Critical Analysis – Chi-square, Correlation, or Regression
Advanced evidence-based practice in nursing relies on the identification, interpretation, and evaluation of existing research to inform action steps and identify future research needs and gaps in knowledge.

Watch “Contribution of Biostatistics and Epidemiology to Advanced Nursing Practice.”

Video with Transcript

For this assignment, you will conduct a critical analysis of an article (with a specific methodology) related to the problem you identified in Week 1. A critical analysis includes a breakdown and critique of components of the study. This includes the following:

Alignment of the problem and the methodology
Study limitations
Strength of the evidence
Validity and reliability of the study

Instructions

Locate a scholarly, peer-reviewed article from the past 5 years in the University Library that:

Relates to the problem you identified in Week 1
Uses cross-tabulation, correlation, or regression analysis within the methodology of the study

Note: This article must be different from others previously reviewed.

Complete the Critical Analysis Template.

Submit your assignment. Here is the article Hailu, F., Moen, A., & Hjortdahl, P. (2019). Diabetes Self-Management Education (DSME) – Effect on Knowledge, Self-Care Behavior, and Self-Efficacy Among Type 2 Diabetes Patients in Ethiopia: A Controlled Clinical Trial. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, 12, 2489 – 2499. https://doi.org/10.2147/DMSO.S223123
DNP/701 Critical Analysis Template
Conduct a critical analysis of your selected article using the template below. Your responses must be thorough and substantive to reflect an appropriate critical analysis.
Criteria Response
Reference
Provide a complete APA-formatted reference for the article being reviewed.
Problem Statement
Summarize the study’s problem statement in one or two complete sentences.
Article question or aim: Summarize the question and/or aim of the article.
Methodology and Design
• Identify the design used by the researcher(s).
• Is the design appropriate for this study? Explain your answer.
Sample Size and Selection
• Identify the study’s sample size and selection method.
• Is the power sufficient for the study? Explain your answer.
Data Analysis and Results
• Identify the studies data analytic technique
• Briefly summarize the results.
Validity and Reliability
Critique validity and reliability in the study.
Ethical Concerns
Explain any ethical concerns in the study.
Limitations
Explain any limitations in the study.
Discussion (in 1 paragraph)
Explain conclusions of the study and how results can be applied to the problem in Wk 1

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Biostatistics Exercise: Correlation
Assignment Content
Preparation

Complete the LinkedIn Learning Week 7 tutorials located in the Wk 7 Learning Activities folder prior to starting this week’s biostatistics exercises. The tutorials contain critical information you will need to know to complete this week’s biostatistics exercises.

Instructions

Access the Age and Blood Pressure data set.

Obtain descriptive statistics for each variable.

Perform a bivariate correlation Correlation analysis tool in Excel.

Perform a bivariate correlation analysis following the techniques in the assigned videos. Make sure to check the output option, “New Worksheet.”

Insert a text box into the sheet and name it Data for Correlation. Insert your answers to the questions below in that text box.

Is there a statistically significant association between age and systolic BP? How do you know (provide statistical evidence)?
What does the current (last 5 years) peer-reviewed literature say about your findings in this data set? Provide at least 1 current peer-reviewed reference.

Save this workbook as LastNameFirstInitial_Correlation.

Submit your assignment.

Answer the questions:
1. Is there an association between age and systolic BP? How do you know?(provide statistical evidence).
2. What does the current (last 5 years) peer reviewed literature say about your finding in this data set?

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Social Determinants of Health Biostatistics Exercise: Multiple Regression
Exam Content
Preparation
Complete the LinkedIn Learning Week 7 tutorials in the Wk 7 Learning Activities folder prior to starting this week’s biostatistics exercises. The tutorials contain critical information about how to complete this week’s biostatistics exercises.

Instructions

Access the Social Determinants of Health and Chronic Disease data set.

Obtain descriptive statistics for each variable.

Perform a multiple regression analysis following the techniques in the videos to answer the following question:

Is CVD mortality rate (DthCVD) in the United States predicted by the variables, tobacco smoke as a percent of the population (TobaccoSmokPer) and the percent of adults that met the federal guidelines on physical activity (AdultPhysExPer)?

Working in the new worksheet and using the Format drop-down, autofit the contents of the columns in your output sheet so that all column titles can be plainly seen; format the numbers in the cells to 2 decimal places using the Format drop-down, select Cells, select Numbers, and change the number to 2.

Insert a textbox into the new worksheet and answer the following questions within that textbox:

Is this model significant? If yes, explain its significance. What statistic makes it significant, and what are the implications of that statistic? What is the overall significance of the model? Hint: Look at the ANOVA table.
How much of the variance in CVD mortality rate is explained by this regression model? Hint: Look at the adjusted R square.
Which of the correlation coefficients are statistically associated with CVD mortality rate? What is the significance of the correlation? Explain the implications of the correlation.
Describe what your regression analysis tells you about the factors that explain or predict the U.S. CVD mortality rate.
Are the results of your findings supported in the literature? Provide at least 1 current peer-reviewed reference within the past 5 years to support your answer.

Rename the new worksheet, “Regression.”

Save this workbook as LastNameFirstIInitial_Regression.

Submit your assignment.

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