Matched Pairs

Cards (32)

  • How does a matched pairs design ensure similarity between groups?
    By matching participants based on key factors
  • What are the two groups in a matched pairs design?
    Control group and experimental group
  • How can strict matching criteria introduce bias in matched pairs design?
    It may exclude participants without matches
  • Why does matched pairs design require fewer participants?
    Each participant has a corresponding counterpart
  • What are the steps in the process of matching participants?
    1. Identify relevant matching variables (e.g., age, IQ)
    2. Create a paired list of participants with similar scores
    3. Randomly assign one from each pair to control group
    4. Randomly assign the other to experimental group
    5. Ensure groups are balanced except for the studied variable
    6. Reduce extraneous variables
  • Why is it important to minimize extraneous variables in research?
    To ensure results are due to the treatment
  • How does matched pairs design reduce extraneous variables?
    By matching on key factors for similarity
  • What are the main advantages of matched pairs design?
    • Reduces extraneous variables
    • Requires fewer participants
    • Enables paired comparison
  • What is the purpose of random assignment in matching participants?
    To ensure balanced groups except for the studied variable
  • What is the first step in matching participants?
    Identify relevant matching variables
  • What should you do after identifying matching variables?
    Create a paired list of participants
  • How are participants paired in a matched pairs design?
    By matching on specific key variables
  • Why is pairing important in a matched pairs design?
    It minimizes differences except for the tested factor
  • How does matching participants reduce extraneous variables?
    By balancing groups on relevant characteristics
  • Why can matching difficulties be costly in matched pairs design?
    It requires significant resources to find pairs
  • In a sleep study, what might complicate matching individuals?
    Age and baseline memory precision
  • What are the key components of a matched pairs design?
    • Reduces extraneous variables
    • Matches participants on key factors
    • Compares control and experimental groups
  • How does paired comparison improve research outcomes?
    Facilitates direct comparison between individuals
  • What is a limitation of matched pairs design related to matching participants?
    Finding perfect pairs can be challenging
  • What does identifying and matching participants add to an experiment?
    It adds to the overall experimental time
  • What are the limitations of matched pairs design?
    • Matching difficulties: challenging and costly
    • Potential bias: strict criteria may exclude participants
    • Time-consuming: adds to overall experimental time
  • Why are matching variables important in participant matching?
    They influence the results of the study
  • What is a benefit of paired comparison in matched pairs design?
    Provides more precise and accurate results
  • In a sleep and memory study, what factors might participants be matched on?
    Age and memory scores
  • How would you implement a matched pairs design in a study on sleep and memory?
    • Identify key variables (e.g., age, memory scores)
    • Create two groups: sleep-deprived and normal sleep
    • Match participants based on identified variables
    • Conduct the experiment to compare outcomes
  • What is done with the paired participants in the matching process?
    Randomly assign one to control, one to experimental
  • What is a matched pairs design?
    An experimental design with paired groups
  • What is one advantage of matched pairs design?
    Reduces extraneous variables
  • What is another limitation of matched pairs design regarding time?
    It is time-consuming to identify participants
  • How many participants are needed in matched pairs design compared to independent groups?
    Fewer participants are needed
  • Why is it important to match participants in a matched pairs design?
    To ensure differences are due to the studied variable
  • What is the main purpose of a matched pairs design?
    To reduce the impact of extraneous variables