sampling methods

Cards (28)

  • What does opportunity sampling involve?
    Using whoever is available and willing
  • What must participants in opportunity sampling meet?
    Criteria of the target population
  • Why is opportunity sampling less time-consuming?
    It uses available participants at the time
  • How does opportunity sampling affect a researcher's budget?
    It is less likely to exceed the budget
  • When is opportunity sampling particularly useful?
    When no sampling frame exists
  • What is a major weakness of opportunity sampling?
    It may produce a biased sample
  • What risk is associated with researcher bias in opportunity sampling?
    Researchers may selectively ask certain people
  • What does volunteer sampling involve?
    Participants selecting themselves to take part
  • How do participants respond in volunteer sampling?
    By responding to an advert for participants
  • What is a strength of volunteer sampling?
    Access to a variety of potential participants
  • What is a weakness of volunteer sampling?
    Volunteers may share similar characteristics
  • What is random sampling?
    Every member has an equal chance to participate
  • How is random sampling conducted?
    By giving each member an equal chance
  • What methods can be used for random sampling?
    Random number generator or drawing names
  • What must participants in random sampling provide?
    Consent to be studied
  • What is a strength of random sampling?
    It produces an unbiased sample
  • How does randomisation affect researcher bias?
    It removes unconscious influence during selection
  • What is a weakness of random sampling?
    It requires obtaining names of the population
  • What is systematic sampling?
    Selecting every nth person from a list
  • How does a researcher select participants in systematic sampling?
    By calculating a random nth number
  • What is a strength of systematic sampling?
    It provides an unbiased selection process
  • What is a weakness of systematic sampling?
    It may still have researcher bias
  • What does stratified sampling involve?
    Identifying subgroups within the target population
  • How does a researcher calculate proportions in stratified sampling?
    By calculating percentages of subgroups
  • What is a strength of stratified sampling?
    It produces a highly representative sample
  • How does randomisation affect stratified sampling?
    It removes researcher bias during selection
  • What is a weakness of stratified sampling?
    It is very time-consuming to conduct
  • Why is stratified sampling more expensive than other methods?
    It requires identifying and contacting subgroups