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Experimental method
Manipulation/selection of IV in controlled conditions to observe the effect on the DV
Experimental strength/limits
- More control over the whole situation
- addresses causality
~ Doesn't reflect on real-world events
~ Uncontrolled variables
~ Participation bias
Non-Experimental method
Describe phenomena as qualitative or quantitative
Non-Experimental strength/weakness
- Identifies association
~ Can't establish cause and effect
Observational method
researchers collect observations of natural, ongoing behaviour.
Observational strength/weakness
- all factors that influence behaviour are present
- applicability to 'real world' questions
~ Researcher-participant bias
~ Privacy issues
~ Inability to establish causality.
Case study method
Investigation of a small group/ individual that may have highly unusual trait
Case study strength/weakness
- Documented phenomena is useful
- Lead to hypothesis and questions for further research
~ retrospective bias
~ limited generalisability/ small sample size
Correlational method
Measure relatedness of 2 variables and attempt to predict value of one based on another and examine relationship of them without manipulating either.
Correlational strength/weakness
- Provides an index strength of the relationship between the variables
- Can be used to predict the future
~ No manipulation of IV
~ Cannot establish cause and effect.
Longitudinal method
Study of same individuals or group over a long period to observe changes over time.
Longitudinal strength/weakness
- Tracks development and change
- Reduces cohort effects
- Allows for cause and effect analysis
~ Participant attrition (leaving)
~ Time consuming and expensive
~ Cross-generational changes
Cross section method
Study of different groups of people at one time to compare similarities and differences.
Cross section strength/weakness
- Quick and cost effective
- Allows for comparison
- Minimises attrition
~ Cohort effects (generational experiences)
~ Can't establish causation.