Sampling

Cards (35)

  • What is the definition of a sample in research?
    A group of participants used in a study
  • What is the target population in research?
    Everyone the research results apply to
  • In research on spider phobia, who is the target population?
    Individuals with a fear of spiders
  • For a study on infant monkeys, who is the target population?
    Infant monkeys
  • In a study of Conservative voters' attitudes, who is the target population?
    Conservative voters
  • In a study of prejudice among the over 50s in the UK, who is the target population?
    Individuals over 50 in the UK
  • In research on adapted cookers for blind people, who is the target population?
    Blind individuals using adapted cookers
  • What are the different sampling techniques in psychology?
    • Random sampling
    • Systematic sampling
    • Stratified sampling
    • Opportunity sampling
    • Volunteer sampling
  • What is a random sample?
    Every member has an equal chance of selection
  • What is a systematic sample?
    Selecting every nth person from a list
  • What is a stratified sample?
    Dividing population into subgroups and sampling
  • What is an opportunity sample?
    Participants readily available at the time
  • What is a volunteer sample?
    Participants self-select to take part in a study
  • What is researcher bias?
    Researcher's expectations influence study outcomes
  • What does generalisation mean in research?
    Applying findings to a wider population
  • How would a psychologist select a random sample from a workforce?
    Randomly choose employees from the list
  • How would a psychologist select a stratified sample from a workforce?
    Sample based on department proportions
  • Why are volunteer samples unlikely to be representative?
    They attract a specific type of participant
  • What are the strengths and weaknesses of each sampling method?
    Strengths:
    • Random: Reduces bias
    • Stratified: Proportional representation
    • Systematic: Easy to implement
    • Opportunity: Quick and convenient
    • Volunteer: Easy recruitment

    Weaknesses:
    • Random: May not represent all subgroups
    • Stratified: Time-consuming to organize
    • Systematic: Can introduce bias if list is ordered
    • Opportunity: Limited to available participants
    • Volunteer: Self-selection bias
  • What is the implication of using biased sampling techniques?
    Results may not be generalizable
  • Why might it be problematic to struggle to recruit participants?
    It can lead to unrepresentative samples
  • What is the goal of the sampling methods in psychology?
    To ensure accurate representation of populations
  • What is the relationship between sampling techniques and research outcomes?
    Sampling techniques affect the validity of results
  • How does stratified sampling improve research quality?
    By ensuring representation of subgroups
  • What is the potential downside of using opportunity sampling?
    It may not represent the entire population
  • How can volunteer sampling lead to bias?
    It attracts specific types of participants
  • What is the significance of understanding sampling methods in psychology?
    It helps in designing effective research studies
  • Why is it important to calculate a stratified sample?
    To ensure accurate representation of subgroups
  • What is the role of the psychologist in selecting a sample?
    To choose a method that best represents the population
  • How does the choice of sampling method impact research findings?
    It influences the generalizability of results
  • What is the goal of the sampling methods in psychology?
    To ensure accurate representation of populations
  • What is the relationship between sampling techniques and research outcomes?
    Sampling techniques affect the validity of results
  • How does stratified sampling improve research quality?
    By ensuring representation of subgroups
  • What is the potential downside of using opportunity sampling?
    It may not represent the entire population
  • How can volunteer sampling lead to bias?
    It attracts specific types of participants