Sampling Methods Post-Test

A subset of a larger population used to gather information about the whole group is called a:

• Hypothesis

• Sample

• Population

• Variable

Probability samples are advantageous because:

• They are easier to collect than non-probability samples.

• They allow for more generalizable results to the population.

• They are less time-consuming to implement.

• They provide more in-depth information about individual cases.

In a simple random sample, every member of the population has an:

• Unknown chance of being selected.

• Unequal chance of being selected.

• Equal chance of being selected.

• Limited chance of being selected.

Sampling methods are categorized into two main types. Which of these is NOT a type of sampling method?

• Probability Sampling

• Non-Probability Sampling

• Random Sampling

• Systematic Sampling

Which of the following refers to the entire group you're interested in studying for your research?

• Sample

• Population

• Statistic

• Hypothesis

When designing a sample for your research, what are the three key decisions you need to make?

• Research question, budget, and timeline.

• Sample size, data collection method, and analysis technique.

• Who will be surveyed, how many people, and how to choose them.

• Population characteristics, ethical considerations, and limitations.

A stratified random sample involves dividing the population into subgroups and then drawing random samples from each subgroup. This is useful when:

• You want a quick and easy sample to collect.

• The population is homogenous.

• The population has subgroups with distinct characteristics.

• You have a limited budget for the study.

In cluster sampling, the population is divided into groups (clusters), and then a random selection of clusters is chosen. All members within the chosen clusters are then included in the sample. This method is most appropriate when:

• A complete list of the population is readily available.

• The population is geographically dispersed.

• The researcher needs a highly representative sample.

• The focus is on a specific subgroup within the population.

Non-probability samples are chosen based on the researcher's judgment or convenience. When might a researcher choose to use a non-probability sample?

• When a complete list of the population is unavailable.

• When a random sample is too expensive or time-consuming.

• When the goal is to explore a new phenomenon in detail.

• All of the above.

Systematic sampling involves selecting every nth member from a list of the population. What is the main advantage of this method?

• It ensures a perfectly representative sample.

• It is very complex and time-consuming to implement.

• It is a good choice for populations with unknown characteristics.

• It is simple and straightforward to implement.