Experimental designs

Cards (20)

  • What are the three types of experimental designs?
    Independent groups, repeated measures, matched pairs
  • What is an independent groups design?
    Where two separate groups of participants experience two different conditions
  • What is a repeated measures design?

    Where all participants experience both conditions of the experiment
  • What is a matched pairs design?
    Where participants are paired on a variable or variables relevant to the experiment
  • How would you do a matched pairs design?
    Participants matched > one participant from one pair would be allocated to a different condition of the experiment
  • What is matched pairs an attempt to control for?
    Participant variables
  • Strengths: Independent groups
    Order effects not a problem
    Less likely to guess aims
  • Limitations: Independent groups
    Participants not the same in terms of participant variables - reduced validity
    Less economical
  • Strengths: Repeated measures
    Participant variables controlled
    Few participants needed
  • Limitations: Repeated measures
    Order effects
    Demand characteristics
  • Strengths: Matched pairs
    Less demand characteristics/order effects
  • Limitations: Matched pairs
    Still some participant variables
    Time-consuming and expensive
  • How would a researcher deal with participant variables in an independent groups design?
    Random allocation
  • What is random allocation?
    Evenly distributing participants randomly across all conditions
  • How would you complete random allocation?
    Names in a hat or a name generator
  • How would a researcher deal with order effects in a repeated measures design?
    Counterbalancing
  • What is counterbalancing?
    Half the participants take part in condition A then B and the other half take part in condition B then A
  • What band can be used to remember the order of counterbalancing?
    ABBA
  • Counterbalancing attempts to balance out the effects of order effects
  • Random allocation attempts to balance out the effects of participant variables