Understanding Sampling Techniques

What are the main types of sampling methods?

• Probability sampling and non-probability sampling

• Stratified sampling and cluster sampling

• Qualitative sampling and quantitative sampling

• Random sampling and systematic sampling

Define probability sampling and give an example.

• Probability sampling is a method where selection is based on personal preference.

• Probability sampling is a technique where each member of a population has a known chance of being selected.

• Probability sampling guarantees that every member will be selected.

• An example of probability sampling is convenience sampling.

What is non-probability sampling and when is it used?

• Non-probability sampling is a technique where not all individuals have a chance of being selected.

• It is a method used exclusively for quantitative research.

• Non-probability sampling ensures every individual has an equal chance of selection.

• Non-probability sampling is only applicable in laboratory settings.

Which of the following is true about sampling methods.

• Stratified Sampling: Population is divided into strata, and samples are taken from each stratum.

• Convenience Sampling: Selecting samples based on ease of access rather than randomness.

• Cluster Sampling: Selecting entire groups instead of individuals.

• Systematic Sampling: Choosing every nth member from a list without randomness.

What is sampling error and how can it affect research results?

• Sampling error has no impact on research conclusions.

• Sampling error is the difference between the sample statistic and the actual population parameter, affecting the accuracy and reliability of research results.

• Sampling error only occurs in qualitative research.

• Sampling error is the same as measurement error.

How do you determine an appropriate sample size for a study?

• Choose a sample size randomly without calculations

• Use only the population size to decide

• Select a sample size based on convenience

• Calculate using population size, confidence level, margin of error, and estimated proportion.

What are some common data collection methods used in sampling?

• Surveys, interviews, observations, experiments

• Data mining

• Statistical analysis

• Focus groups