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TRUE EXPERIMENTS
leads to an unambiguous outcome regarding what caused an even
- some interventions are implemented
high degree of control → high internal validity
Appropriate comparison
random assignment → group start equivalent
high degree of control of true experiments:
Over the arrangement of experimental conditions
Assignment of participants
Systematic manipulation of IV
Choice of DV
experiments in natural settings:
low degree of control
→ Lower internal validity, but higher external validity because results apply to real-world settings.
experiments in lab
high degree of control of conditions & participant assignment → High internal validity (can identify cause + effect).
Why do we conduct experiments in natural settings? (Applied Research)
Goal is to solve real-world problems & improve real situations.
Applied experiments can have immediate, practical consequences (e.g., education, health, public policies).
They are often used to test whether lab findings apply in real life → boosts external validity.
Why do we use Quasi-Experimental Designs in Applied Research?
random assignment is not always fair, practical, or possible in real-world settings → therefore researchers study naturally occurring groups instead of randomly assigning participants.
Main Challenges in Applied (Quasi-Experimental) Research
Hard to get permission from organizations or authority figures.
Limited access to participants (researcher cannot choose who participates).
Lower internal validity because groups may differ before the intervention.
QUASI-EXPERIMENTS
Quasi- = resembling
Includes some intervention / treatment types
Provide comparison
Lack degree of control because groups are pre-existing
lack of randomization = no random assignments
Key Difference Between True Experiments and Quasi-Experiments
True experiments: use random assignment → high internal validity (can infer cause + effect).
Quasi-experiments: no random assignment → groups may differ before the intervention → lower internal validity.