sampling

• What is the definition of a sample in research?


  A small group chosen from the target population.
• What does the term sampling refer to in research?


  The process of gaining a sample (group of participants for research).
• What is a population in the context of research?


  A group of people you make assumptions about.
• Who are considered the target population in research?


  The specific people the researcher aims to study.
• What is a sampling frame?


  The list where the sample is selected from.
• What distinguishes a representative sample from a non-representative sample?


  • Representative sample accurately reflects the population.
  • Non-representative sample does not accurately reflect the population.
  • Example: A sample of only girls studying attitudes towards Justin Bieber is non-representative.
• What are the different types of sampling methods discussed?

  1. Opportunity Sampling
  2. Random Sampling
  3. Stratified Sampling
  4. Snowball Sampling
  5. Systematic Sampling
  6. Quota Sampling
• How do you conduct opportunity sampling?


  Pick out the first 10 sweets in your cup as your sample.
• Why is opportunity sampling considered non-representative?


  Because the participants available at the time may not be a cross-section of the population.
• How is random sampling performed using sweets?


  Use a random number generator to select participants from the lined-up sweets.
• What does stratified sampling involve?


  Grouping sweets by color and selecting one sweet from each color group.
• Why is stratified sampling considered more representative?


  It reflects the makeup of the group being studied by including different layers of the population.
• How does snowball sampling work?


  One participant brings more people to be part of the research, expanding the sample size.
• Why is snowball sampling considered non-representative?


  It does not involve a sampling frame and relies on existing participants to recruit others.
• What is the process of systematic sampling using sweets?


  Line up all sweets and choose every fourth sweet as your sample.
• What is quota sampling?


  Taking a tailored sample that reflects the proportions of characteristics in the population.
• How does quota sampling introduce bias?


  It uses the first people seen of a certain characteristic, not giving everyone a random chance of selection.
• What factors should be considered when evaluating sampling methods?

  • Time consumption
  • Complexity
  • Cost
  • Representativeness
  • Potential bias
• What is the exam question format regarding sampling methods?


  Identify and explain two sampling methods a researcher could use.
• How many marks are awarded for identifying a sampling method in the exam question?


  1 mark.
• How many marks are awarded for explaining what is involved in a sampling method in the exam question?


  1 mark.