Data Collection and Sampling Methods

What are examples of convenience sampling?

• Selecting individuals based on specific criteria.

• Self-selecting samples.

• Just asking around

• Choosing individuals one at a time.

In experimental and observational studies, what is the variable of interest called?

• Existing source

• Response variable

• Factors

• Observational variable

What is the term used for data that we collect ourselves for a specific purpose?

• Existing sources

• Experimental and Observational studies

• Observational studies

• Response variable

Which of the following is NOT a means of conducting surveys?

• Personal interview

• Telephone interview

• Experiments

• Questionnaire

What are non-observation errors in the context of sampling?

• Errors that occur when observations are accurately recorded.

• Errors that naturally occur in the sampling process.

• Errors that are unrelated to the sampling process.

• Errors that result from participant nonresponse.

How is a multistage sample different from other sampling methods?

• It uses only one sampling method.

• It involves a combination of various sampling methods.

• It relies on convenience sampling.

• It prioritizes statistical validity.

Despite its limitations, when might convenience sampling be considered useful?

• When statistical validity is crucial.

• When a specific selection process is desired.

• As a rough guess.

• When a simple random sample is preferred.

What is the key consideration when choosing the value of k in systematic sampling?

• It should be based on specific criteria

• It should be chosen arbitrarily

• It should correspond to a random number between 1 and k

• It should be reasonable to achieve the target sample size

What is nonresponse in the context of errors in sampling?

• Participants who actively participate in the survey.

• An error that naturally occurs in the sampling process.

• Participants who won't or can't participate in the survey.

• Accurate matching of people sampled to the population of interest.

How does the stratified random sample differ from the simple random sample in terms of population division?

• The stratified random sample divides the population based on specific criteria

• The simple random sample divides the population into two or more groups called strata

• Both use random selection without population division

• Both use arbitrary selection without population division