Statistics in nursing | Nursing homework help

There are several types of statistical tests. Parametric tests can be used when there is large sample size and data that is not normally distributed. Parametric tests are used when the data is either interval- or ratio-level. This means that measurements have a constant scale and that they can be repeated. These parametric tests are paired-and independent sample t-tests (ANOVA), and linear regression.

However, these tests are useful when there is a small sample or data that isn’t normally distributed. They do not presume that data follow a certain distribution and can be used to analyze ordinal as well as nominal data. Non-parametric tests are Mann Whitney U and Wilcoxon signed rank test. Kruskal–Wallis H is another example.

Report on Test Results: It is crucial to report the results of all test by indicating the alpha value used in the significance criteria. This information should be stated at the start of data analysis as well as the results section. For example, “An alpha or significance level of < .05 was used for all statistical tests in the project.”

The result is statistically significant if the p value is lower than the alpha level. For example, “A statistically significant difference was noted between the scores before compared to after the intervention t(24) = 2.37, p = .007.”

A marginally significant value means that the p-value exceeds the alpha level, but it’s in the predicted direction. For example, “Scores indicated a marginally significant preference for the intervention group (M = 3.54, SD = 1.20) compared to the baseline (M = 3.10, SD = .90), t(24) = 1.37, p = .07.”

The results that exceed.10 are not considered significant. However, if the trend is in the expected direction it is worth reporting. For example, “Results indicated a non-significant trend for the intervention group (14) over…”

Appendix: A comparison table of the variable’s level of measurement is provided as an appendix to the paper. The table shows the dependent variables along with their measurement level, whether they are nominal, ordinal or interval.

In the paper’s appendix, you will also find the outputs of statistical analysis. The results of each test are presented in the appendix.