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Selection of Sample Size

帮考网校2020-08-07 15:01:14

The selection of sample size depends on various factors such as the research objective, population size, level of accuracy required, budget, and time constraints. Here are some methods for selecting a sample size:

1. Probability Sampling: In this method, each member of the population has an equal chance of being selected for the sample. The sample size can be determined using statistical formulas based on the population size, level of confidence, and margin of error.

2. Non-Probability Sampling: In this method, the sample is selected based on the researcher's judgment, convenience, or availability. The sample size is determined based on the research objective and the resources available.

3. Power Analysis: This method is used to determine the sample size required to detect a significant effect in a study. Power analysis considers factors such as the effect size, level of significance, and statistical power to determine the sample size.

4. Pilot Study: Conducting a pilot study can help determine the appropriate sample size for a larger study. The pilot study can provide information on the variability of the data, the feasibility of the study design, and the resources required.

In general, a larger sample size provides greater precision and accuracy in the results. However, the sample size should be balanced with the available resources and the research objectives.