sampling methods

• What does random sampling ensure for the population?

  Everyone has the same chance of being chosen
• How can random sampling be created?

  By using a computer
• What is a potential drawback of random sampling?

  It can lead to an unrepresentative sample
• What is systematic sampling?

  Picking every Nth person from participants
• How is N determined in systematic sampling?

  N is the population size divided by sample size
• What is a disadvantage of systematic sampling?

  It can lead to an unrepresentative sample
• What does stratified sampling ensure?

  The sample reflects proportions of groups
• If 33% of the research population are female, what should the sample reflect?

  33% of the sample should be female
• What is a benefit of stratified sampling?

  It provides a representative sample
• What is quota sampling?

  Ensuring the sample fits certain quotas
• What might researchers be told in quota sampling?

  To find a specific number of participants
• What is a disadvantage of quota sampling?

  It can be difficult to find enough participants
• What is snowball sampling?

  Finding participants through referrals
• When is snowball sampling particularly useful?

  When researching hard-to-access groups
• What is a potential drawback of snowball sampling?

  The sample can be unrepresentative
• What is opportunity sampling?

  Using available people willing to participate
• What is a benefit of opportunity sampling?

  It is quick and easy
• What is a disadvantage of opportunity sampling?

  It can lead to an unrepresentative sample