Descriptive Statistics in DNP
Discuss types of information that descriptive statistics can provide to the DNP student when they is examining literature; provide examples of descriptive statistics that are presented in the literature and those that you can collect when conducting your Capstone project.
Please include at least 500 words in your initial thread.
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Descriptive Statistics in DNP
Participation Requirements
The student must answer the graded discussion with a substantive reply to the graded discussion question(s)/topic(s) posted by the course instructor by Wednesday, 11:59 p.m. Eastern Time of each week. Two scholarly sources references are required unless stated otherwise by your professor.
Here are the categories of the new discussion rubric:
Initial Post relevance to the topic of discussion, applicability, and insight. (20%)
Quality of Written Communication Appropriateness of audience and words choice is specific, purposeful, dynamic, and varied. Grammar, spelling, punctuation. (20%)
Inclusion of DNP essentials explored in the discussion as well as the role-specific competencies as applicable.(10%)
Rigor, currency, and relevance of the scholarly references. (Use articles that are below 5 years). (20%)
Peer & Professor Responses. The number of responses, quality of response posts. (20%)
Timeliness of the initial post and the answers to the peers. (10%)
Role of Descriptive Statistics in Literature Review
Descriptive statistics offer essential summaries of data within scholarly articles. They help DNP students understand population characteristics, intervention outcomes, and prevalence rates. For example, an article may report that 70% of participants experienced improved outcomes with a certain intervention. This allows students to quickly assess how applicable findings might be to their patient population or clinical setting.
Common Descriptive Measures in Literature
In academic journals, researchers often use means and standard deviations to describe continuous variables such as age, blood pressure, or length of hospital stay. Frequencies and percentages are used for categorical variables like gender, race, or diagnosis. These measures help paint a clear picture of the study’s sample and support comparison across different studies.
