part of the group being studied—offering insider insight, but introducing the risk of losing objectivity and ethical complexities
Quantitative
Emphasizes counting clearly defined behaviors across potentially large samples, enabling statistical analysis
example: recording frequency of sharing among preschoolers
Qualitative
Focuses on rich, descriptive accounts of behaviors in context—like detailed field notes or narrative summaries—often from small samples
Coding systems
Essential for systematic observation—researchers define and operationalize behaviors into specific categories and recording procedures
Reactivity
When individuals alter behavior because they’re being observed
Mitigated through unobtrusive or disguised observation techniques
Observer bias
Subjective expectations may skew what the observer notices or records
Use “blind” observers and inter-rater reliability checks to reduce bias
Reliability
Consistency among observers (inter-rater reliability) or consistency in the same observer (intra-rater reliability) ensure measurement stability
Ecological validity
Naturalistic observation excels here as behaviors are observed in real-life settings, increasing the generalizability to real-world contexts