Cards (30)

  • What is a key advantage of laboratory experiments?
    High control over confounding variables
  • Why can laboratory experiments demonstrate cause and effect?
    Because of manipulation of the independent variable
  • What does high internal validity in laboratory experiments imply?
    More certainty about cause and effect relationships
  • What is a disadvantage of laboratory experiments regarding generalizability?
    They may lack generalizability to real life
  • What are demand characteristics in laboratory experiments?
    Participants may alter behavior due to awareness
  • What is a limitation of tasks in laboratory experiments?
    They may lack mundane realism
  • How do field experiments differ from laboratory experiments?
    They occur in participants' natural environments
  • What is the impact of higher mundane realism in field experiments?
    It may produce more authentic and valid behavior
  • What is a disadvantage of field experiments regarding control?
    Loss of control over confounding variables
  • What ethical issue arises in field experiments?
    Participants may not consent to being studied
  • What is a natural experiment?
    Research not possible for practical or ethical reasons
  • Why do natural experiments often have high external validity?
    They study real-world issues as they happen
  • What is a limitation of natural experiments regarding frequency?
    Rare naturally occurring events limit research opportunities
  • What is a challenge in natural experiments regarding participant allocation?
    Participants may not be randomly allocated
  • What is a characteristic of quasi experiments?
    Independent variable is based on existing differences
  • How do quasi experiments maintain some strengths of laboratory experiments?
    They are often conducted under controlled conditions
  • What is a limitation of both quasi and natural experiments?
    Independent variable is not manipulated by the researcher
  • What is the purpose of a pilot study?
    To test the procedure with a small group
  • Why are pilot studies important in self-report methods?
    They help refine ambiguous or confusing questions
  • How do pilot studies benefit observational studies?
    They check coding systems before the main study
  • What is a correlation?
    A test to see if two variables are related
  • What does correlation not imply?
    That one variable causes the other
  • What are the key differences between correlation and test of difference?
    Correlation has two dependent variables; test has one
  • What type of data does a correlation study require?
    Ordinal variables that can be scaled
  • What are the strengths and weaknesses of laboratory experiments?
    Strengths:
    • High control over variables
    • High internal validity
    • Easier replication

    Weaknesses:
    • Low generalizability
    • Demand characteristics
    • Low mundane realism
  • What are the strengths and weaknesses of field experiments?
    Strengths:
    • Higher mundane realism
    • More authentic behavior
    • High external validity

    Weaknesses:
    • Loss of control over variables
    • Ethical issues with consent
  • What are the strengths and weaknesses of natural experiments?
    Strengths:
    • High external validity
    • Study real-world issues

    Weaknesses:
    • Rare events limit research
    • No random allocation of participants
  • What are the strengths and weaknesses of quasi experiments?
    Strengths:
    • Utilize existing differences
    • Controlled conditions

    Weaknesses:
    • No random allocation
    • Cannot establish cause and effect
  • What are the purposes of pilot studies?
    • Test procedures with a small group
    • Refine ambiguous questions
    • Check coding systems in observational studies
    • Identify potential issues before the main study
  • What are the differences between correlation and test of difference?
    • Correlation has two dependent variables
    • Test of difference has one independent and one dependent variable
    • Correlation cannot establish cause and effect
    • Correlation uses ordinal data; test can use nominal data