Scientific processes

Cards (14)

  • Methods should be empirical - based on data not theory
  • Data needs to be replicable and let you establish cause and effect
  • What are the 4 kinds of experiment
    • Lab
    • Field
    • Natural
    • Quasi
  • What is a Lab experiment
    Control all relevant variables accept one key variable (which is altered to see what the effect is).
  • What are the strengths of lab experiments
    • Control (effects of confounding variables are minimised)
    • Replication (strict controls mean you can run a study again and check the findings)
    • Causal relationships (ideally it's possible to establish whether one variable actually causes change in another)
  • Weaknesses of lab experiments
    • Artificial (experiments might not measure real life behaviour)
    • Lack ecological validity
    • Demand characteristics (Participants respond according to what they think is being investigated)
    • Ethics (deception often used, making fully informed consent an issue
  • What are field experiments
    Conducted outside lab settings. Behaviour measured in natural environment but a key variable is still altered so it can be measured
  • Strengths of field experiment
    • Causal relationships (manipulating key variables and measuring its effect)
    • Ecological validity (less-artificial than in the lab)
    • Demand characteristics (Guess what researchers expect of them)
  • Weaknesses of field experiment
    • Confounding variables (less control some stuff may happen in natural environment)
    • Ethics (Ps don't agree to take part may be distressed and not be able to debriefed)
  • What is a natural experiment
    Independent variable isn't manipulated and affects dependent variable. Event occurs naturally
  • Strengths of natural experiment
    • Ethics (possible to study variables that it would be unethical to manipulate)
    • Demand characteristics (participants may not know they're in a study)
    • Ecological validity (less artificial)
  • Weaknesses of natural experiment
    • Causal relationships (Don't manipulate IV)
    • Confounding variables
    • Ethics (Deception often used, can't get fully informed consent)
  • What is a Quasi experiment
    Researcher isn't able to R andomly A llocate to put Ps in different conditions. IV is particular feature of the participants
  • Strengths of Quasi experiment
    • C ontrolled conditions
    • Ecological validity (less artificial than lab settings, more likely to generalise to real-life)