When selecting the sample size, what should be used?

Using the sample size grid and system calculated minimum is essential when selecting a sample size because it provides a statistically sound method to determine the number of observations required to achieve reliable results. This approach ensures that the sample is sufficiently representative of the population, taking into account the desired level of confidence and margin of error.

The sample size grid often incorporates factors such as population size, variability, and the statistical power needed for the study. By following established calculations, surveyors can ensure that their findings reflect true trends and are not skewed by insufficient data. This method is systematic and grounded in statistical principles, making it the most credible basis for determining sample size in survey methodologies.

In contrast, relying on the latest healthcare trends, the average number of residents, or feedback from staff interviews may provide valuable insights but lacks the rigorous statistical foundation necessary for properly determining sample size. Trends can be misleading, averages do not account for variability, and subjective feedback may not be representative or quantifiable. Thus, they do not equate to the robustness that a calculated minimum provides in survey sampling.