sampling

• What is probability sampling based on?

  A known population
• What are the categories of probability sampling?

  Random, systematic, stratified
• What is non-probability sampling based on?

  An unknown population
• What are the categories of non-probability sampling?

  Snowball, quota
• What is a sampling frame?

  A list of people in the population
• Why do sociologists use sample surveys?

  To save time and money studying everyone
• What is the importance of an accurate sampling frame?

  It affects the validity of the study
• What are the types of probability samples?

  • Random: Equal chance of selection
  • Systematic: Every nth person is selected
  • Stratified: Sample from specific categories (e.g., age, gender)
• What are the types of non-probability samples?

  • Snowball: Initial group suggests others
  • Quota: Selection based on fixed characteristics (e.g., age, gender)
• How does random sampling work?

  Everyone has an equal chance of selection
• How does systematic sampling work?

  Every nth person from a list is selected
• What is stratified sampling?

  Sampling from specific categories to represent the population
• How does snowball sampling function?

  Initial participants suggest others to include
• What is quota sampling?

  Selection based on fixed characteristics
• What could happen if the sampling frame is inaccurate?

  The results of the study may become invalid
• Why do sociologists prefer representative samples?

  To ensure findings reflect the larger population