Phenomenon: The phenomenon I am interested in is the high turnover rate among teachers in my school district.

Quantitative research question: What is the average turnover rate for teachers in my school district? What are the factors that contribute to the high turnover rate?

Qualitative research question: What are the experiences of teachers who have left my school district? What factors led them to leave? What could be done to improve retention rates?

To answer these questions, I could use a variety of sampling methods. For the quantitative research question, I could use a simple random sample of teachers in my school district. This would give me a representative sample of teachers and allow me to make generalizations about the population of teachers in my school district.

For the qualitative research question, I could use a purposive sample of teachers who have left my school district. This would allow me to get in-depth insights into the experiences of these teachers and the factors that led them to leave.

I would also need to consider the type of data collection method to use. For the quantitative research question, I could use a survey or a questionnaire. This would allow me to collect data from a large number of teachers in a relatively short amount of time.

For the qualitative research question, I could use interviews or focus groups. This would allow me to collect more in-depth data from a smaller number of teachers.

The type of sampling method and data collection method that I choose will depend on the specific research questions that I am asking and the resources that I have available.

Discussion:

There are many different types of sampling methods, each with its own advantages and disadvantages. Some of the most common types of sampling methods include:

• Simple random sampling: This is the most basic type of sampling method. Every member of the population has an equal chance of being selected.
• Systematic sampling: This method involves selecting every nth member of the population.
• Stratified sampling: This method divides the population into strata, or groups, and then selects a random sample from each stratum.
• Cluster sampling: This method divides the population into clusters, or groups, and then selects a random sample of clusters.
• Quota sampling: This method selects a sample that reflects the known characteristics of the population.

The choice of sampling method will depend on the specific research questions that the researcher is asking and the resources that are available. For example, if the researcher is interested in studying a rare phenomenon, then they may need to use a non-probability sampling method, such as quota sampling.

The type of data collection method that is used will also depend on the research questions that are being asked. For example, if the researcher is interested in collecting quantitative data, then they may use a survey or a questionnaire. If the researcher is interested in collecting qualitative data, then they may use interviews or focus groups.

The choice of data collection method will also depend on the resources that are available. For example, surveys and questionnaires are relatively easy to administer and analyze, but they can be time-consuming to develop. Interviews and focus groups are more time-consuming to administer, but they can provide more in-depth data.

The researcher should carefully consider the advantages and disadvantages of each type of sampling method and data collection method before making a decision. The best sampling method and data collection method will depend on the specific research questions that are being asked and the resources that are available.