what sampling strategies can be used if the maximum number of students she can include for her survey of 400 and the maximum number of students she can include for her interviews is 20.”
When determining sampling strategies for a survey or interview, there are different methods that can be used. Here are three common sampling strategies that can be applied in this scenario:
1. Random Sampling: This strategy involves randomly selecting participants from the target population without any bias. In this case, the researcher can use a random number generator or assign each student a numerical value and choose a sample of 400 students for the survey and 20 students for the interview.
2. Stratified Sampling: This strategy involves dividing the target population into subgroups or strata based on relevant characteristics (e.g., grade level, gender, or academic performance). The researcher can then select a representative sample from each stratum. For instance, if the school has different grade levels, the researcher may choose a proportional number of students from each grade to ensure a fair representation.
3. Cluster Sampling: This strategy involves dividing the target population into groups or clusters (e.g., classrooms or school districts) and selecting a few clusters to survey or interview. In this case, the researcher can randomly select a specific number of classrooms or school districts and include all the students from those selected clusters in the sample.
It's important to note that there are other sampling strategies available, and the choice of strategy depends on various factors such as the research objectives, available resources, and the characteristics of the target population. Researchers must carefully consider the strengths and limitations of each strategy before making a choice.