Sample Technique

Cards (9)

  • 7 Sampling Techniques:
    • Opportunity
    • Self Selecting / Volunteer
    • Random
    • Snowball
    • Systematic
    • Stratified
    • Quota
  • Weaknesses of Opportunity Samples
    2 forms of bias:
    • Unrepresentative of the target population, drawn from a very specific area (e.g., on the Highstreet)
    • Researcher bias: researcher has complete control over the selection of participants
  • What is an Opportunity sample

    Opportunity Sample
    • Researcher selects anyone who is
    readily available and willing to take
    part
    • Simply ask people who are willing and
    available (convenient)
    Whoever is around at the time of the
    study
    Opportunity Sample
  • What is a Volunteer Sample
    • Involves participants selecting themselves to be part of the sample (self-selection)
    • Researcher places an initial advertisement (magazine/newspaper/radio/email) asking for volunteers
  • Strengths of a volunteer sample
    Strengths:
    • Easy, requires minimal input from the researcher, less time consuming
    • Ends up with participants who are more engaged, more so than someone who was stopped in the street.
  • Strengths of an opportunity sample
    • Less costly in terms of money also
    • Convenient method
    • Saves time and effort
  • Weaknesses of a Volunteer Sample
    • Volunteer bias: asking for volunteers may attract a certain profile/type of person, one who is more curious and likely try to please the researcher (issues with generalizability)
  • What is a Random Sampling technique
    • All members of target population have an equal chance of
    being selected
    Complete list of all members of target population are
    obtained
    • Names on list assigned a number
    Sample selected though lottery method (i.e. names/numbers out of hat)
  • Strengths of a Random Sampling technique
    • Reduces chances of a biased sample: extraneous variables should be equally divided between different groups, representing target population
    • Free from researcher bias– the researcher has no control over who gets selected