Sampling techniques PPD2 week 7

Identify and distinguish between various sampling techniques used in both qualitative and quantitative research, including random sampling, stratified sampling, purposive sampling, and snowball sampling.

• Random sampling and stratified sampling are used in quantitative research, while purposive sampling and snowball sampling are used in qualitative research.

• Random sampling and purposive sampling are used in qualitative research, while stratified sampling and snowball sampling are used in quantitative research.

• All sampling techniques are used exclusively in quantitative research.

• All sampling techniques are used exclusively in qualitative research.

Evaluate the suitability of different sampling methods for specific research questions and contexts, recognizing the implications of their choices on the validity and reliability of research findings.

• Sampling methods are crucial for research validity and reliability.

• Different sampling methods have no impact on research findings.

• All sampling methods are equally suitable for any research context.

• The choice of sampling method does not affect research outcomes.

Design a research study that effectively incorporates appropriate sampling techniques, demonstrating your understanding of how to select a representative sample that aligns with the study’s objectives.

• What is the first step in designing a research study?

• How do you select a representative sample in research?

• What is the importance of sampling techniques in research?

• How can you ensure a sample aligns with study objectives?

What are sampling techniques in research?

• Methods used to select a subset of a population for study

• Techniques to analyze data

• Ways to conduct experiments

• Strategies for writing research papers

Sampling techniques are important in research because they:

• allow researchers to study a subset of the population, making the research more manageable and cost-effective.

• ensure that every individual in the population is studied, providing comprehensive results.

• eliminate the need for data analysis by providing direct conclusions.

• guarantee that research findings are universally applicable without any limitations.

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

• Probability samples are selected randomly, while non-probability samples are selected based on non-random criteria.

• Probability samples are always larger than non-probability samples.

• Probability samples are more biased than non-probability samples.

• Probability samples are less reliable than non-probability samples.

Explain Random Sampling as described in the Types of Sampling Techniques.

• Random Sampling is a technique where each member of a population has an equal chance of being selected.

• Random Sampling involves selecting samples based on convenience.

• Random Sampling is a method where samples are selected based on judgment.

• Random Sampling is a technique where samples are selected in a systematic manner.

Systematic Sampling is described in the Types of Sampling Techniques as:

• a method where every nth element is selected from a list

• a method where samples are chosen randomly

• a method where samples are chosen based on convenience

• a method where samples are chosen based on judgment

Explain Stratified Sampling as described in the Types of Sampling Techniques.

• Stratified sampling involves dividing the population into subgroups and taking a sample from each subgroup.

• Stratified sampling is a method where every member of the population has an equal chance of being selected.

• Stratified sampling is used to collect data from a single subgroup of the population.

• Stratified sampling is a technique where samples are taken randomly without any subgroup division.

Cluster Sampling is a type of sampling technique where:

• the entire population is divided into clusters, and a random sample of these clusters is selected.

• every member of the population has an equal chance of being selected.

• samples are chosen based on the researcher's judgment.

• participants are selected based on their availability.