Sampling and Data Collection

Why do researchers use sampling methods when conducing research?

• It is more accurate

• It is more efficient

• It is more feasible

• It is more comprehensive

Which type of non-probability sampling involves selecting individuals who are easiest to reach?

• A. Quota sampling

• B. Purposive sampling

• C. Convenience sampling

• D. Network (snowballing) sampling

What is a key feature of probability sampling?

• Utilizes randomization

• Utilizes non-randomization

• Utilizes convenience

• Utilizes judgment

Which type of sampling is best for ensuring that specific subgroups are represented in the sample?

• Stratified random sampling

• Simple random sampling

• Cluster sampling

• Judgment sampling

What does stratified random sampling do to the population?

• Combines the population into one group

• Subdivides the population into strata

• Ignores the population characteristics

• Randomly selects individuals without grouping

Why is it important to define concepts/variables in data collection?

• To ignore the variables

• To use arbitrary definitions

• To ensure clarity and consistency

• To use subjective definitions

Which of the following is a potential issue with self-report methods?

• High cost

• Social desirability

• Complex technology

• Long duration

Self-report methods are NOT useful for which of the following?

• Variables that can be directly observed

• Variables that cannot be directly observed

• Nursing research

• Measuring social desirability

Define sampling and discuss its importance in research.

• Sampling is the process of selecting a subset of individuals from a larger population to represent that population.

• Sampling is the process of selecting all individuals from a specified population to manipulate a variable.

• Sampling is only necessary in qualitative research, not quantitative research.

• Sampling is not important in research as it leads to biased results.