What level of measurement is required for using your selected statistical test? Provide an example of how your selected statistical test could be used in a nursing research study.

The level of measurement required for using my selected statistical test will depend on what type of data is being collected. Generally speaking, a parametric test such as a t-test would require interval or ratio data; while nonparametric tests such as the Mann-Whitney U Test could be used with ordinal or nominal data.

For example, if I were running a nursing research study that sought to examine the differences between two populations on an outcome measure (e.g., pain levels), then I could use a t-test since this type of outcome measure is usually measured using interval or ratio scales (i.e., numeric values). On the other hand, if I wanted to compare two groups on an attitudinal measure (e.g., satisfaction levels) then I might choose to use the Mann-Whitney U Test since this variable is often measured using ordinal scales (i.e., rank ordering values).

Overall, understanding which statistical test requires what level of measurement is essential when designing and conducting quantitative research in nursing studies – as it ensures that correct inferences are drawn from these analyses afterwards by comparing results against appropriate standards and expectations accordingly.