Understanding Sampling in Research

What is the primary purpose of sampling in research?

• The primary purpose of sampling in research is to make inferences about a population based on a subset.

• To ensure every individual is surveyed in detail.

• To collect data from the entire population directly.

• To eliminate the need for statistical analysis.

Define the term 'population' in the context of sampling.

• Population refers to the average of a sample's data.

• Population is the method used to collect data from individuals.

• The term 'population' in sampling refers to the complete set of individuals or items that are the subject of a study.

• A population is a random sample taken from a larger group.

What is the difference between probability and non-probability sampling?

• Probability sampling is used only in qualitative research, while non-probability sampling is used in quantitative research.

• Non-probability sampling guarantees a representative sample, while probability sampling does not.

• Probability sampling is random and representative, while non-probability sampling is non-random and may introduce bias.

• Probability sampling is always biased, while non-probability sampling is always random.

Name one advantage of using random sampling.

• It allows for easier data manipulation.

• It reduces bias in the selection process.

• It guarantees a representative sample.

• It increases the cost of data collection.

What is stratified sampling and when is it used?

• Stratified sampling is used to ensure representation of specific subgroups within a population.

• Stratified sampling is used to select a random sample from the entire population.

• Stratified sampling is a method to analyze data after it has been collected.

• Stratified sampling is used to eliminate bias in qualitative research.

Explain the concept of sample size and its importance.

• Sample size refers to the total number of variables in a study.

• Sample size is irrelevant to the accuracy of research findings.

• Sample size is the average age of participants in a study.

• Sample size is the number of observations in a study, and it is important for ensuring reliable and valid results.

What is a sampling frame?

• A sampling frame is a method of data analysis.

• A sampling frame is a random selection of individuals from a population.

• A sampling frame is a statistical technique for estimating population parameters.

• A sampling frame is a list of all the elements in a population from which a sample is drawn.

Describe convenience sampling and its potential drawbacks.

• Convenience sampling ensures a representative sample by random selection.

• Convenience sampling is a method of selecting samples based on ease of access, but it can result in biased outcomes and lack of representativeness.

• Convenience sampling is a method that guarantees unbiased results.

• Convenience sampling is only used in qualitative research and has no drawbacks.

What is the role of sampling error in research findings?

• Sampling error is only relevant in qualitative research.

• Sampling error affects the accuracy and reliability of research findings.

• Sampling error improves the validity of research findings.

• Sampling error has no impact on research conclusions.

How can researchers ensure their sample is representative of the population?

• Only survey individuals from urban areas.

• Choose participants based on their availability.

• Use convenience sampling to select participants.

• Use random sampling and stratification to reflect population characteristics.