9. What does the size of the sample usually depend on?
A) The researcher’s personal opinion B) The research budget only C) The desired accuracy and level of detail
5. Which non-probability sampling method involves selecting people who are easiest to reach?
A) Convenience sampling B) Systematic sampling C) Cluster sampling
4. What does stratified sampling help researchers do?
A) Focus on only one part of the population B) Ensure all subgroups are represented C) Speed up the data analysis process
3. In which sampling method does every member of the population have an equal chance of being selected?
A) Purposive sampling B) Simple random sampling C) Snowball sampling
7. In snowball sampling, how are new participants typically found?
A) Through advertisements B) By using random selection C) By being referred by earlier participants
6. What is a key feature of quota sampling?
A) Using random number generators B) Selecting people by fixed numbers from each group C) Letting participants choose themselves
10. Which of the following is the first step in the sampling cycle?
A) Collecting data B) Accepting the sample C) Identifying the universe population
2. What is the term for the group of people selected to represent a larger population?
A) Population B) Universe C) Sample
8. What makes a sample “good”?
A) It is as large as possible, no matter the context B) It is biased and targeted C) It is representative, unbiased, and accurate
1. What is the main reason researchers use sampling in social sciences?
A) To avoid statistical errors B) To make research quicker, cheaper, and more accurate C) To study only people who agree with them