Sampling Methods Quiz

What is the target population in a study?

• The entire group you could possibly study

• The group the researcher specifically wants to focus on

• The list of names available to contact

• The smaller group participating in the study

What does sampling refer to?

• Measuring the outcomes of the study

• Choosing participants from a larger population

• Analyzing the data collected

• Interviewing people after the study

Which sampling method ensures that key subgroups (like gender or age) are properly represented?

• Convenience Sampling

• Random Sampling

• Stratified Sampling

• Snowball Sampling

What is a major limitation of convenience sampling?

• It is too expensive.

• It requires complicated calculations.

• It often leads to biased and unrepresentative samples.

• It is difficult to find participants.

What does external validity refer to?

• How well a study is conducted inside a lab

• Whether the study’s results apply to other people, places, or times

• How accurately variables are measured

• The level of statistical significance

In snowball sampling, participants:

• Are selected completely at random

• Are recruited by previous participants

• Are assigned into different groups

• Are selected based on their convenience

What is the sampling frame?

• The list of people you can actually reach

• The method used to analyze data

• The conclusion of the research

• The location where the study takes place

Which of the following is a strength of purposive sampling?

• It ensures all subgroups are equally represented.

• It focuses on participants relevant to the study.

• It guarantees a random selection.

• It easily generalizes to a large population.

Why might random sampling be difficult in real life?

• It takes too little time.

• It requires access to the full population list.

• It creates biased results automatically.

• It is only useful for small studies.

What can happen if a sample does not properly represent the population?

• Internal validity increases.

• External validity decreases.

• Sampling bias is eliminated.

• Reliability automatically improves.