Sampling Knowledge Check

1. Suppose you want to survey households in a city. You divide the city into neighborhoods and randomly select a few neighborhoods. Then you survey all households within the selected neighborhoods 

• • Simple Random Sampling

• • Systematic Sampling 

• • Stratified Sampling 

• • Cluster Sampling

Suppose you have a population of 200 students from different grades (100 freshmen, 50 sophomores, and 50 juniors). In that case, you may take a proportionate number from each group, like 10 freshmen, 5 sophomores, and 5 juniors, to ensure representation from each grade.

• • Simple Random Sampling

• • Systematic Sampling 

• • Stratified Sampling 

• • Cluster Sampling

Suppose you have a class of 50 students, and you assign each student a number from 1 to 50. Using a random number generator, you select 10 numbers, and those corresponding students are chosen for your sample.

• • Simple Random Sampling

• • Systematic Sampling 

• • Stratified Sampling 

• • Cluster Sampling

In a population of 1,000 houses, you choose to select every 10th house from a list sorted by address. So if you start with house number 3, you would choose house numbers 3, 13, 23, and so on.

• • Simple Random Sampling

• • Systematic Sampling 

• • Stratified Sampling 

• • Cluster Sampling

 You recruit participants through referrals from initial participants. For instance, you ask a few people to recommend others for a study on a specific topic

• • Convenience Sampling 

• • Snowball Sampling

• • Purposive Sampling 

• • Quota Sampling 

1. You conduct a survey by approaching people in a shopping mall

• • Convenience Sampling 

• • Snowball Sampling

• • Purposive Sampling 

• • Quota Sampling 

 Choosing a sample that reflects the proportions of different groups within the population, like ensuring a certain number of males and females in a survey.

• • Convenience Sampling 

• • Snowball Sampling

• • Purposive Sampling 

• • Quota Sampling 

1. Selecting participants bases on specific characteristics or criteria relevant to the research, such as choosing individuals who have experienced a particular event for a case study 

• • Convenience Sampling 

• • Snowball Sampling

• • Purposive Sampling 

• • Quota Sampling