Research design refers to the overall strategy chosen by a researcher to investigate a problem and test hypotheses. The choice of design can affect the study's validity.
Repeated Measures Design
One sample of participants experiences all conditions of an experiment.
Strengths of Repeated Measures Design:
Controls for participant variables
Requires fewer participants
Participants compared to themselves
Limitations of Repeated Measures Design:
Order effects (boredom, fatigue, practice effect)
Demand characteristics
Difficulty in using identical materials across conditions
Control Measures:
Counterbalancing to control order effects
Independent Samples Design
Participants are randomly allocated to one condition of the experiment.
Strengths of Independent Samples Design:
Controls for order effects
Reduces demand characteristics
Allows use of same materials across conditions
Limitations of Independent Samples Design:
Participant variability may influence results
Requires more participants
Matched Pairs Design
A variation of independent samples design where participants are not randomly allocated but matched based on pre-testing or specific traits.
Strengths of Matched Pairs Design:
Reduces impact of participant variability
Ensures balanced distribution of traits across conditions