Select one of the more common statistical tests used in nursing research. State which statistic you selected. 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. Expectations Initial Post: · Length: A minimum of 250 words, not including references · Citations: At least one high-level scholarly reference in APA format from within the last 5 years Discussion: Respond to Posts in Your Own Thread please use the text below for reference Carlson, J.F., Geisinger, K.F., & Jonson, J.L.(Eds.) (2017). The Twentieth Mental Measurements Yearbook [Reference]. Lincoln, NE: Buros Center for Testing. This could be based on the week 3 discussion post or it could be related to your original PICOT question.  My PICOT question is For elderly patients above 60 years with pressure ulcers (P) will the negative pressure wound therapy (I) as opposed to standard moist wound therapy (C) improve the healing of the pressure ulcer (O) during their two-week stay at the hospital (T).

One of the more common statistical tests used in nursing research is the t-test. The t-test is a parametric statistical test that is used to compare means between two groups. It can be used to determine if there is a statistically significant difference between the means of two groups, such as the experimental and control groups in a nursing research study.

To use the t-test, the level of measurement required is at least interval or ratio. This means that the data should have numerical values, and the intervals between the values should be equal. For example, if a nursing research study is comparing the pain levels between two groups of patients, the pain levels should be measured on a numerical scale where the intervals between each level are equal.

In the given research study on elderly patients above 60 years with pressure ulcers, the t-test could be used to compare the healing of pressure ulcers between the group receiving negative pressure wound therapy (NPT) and the group receiving standard moist wound therapy (SMWT). The t-test would be used to determine if there is a statistically significant difference in the healing outcomes between the two groups.

For example, let’s say that the researchers measure the area of the pressure ulcers at the beginning of the study and at the end of the two-week period. They collect data from two groups of elderly patients: one group receiving NPT and the other group receiving SMWT. The area of the pressure ulcers is measured in square centimeters, which is an interval level of measurement.

After collecting the data, the researchers can utilize the t-test to compare the mean change in the area of the pressure ulcers between the two groups. The null hypothesis would be that there is no difference in the mean change in the area of the pressure ulcers between the NPT and SMWT groups, while the alternative hypothesis would be that there is a difference.

By conducting the t-test, the researchers will obtain a t-value and a corresponding p-value. If the p-value is less than the predetermined alpha level (usually 0.05), the null hypothesis is rejected and it can be concluded that there is a statistically significant difference in the healing of pressure ulcers between the NPT and SMWT groups.

This information would be valuable for nursing practice as it would provide evidence on the effectiveness of NPT compared to SMWT in improving the healing of pressure ulcers in elderly patients. Nurses could use this information to make informed decisions about the management of pressure ulcers in this specific population.

In conclusion, the t-test is a commonly used statistical test in nursing research. It requires at least interval level of measurement and can be used to compare means between two groups. In the given nursing research study, the t-test could be used to compare the healing of pressure ulcers between the group receiving NPT and the group receiving SMWT in elderly patients above 60 years with pressure ulcers.