Clinical significance and statistical significance after the Data Collection
Order Description
All the questions below: (After the data are collected, it is time to analyze the results!)
• Discuss one (1) of the four basic rules for understanding results in a research study as described below.
There are four basic rules to looking at data in the results section of a study.
RULE #1 Understand the purpose of the study.
RULE #2 Identify the variables – dependent and independent.
RULE #3 Identify how the variables are measured.
RULE #4 Look at the measures of central tendency and the measures of variability for the study variables.
• Compare clinical significance and statistical significance.
o Which one is more meaningful when considering applying evidence to your practice (WRITER, I WORK IN A CORRECTIONAL JAIL SETTING AS A CORRECTIONAL NURSE)?
• Compare descriptive statistics and inferential statistics in research.
o Please give an example of each type that could be collected in a study that would be done on your nursing clinical issue you identified in previous weeks (WRITER, I IDENTIFIED AN INCREASE OF HIV DIAGNOSIS AMONGST AFRICAN-AMERICAN MALES INCARCERATED).
In medicine and psychology, statistical significance is used in the hypothesis testing in which the null hypothesis which refers to the lack of a relationship between the observed variables is tested. Statistical significance is used to show or depict an association between the groups considered in the study. Statistical significance is said to be achieved when the observed p-value is found to be less than the significance level that has been set for the study. On the other hand, clinical significance refers to the practical importance of a treatment effect regardless of whether it has a noticeable palpable, real genuine effect on daily life.When making considerations as to the validity of a study, it is necessary to determine the clinical and statistical significance of the findings as in some studies may have one and lack the other (Jakobsen et al. 2014).
